Econometrics and economic statistics Books
Emerald Publishing Limited Statistical Methods in Econometrics
Book SynopsisCovers both multivariate analysis and matrix algebra. This work focuses on tests of hypotheses such as the Lagrange multiplier test. It discusses asymptotic distribution theory, and characteristic functions in depth. It is suitable for beginning graduate courses in mathematical statistics and econometrics.Table of ContentsProbability Theory: Introduction. Basic Probability. Random Variables and Distributions. Some Special Distributions. Multivariate Distributions. Statistical Inference: Sampling Theory. Asymptotic Distribution Theory. Estimation. Tests of Hypothesis. Econometrics: Multiple Regression. Functional Forms and Dummy Variables. Nonspherical Disturbances. Appendixes. References. Author Index. Subject Index.
£97.84
Emerald Publishing Limited Asymptotic Theory for Econometricians
Book SynopsisAn econometric estimator is a solution to an optimization problem. This book provides the tools and concepts necessary to study the behavior of econometric estimators and test statistics in large samples.Table of ContentsThe Linear Model and Instrumental Variables Estimators. Consistency. Laws of Large Numbers. Asymptotic Normality. Central Limit Theory. Estimating Asymptotic Covariance Matrices. Functional Central Limit Theory and Applications. Directions for Further Study. Solution Set. References. Index.
£78.84
Pearson Education (US) Statistics for Managers Using Microsoft Excel
Book SynopsisIntended primarily for undergraduate courses in business statistics, this text also provides practical content to current and aspiring industry professionals. Reducing the emphasis on doing computations, this practical text thoroughly integrates Microsoft® Excel as a tool for analysis and presents statistical concepts in the context of the functional areas of business. 0133130800 / 9780133130805 Statistics for Managers Using Microsoft Excel Plus MyStatLab -- Access Card Package Package consists of: 0133061817 / 9780133061819 Statistics for Managers Using Microsoft Excel 0133074382 / 9780133074383 MyStatLab -- Standalone Access Card -- for Statistics for Managers Using Microsoft Excel Table of ContentsLet’s Get Started: Big Things to Know First 1. Defining and Collecting Data 2. Organizing and Visualizing Data 3. Numerical Descriptive Measures 4. Basic Probability 5. Discrete Probability Distributions 6. The Normal Distribution and Other Continuous Distributions 7. Sampling Distributions 8. Confidence Interval Estimation 9. Fundamentals of Hypothesis Testing: One Sample Tests 10. Two-Sample Tests 11. Analysis of Variance 12. Chi-Square and Nonparametric Tests 13. Simple Linear Regression 14. Introduction to Multiple Regression 15. Multiple Regression Model Building 16. Time-Series Forecasting 17. A Roadmap for Analyzing Data 18. Statistical Applications in Quality Management (online) 19. Decision Making
£236.24
Pearson Education (US) Marketing Data Science
Book SynopsisThomas W. Miller is faculty director of the Predictive Analytics program at Northwestern University. He has designed courses for the program, including Marketing Analytics, Advanced Modeling Techniques, Data Visualization, Web and Network Data Science, and the capstone course. He has taught extensively in the program and works with more than forty other faculty members in delivering training in predictive analytics and data science. Miller is owner of Research Publishers LLC and its ToutBay Division, a publisher and distributor of data science applications. He has consulted widely in the areas of retail site selection, product positioning, segmentation, and pricing in competitive markets and has worked with predictive models for more than 30 years. Miller's books include Web and Network Data Science, Modeling Techniques in Predictive Analytics, Data and Text Mining: A Business Applications Approach, Research and Information Services: AnTable of Contents Preface Figures Tables Exhibits 1 Understanding Markets 2 Predicting Consumer Choice 3 Targeting Current Customers 4 Finding New Customers 5 Retaining Customers 6 Positioning Products 7 Developing New Products 8 Promoting Products 9 Recommending Products 10 Assessing Brands and Prices 11 Utilizing Social Networks 12 Watching Competitors 13 Predicting Sales 14 Redefining Marketing Research A Data Science Methods B Marketing Data Sources C Case Studies D Code and Utilities Bibliography Index
£53.54
Pearson Education (US) Student Solutions Manual for Basic Business
Book SynopsisMark L. Berenson is Professor of Information Management and Business Analytics at Montclair State University and Professor Emeritus of Information Systems and Statistics at Baruch College. He currently teaches graduate and undergraduate courses in statistics and operations management in the School of Business, and an undergraduate course in international justice and human rights that he co-developed in the College of Humanities and Social Sciences. Berenson received a BA in economic statistics and an MBA in business statistics from City College of New York and a PhD in business from the City University of New York. Berenson's research has been published in Decision Sciences Journal of Innovative Education, Review of Business Research, The American Statistician, Communications in Statistics, Psychometrika, Educational and Psychological Measurement, Journal of MTable of ContentsBrief Contents First Things First (online) Defining and Collecting Data Organizing and Visualizing Variables Numerical Descriptive Measures Basic Probability Discrete Probability Distributions The Normal Distribution and Other Continuous Distributions Sampling Distributions Confidence Interval Estimation Fundamentals of Hypothesis Testing: One-Sample Tests Two-Sample Tests Analysis of Variance Chi-Square and Nonparametric Tests Simple Linear Regression Introduction to Multiple Regression Multiple Regression Model Building Time-Series Forecasting Business Analytics Getting Ready to Analyze Data in the Future Statistical Applications in Quality Management (online) Decision Making (online)
£57.61
Pearson Education (US) Business Statistics
Book SynopsisTable of ContentsBrief Contents An Introduction to Business Statistics Displaying Descriptive Statistics Calculating Descriptive Statistics Introduction to Probabilities Discrete Probability Distributions Continuous Probability Distributions Sampling and Sampling Distributions Confidence Intervals Hypothesis Testing for a Single Population Hypothesis Tests Comparing Two Populations Analysis of Variance (ANOVA) Procedures Chi-Square Tests Hypothesis Tests for the Population Variance Correlation and Simple Linear Regression Multiple Regression and Model Building Forecasting Decision Analysis (online) Nonparametric Statistics (online) Appendix A: Tables Appendix B: Answers to Selected Even-Numbered Problems
£225.18
Pearson Education Student Solutions Manual for Business Statistics
Book SynopsisRobert (Bob) A. Donnelly, Jr. was a professor at Goldey-Beacom College in Wilmington, Delaware, with more than 25 years of teaching experience. He taught classes in statistics, operations management, spreadsheet modeling and project management at both the undergraduate and graduate level. Bob earned an undergraduate degree in chemical engineering from the University of Delaware, after which he worked for several years as an engineer with the Diamond Shamrock Corporation in a chlorine plant. Despite success in this field, Bob felt drawn to pursue a career in education. It was his desire to teach that took him back to school to earn his MBA and PhD in Operations Research, also from the University of Delaware. Bob also teaches in the MBA program at the International School of Management in Paris, France. He thoroughly enjoys discussing research methods and business statistics with both his French and American students. Table of ContentsBrief Contents An Introduction to Business Statistics Displaying Descriptive Statistics Calculating Descriptive Statistics Introduction to Probabilities Discrete Probability Distributions Continuous Probability Distributions Sampling and Sampling Distributions Confidence Intervals Hypothesis Testing for a Single Population Hypothesis Tests Comparing Two Populations Analysis of Variance (ANOVA) Procedures Chi-Square Tests Hypothesis Tests for the Population Variance Correlation and Simple Linear Regression Multiple Regression and Model Building Forecasting Decision Analysis (online) Nonparametric Statistics (online) Appendix A: Tables Appendix B: Answers to Selected Even-Numbered Problems
£64.45
Pearson Education Adobe XD CC Classroom in a Book 2018 release
Book SynopsisTable of ContentsGetting Started Lesson 1 An Introduction to Adobe Xd CC Lesson 2 Setting Up a Project Lesson 3 Creating Graphics Lesson 4 Adding Images and Text Lesson 5 Organizing Content Lesson 6 Working with Assets And Cc Libraries Lesson 7 Using Effects and Repeat Grids Lesson 8 Prototyping Lesson 9 Sharing Your Prototype Lesson 10 Sharing Design Specs and Exporting
£56.47
Pearson Education (US) Student Solutions Manual for Business Statistics
Book SynopsisNorean R. Sharpe, PhD, is Dean and the Joseph H. and Maria C. Schwartz Distinguished Chair at The Peter J. Tobin College of Business at St. John's University. As the chief academic officer of the Tobin College of Business, she is responsible for the curriculum for 2500 undergraduate business majors and 600 graduate students in one of seven MS/MBA programs, all supported by more than 150 faculty and staff on the Manhattan; Queens; Staten Island; and Rome, Italy campuses. Within the Tobin College is the Center for Enterprise Risk Management, the Applied Finance Institute, and the Global Business Stewardship Center, as well as the acclaimed School of Risk Management, Insurance, and Actuarial Science. Dr. Sharpe is an accomplished scholar, with 30 years of teaching experience at Yale University, Bowdoin College, Babson College, and Georgetown University -- and with more than 30 scholarly publications Table of ContentsBrief Contents PART I: EXPLORING AND COLLECTING DATA Data and Decisions (H&M) Visualizing and Describing Categorical Data (Dalia Research) Describing, Displaying, and Visualizing Quantitative Data (AIG) Correlation and Linear Regression (Zillow.com) PART II: MODELING AND PROBABILITY Randomness and Probability (Credit Reports, the Fair Isaacs Corporation, and Equifax) Random Variables and Probability Models (Metropolitan Life Insurance Company) The Normal and Other Continuous Distributions (The NYSE) PART III: GATHERING DATA Data Sources: Observational Studies and Surveys (Roper Polls) Data Sources: Experiments (Capital One) PART IV: INFERENCE FOR DECISION MAKING Sampling Distributions and Confidence Intervals for Proportions (Marketing Credit Cards: The MBNA Story) Confidence Intervals for Means (Guinness & Co.) Testing Hypotheses (Casting Ingots) More About Tests and Intervals (Traveler’s Insurance) Comparing Two Means (Visa Global Organization) Inference for Counts: Chi-Square Tests (SAC Capital) PART V: MODELS FOR DECISION MAKING Inference for Regression (Nambé Mills) Understanding Residuals (Kellogg’s) Multiple Regression (Zillow.com) Building Multiple Regression Models (Bolliger and Mabillard) Time Series Analysis (Whole Foods Market®) PART VI: ANALYTICS Introduction to Big Data and Data Mining (Paralyzed Veterans of America) PART VII: ONLINE TOPICS Quality Control (Sony) Nonparametric Methods (i4cp) Decision Making and Risk (Data Description, Inc.) Analysis of Experiments and Observational Studies Appendix A. Answers Appendix B. Tables and Selected Formulas Appendix C. Credits
£58.56
Pearson Education (US) Business Statistics
Book SynopsisTable of ContentsBrief Contents First Things First Defining and Collecting Data Organizing and Visualizing Variables Numerical Descriptive Measures Basic Probability Discrete Probability Distributions The Normal Distribution Sampling Distributions Confidence Interval Estimation Fundamentals of Hypothesis Testing: One-Sample Tests Two-Sample Tests Analysis of Variance Chi-Square and Nonparametric Tests Simple Linear Regression Introduction to Multiple Regression Multiple Regression Model Building Time-Series Forecasting Business Analytics Getting Ready to Analyze Data in the Future Statistical Applications in Quality Management (online) Decision Making (online) Self-Test Solutions and Answers to Selected Even-Numbered Problems
£232.09
Pearson Education (US) Study Guide and Solutions Manual for Business
Book SynopsisTable of ContentsBrief Contents First Things First Defining and Collecting Data Organizing and Visualizing Variables Numerical Descriptive Measures Basic Probability Discrete Probability Distributions The Normal Distribution Sampling Distributions Confidence Interval Estimation Fundamentals of Hypothesis Testing: One-Sample Tests Two-Sample Tests Analysis of Variance Chi-Square and Nonparametric Tests Simple Linear Regression Introduction to Multiple Regression Multiple Regression Model Building Time-Series Forecasting Business Analytics Getting Ready to Analyze Data in the Future Statistical Applications in Quality Management (online) Decision Making (online) Self-Test Solutions and Answers to Selected Even-Numbered Problems
£59.06
Pearson Business Statistics A First Course LooseLeaf
Book Synopsis
£209.99
Pearson Education (US) Even You Can Learn Statistics and Analytics
Book SynopsisDavid M. Levine and David F. Stephan are part of a writing team known for their series of business statistics textbooks that include Basic Business Statistics, Business Statistics: A First Course, and Statistics for Managers Using Microsoft Excel. In long teaching careers at Baruch College, both were known for their classroom innovations, with Levine being honored with a Presidential Excellence Award for Distinguished Teaching Award and Stephan granted the privilege to design and develop the College's first computer-based classroom. Both are active members of the Data, Analytics and Statistics Instruction SIG of the Decision Sciences Institute. Levine is Professor Emeritus of Information Systems at Baruch College. He is nationally recognized innovator in business statistics education and is also the coauthor of Applied Statistics for Engineers and Scientists Using Microsoft Excel and Minitab. Levine is also the authorTable of ContentsIntroduction The Even You Can Learn Statistics and Analytics Owner's Manual. xiii Chapter 1 Fundamentals of Statistics. 1 1.1 The First Three Words of Statistics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2 The Fourth and Fifth Words. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.3 The Branches of Statistics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.4 Sources of Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.5 Sampling Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.6 Sample Selection Methods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Chapter 2 Presenting Data in Tables and Charts . 15 2.1 Presenting Categorical Variables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.2 Presenting Numerical Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 2.3 “Bad” Charts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 Chapter 3 Descriptive Statistics. 45 3.1 Measures of Central Tendency. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 3.2 Measures of Position. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 3.3 Measures of Variation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 3.4 Shape of Distributions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 Chapter 4 Probability. 75 4.1 Events. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75 4.2 More Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76 4.3 Some Rules of Probability. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78 4.4 Assigning Probabilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 Chapter 5 Probability Distributions. 87 5.1 Probability Distributions for Discrete Variables. . . . . . . . . . . . . . . . . . . . . . . . 87 5.2 The Binomial and Poisson Probability Distributions. . . . . . . . . . . . . . . . . . . . 93 5.3 Continuous Probability Distributions and the Normal Distribution . . . . . . . 100 5.4 The Normal Probability Plot. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 Chapter 6 Sampling Distributions and Confidence Intervals. 121 6.1 Foundational Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122 6.2 Sampling Error and Confidence Intervals. . . . . . . . . . . . . . . . . . . . . . . . . . . 125 6.3 Confidence Interval Estimate for the Mean Using the t Distribution (? Unknown). . . 128 6.4 Confidence Interval Estimation for Categorical Variables . . . . . . . . . . . . . . . 131 6.5 Confidence Interval Estimation When Normality Cannot Be Assumed. . . . . 134 Chapter 7 Fundamentals of Hypothesis Testing. 145 7.1 The Null and Alternative Hypotheses. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145 7.2 Hypothesis Testing Issues. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 7.3 Decision-Making Risks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149 7.4 Performing Hypothesis Testing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150 7.5 Types of Hypothesis Tests. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152 Chapter 8 Hypothesis Testing: Z and t Tests. 157 8.1 Test for the Difference Between Two Proportions . . . . . . . . . . . . . . . . . . . . . 157 8.2 Test for the Difference Between the Means of Two Independent Groups . . . . 163 8.3 The Paired t Test. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168 Chapter 9 Hypothesis Testing: Chi-Square Tests and the One-Way Analysis of Variance (ANOVA). 183 9.1 Chi-Square Test for Two-Way Tables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183 9.2 One-Way Analysis of Variance (ANOVA): Testing for the Differences Among the Means of More Than Two Groups. . . . . . . . . . . . . . . 191 Chapter 10 Simple Linear Regression. 211 10.1 Basics of Regression Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211 10.2 Developing a Simple Linear Regression Model. . . . . . . . . . . . . . . . . . . . . . 214 10.3 Measures of Variation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221 10.4 Inferences About the Slope. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226 10.5 Common Mistakes When Using Regression Analysis . . . . . . . . . . . . . . . . . 229 Chapter 11 Multiple Regression. 243 11.1 The Multiple Regression Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243 11.2 Coefficient of Multiple Determination . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246 11.3 The Overall F Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246 11.4 Residual Analysis for the Multiple Regression Model . . . . . . . . . . . . . . . . . 247 11.5 Inferences Concerning the Population Regression Coefficients. . . . . . . . . . 248 Chapter 12 Introduction to Analytics. 259 12.1 Basic Concepts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259 12.2 Descriptive Analytics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265 12.3 Typical Descriptive Analytics Visualizations. . . . . . . . . . . . . . . . . . . . . . . . 269 Chapter 13 Predictive Analytics. 279 13.1 Predictive Analytics Methods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279 13.2 More About Predictive Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281 13.3 Tree Induction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284 13.4 Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287 13.5 Association Analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290 Appendix A Microsoft Excel Operation and Configuration . 299 Appendix B Review of Arithmetic and Algebra. 301 Appendix C Statistical Tables. 311 Appendix D Spreadsheet Tips . 339 Appendix E Advanced Techniques. 343 Appendix F Documentation for Downloadable Files. 353 9780137654765, TOC, 4/25/2022
£23.39
Penguin Random House South Africa Penguin CNBCTV 18 Business yearbook 2010
Book Synopsis
£5.70
Oxford University Press Inc Competitive Agents in Certain and Uncertain
Book SynopsisFor all its elaborate theories and models, economics always reduces to comparisons. Should we build A rather than B? Will I be better off if I eat D rather than C? How much will it cost me to produce F instead of E? At root, the ultimate goal of economics is simple: assessing the alternatives and finding the best possible outcome. This basic mathematical concept underlies all introductions to the field of economics, yet as advanced students progress through the discipline, they often lose track of this foundational idea when presented with real-world complications and uncertainty. In Competitive Agents in Certain and Uncertain Markets, Robert G. Chambers develops an integrated analytic framework for treating consumer, producer, and market equilibrium analyses as special cases of a generic optimization problem. He builds on lessons learned by all beginning students of economics to show how basic concepts can still be applied even in complex and highly uncertain conditions. Drawing from optimization theory, Chambers demonstrates how the same unified mathematical framework applies to both stochastic and non-stochastic decision settings. The book borrows from both convex and variational analysis and gives special emphasis to differentiability, conjugacy theory, and Fenchel''s Duality Theorem. Throughout, Chambers includes practical examples, problems, and exercises to make abstract material accessible. Bringing together essential theoretical tools for understanding decision-making under uncertainty, Competitive Agents in Certain and Uncertain Markets provides a unified framework for analyzing a broad range of microeconomic decisions. This book will be an invaluable resource for advanced graduate students and scholars of microeconomic theory.Table of ContentsPreface Chapter 1: What's Covered Chapter 2: Differentials and Convex Analysis Chapter 3: Orders and Their Representations Chapter 4: Squiggly Economics Chapter 5: The Consumer Problem Chapter 6: The (Nonstochastic) Producer Problem Chapter 7: Equilibrium, Efficiency, and Welfare Chapter 8: Preferences and Production under Uncertainty Chapter 9: Decision making and Equilibrium under Uncertainty Chapter 10: Quality, Valuation, and Welfare Bibliography Index.
£95.66
Oxford University Press Inc Applied Economic Forecasting using Time Series
Book SynopsisEconomic forecasting is a key ingredient of decision making both in the public and in the private sector. Because economic outcomes are the result of a vast, complex, dynamic and stochastic system, forecasting is very difficult and forecast errors are unavoidable.Because forecast precision and reliability can be enhanced by the use of proper econometric models and methods, this innovative book provides an overview of both theory and applications. Undergraduate and graduate students learning basic and advanced forecasting techniques will be able to build from strong foundations, and researchers in public and private institutions will have access to the most recent tools and insights. Readers will gain from the frequent examples that enhance understanding of how to apply techniques, first by using stylized settings and then by real data applications--focusing on macroeconomic and financial topics. This is first and foremost a book aimed at applying time series methods to solve real-world forecasting problems. Applied Economic Forecasting using Time Series Methods starts with a brief review of basic regression analysis with a focus on specific regression topics relevant for forecasting, such as model specification errors, dynamic models and their predictive properties as well as forecast evaluation and combination. Several chapters cover univariate time series models, vector autoregressive models, cointegration and error correction models, and Bayesian methods for estimating vector autoregressive models. A collection of special topics chapters study Threshold and Smooth Transition Autoregressive (TAR and STAR) models, Markov switching regime models, state space models and the Kalman filter, mixed frequency data models, nowcasting, forecasting using large datasets and, finally, volatility models. There are plenty of practical applications in the book and both EViews and R code are available online.Trade Review"This book, by two masters of applied time-series forecasting, is modern, well-balanced, and insightful. And special chapters on things like forecasting in Big Data and/or mixed-frequency data environments enhance its appeal, as does the full set of EViews and R code supplied. Applied Economic Forecasting using Time Series Methods will be an invaluable resource for students and practitioners alike." - Francis X. Diebold, Paul F. and Warren S. Miller Professor of Economics; Professor of Finance and Statistics, University of Pennsylvania "This book is highly welcome as it shows how forecasting is done in practice. For instance, how to use bridge models for now-casting GDP and a (B)VAR model to project it over the next few quarters. Eric Ghysels and Massimiliano Marcellino adopt a pragmatic approach to introduce the time-series models most widely used in forecasting." - Marco Buti, Director-General for Economic and Financial Affairs at the European Commission "Forecasting economic activity and inflation is at the core of monetary policy analysis in central banks. This book combines a very clear exposition of both basic and advanced time series models for forecasting with plenty of practical examples ready for use by practitioners. It's an excellent introduction to the world of forecasting." - Frank Smets, Director General Economics, European Central Bank "This excellent book offers a hands-on introduction to students and researchers with an interest in economic forecasting. It offers in-depth treatments of topics not covered by most textbooks, notably forecasting with mixed-frequency data and nonlinear models, and is full of useful empirical examples. The book is a pleasure to read and highly recommended for anyone with an interest in understanding the nuts and bolts of economic forecasting." - Allan Timmermann, Atkinson/Epstein Endowed Chair Professor of Finance, Rady School of Management, Professor of Finance and Economics, University of California, San DiegoTable of ContentsPreface PART I: Forecasting with the Linear Regression Model Chapter 1 -The Baseline Linear Regression Model Chapter 2 - Model Mis-Specification Chapter 3 - The Dynamic Linear Regression Model Chapter 4 - Forecast Evaluation and Combination PART II: Forecasting with Time Series Models Chapter 5 - Univariate Time Series Models Chapter 6 - VAR Models Chapter 7 - Error Correction Models Chapter 8 - Bayesian VAR Models PART III: TAR, Markov Switching and State Space Models Chapter 9 - TAR and STAR Models Chapter 10 - Markov Switching Models Chapter 11 - State Space Models and the Kalman Filter PART IV: Mixed Frequency, Large Datasets and Volatility Chapter 12 - Models for Mixed Frequency Data Chapter 13 - Models for Large Datasets Chapter 14 - Forecasting Volatility
£102.12
Oxford University Press Inc Ranking
Book SynopsisTrade Review"An informative and amusing book. The author collected a treasury of stories and reflections connected with comparison, rating and ranking from the widest possible area of sports, arts, sciences, politics, media and shopping, just to mention a few. The book's main concern is not how to rank, but rather how and in what extent ranking can be avoided." * Scientometrics *"Péter Érdi's book was not a risk-free venture. It deserves a lot of success, since it has a large literary immersion, but does not hide the opinions of others." * Magyar Tudomány *"Rankings are essential in our lives-they determine the education we receive, the jobs we qualify for, the books we read, and the music we listen to. In Ranking, Péter Érdi's vivid prose brings us the science of rankings. Using examples from politics to culture, he shows how these patterns determine who wins and who loses the ranking game." * Albert-László Barabási, Professor of Network Science, Northeastern University and Harvard Medical School; author of The Formula: The Universal Laws of Success *"Most parents know their children are above average-sure proof of the subjectivity of ratings. With a light touch, combining personal experience, findings from biology and sociology and more, and with witty asides, Péter Érdi explains why Top 10 Lists fascinate us, and how to temper subjectivity with hard data when ratings and rankings truly matter." * Michael Arbib, author and Editor of more than forty books, from his pioneering Brains, Machines, and Mathematics to How the Brain Got Language: The Mirror System Hypothesis *"As my grandmother used to say, if your actions are based on comparisons with others, you'll never enjoy life. But as Ranking shows -- with lucid examples from practically every sphere of human endeavor -- we humans can't help but compare ourselves to others. So who's the best at revealing the principles and mechanisms that underpin the ubiquitous tendency to compare? The pantomathic Péter Érdi, that's who! Érdi's book, written with insight and humor, is a delightful read. I learned a lot from it, as will any individual or organization interested in this enduring aspect of the human condition-in comparing better and choosing wisely." * J. A. Scott Kelso, Glenwood and Martha Creech Eminent Scholar in Science, Florida Atlantic University; Professor Emeritus of Computational Neuroscience, Ulster University *"Drawing upon a remarkable range of disciplines, field studies, and historical insights, Érdi expertly reveals the hidden social and cognitive dynamics that inform our never-ending hunger to assign metrics to social life. With great nuance and a keen eye for detail, Érdi takes us through how supposedly straightforward processes of measurement, comparison, prioritization, and reputation management are fraught with bias and complex hidden social values. Ranking is an analytical tour-de-force and a joy to read, going straight to the top of my list of indispensable works on social hierarchy." * Alexander Cooley, Director, Harriman Institute, Columbia University *Table of Contents1 Prologue: My Early Encounters with Ranking 2 Comparison, ranking, rating, and lists 3 Social ranking in animal and human societies 4 Choices, Games, Laws, and the Web 5 The Ignorant and the Manipulative 6 Ranking games 7 The Struggle for Reputation 8 Inspired by Your Wish List: How (Not To) Buy a New Lawnmower 9 Epilogue: Rules of the Ranking Game-Where Are We Now? Notes
£42.57
OUP India North India Human Development Report
Book SynopsisThis report is a sequel to previous regional human development reports and focuses on Northern India states - Haryana, Himachal Pradesh, Punjab, and erstwhile Uttar Pradesh. It presents economic and social data, human development indicators, state profiles, and qualitative surveys for select villages.
£14.24
Oxford University Press Dynamic Econometrics Advanced Texts in Econometrics
Book SynopsisThis book confronts the practical problems of modelling aggregate time series data, in a systematic and intergrated framework.The main problem in econometric modelling of time series is discovering sustainable and interpretable relationships between observed economic variables. The primary aim of this book is to develop an operational econometric approach which allows constructive modelling. Professor Hendry deals with methodological issues (model discovery, data mining, and progressive research strategies); with major tools for modelling (recursive methods, encompassing, super exogeneity, invariance tests); and with practical problems (collinearity, heteroscedasticity, and measurement errors). He also includes an extensive study of US money demand.The book is self-contained, with the technical background covered in appendices. It is thus suitable for first year graduate students, and includes solved examples and exercises to facilitate its use in teaching.Trade ReviewThis is a book of really breathtaking scope and vision ... It belongs on every econometrician's bookshelf, whether you buy hendry's vision in its entirety or not. * C. R Nelson, Econometric Reviews *
£105.00
Oxford University Press Macroeconomics at the Service of Public Policy
Book SynopsisThis volume uses state of the art models from the frontier of macroeconomics to answer key questions about how the economy functions and how policy should be conducted. The contributions cover a wide range of issues in macroeconomics and macroeconomic policy. They combine high level mathematics with economic analysis, and highlight the need to update our mathematical toolbox in order to understand the increased complexity of the macroeconomic environment. The volume represents hard evidence of high research intensity in many fields of macroeconomics, and warns against interpreting the scope of macroeconomics too narrowly. The mainstream business cycle analysis, based on dynamic stochastic general equilibrium (DSGE) modelling of a particular type, has been criticised for its inability to predict or resolve the recent financial crisis. However, macroeconomic research on financial, information, and learning imperfections had not yet made their way into many of the pre-crisis DSGE models bTable of ContentsPART 1: FINANCIAL CRISIS AND RECOVERY ; PART 2: LEARNING, INCENTIVES, AND PUBLIC POLICY
£32.49
Oxford University Press LikelihoodBased Inference in Cointegrated Vector Autoregressive Models
Book SynopsisThis book gives a detailed mathematical and statistical analysis of the cointegrated vector autoregresive model. This model had gained popularity because it can at the same time capture the short-run dynamic properties as well as the long-run equilibrium behaviour of many non-stationary time series. It also allows relevant economic questions to be formulated in a consistent statistical framework.Part I of the book is planned so that it can be used by those who want to apply the methods without going into too much detail about the probability theory. The main emphasis is on the derivation of estimators and test statistics through a consistent use of the Guassian likelihood function. It is shown that many different models can be formulated within the framework of the autoregressive model and the interpretation of these models is discussed in detail. In particular, models involving restrictions on the cointegration vectors and the adjustment coefficients are discussed, as well as the role
£66.50
Oxford University Press Applied Macroeconometrics
Book SynopsisThis text provides graduate students of macroeconomics, econometrics, and monetary economics with discussion and practical illustrations of the techniques used in applied macroeconometrics. Until the 1970s, there was consensus regarding both the theoretical foundations and the empirical specification of applied macroeconometric modelling, commonly known as the Cowles Commission approach. This is no longer the case: the Cowles Commission approach broke down in the 1970s, to be replaced by a number of prominent competing methods--the LSE (London School of Economics) approach, the VAR approach, and the intertemporal optimization/Real Business Cycle approach. Applied Macroeconometrics examines the empirical research strategy of these alternatives by interpreting them as attempts to solve the problems observed in the Cowles Commission approach. The different research strategies are illustrated with specific reference to real-world examples, particularly with respect to the monetary transmisTrade ReviewThis book provides an extremely useful and accessible description of a wide range of techniques and approaches currently used in applied macroeconometrics * Journal of Applied Econometrics, Vol.16, No.5 *
£142.50
Oxford University Press Maths for Economics
Book SynopsisMaths for Economics provides a comprehensive and solid foundation in core mathematical principles and methods used in economics, beginning with revisiting basic skills in arithmetic, algebra, equation solving, and slowly building to more advanced topics. Suitable for those with a range of prior school-level expereince or more generally for those who feel they need to go back to the very basics, students can learn with confidence. Drawing on his extensive experience of teaching in the area, the author appreciates that maths can be a daunting topic for many. As such the text is fully supports the reader by using a combination of engaging learning features including summary sections, examples to show how theory is used in practice and progress exercises, which encourage independent study. Each chapter ends with a conclusion check list to allow students to reflect on topics as they master them.Digital formats and resourcesThe fifth edition is available for students and institutions to purchase in a variety of formats, and is supported by online resources. The e-book offers a mobile experience and convenient access along with functionality tools, navigation features, and links that offer extra learning support: www.oxfordtextbooks.co.uk/ebooks Online resources supporting the book include,For Students: - Ask the author forum - Excel tutorial - Maple tutorial - Further exercises - Answers to further questions - Expanded solutions to progress exercises For Lecturers: - Test exercises - Graphs from the book - Answers to test exercisesTable of ContentsPart One: Foundations 1: Arithmetic 2: Algebra 3: Linear equations 4: Quadratic equations 5: Some further equations and techniques Part Two: Optimization With One Independent Variable 6: Derivatives and differentiation 7: Derivatives in action 8: Economic applications of functions and derivatives 9: Elasticity Part Three: Mathematics Of Finance And Growth 10: Compound growth and present discounted value 11: The exponential function and logarithms 12: Continuous growth and the natural exponential function 13: Derivatives of exponential and logarithmic functions and their applications Part Four: Optimization With Two Or More Independent Variables 14: Functions of two or more independent variables 15: Maximum and minimum values, the total differential, and applications 16: Constrained maximum and minimum values 17: Returns to scale and homogenous functions; partial elasticities; growth accounting; logarithmic scales Part Five: Some Further Topics 18: Integration 19: Matrix algebra 20: Difference and differential equations 21: W21:Extensions and future directions
£55.09
Oxford University Press Asymptotics for Fractional Processes
Book SynopsisAsymptotics for Fractional Processes develops an approach to the large-sample analysis of fractional partial-sum processes, featuring long memory increments.
£79.80
Oxford University Press The Methodology and Practice of Econometrics
Book SynopsisDavid F. Hendry is a seminal figure in modern econometrics. He has pioneered the LSE approach to econometrics, and his influence is wide ranging. This book is a collection of papers dedicated to him and his work. Many internationally renowned econometricians who have collaborated with Hendry or have been influenced by his research have contributed to this volume, which provides a reflection on the recent advances in econometrics and considers the future progress for the methodology of econometrics. Central themes of the book include dynamic modelling and the properties of time series data, model selection and model evaluation, forecasting, policy analysis, exogeneity and causality, and encompassing. The book strikes a balance between econometric theory and empirical work, and demonstrates the influence that Hendry''s research has had on the direction of modern econometrics.Contributors include: Karim Abadir, Anindya Banerjee, Gunnar Bårdsen, Andreas Beyer, Mike Clements, James DavidsonTable of Contents1. An analysis of the indicator saturation estimator as a robust regression estimator ; 2. Empirical Identification of the Vector Autoregression: The Causes and Effects of U.S. M2 ; 3. Retrospective Estimation of Causal Effects Through Time ; 4. Autometrics ; 5. High Dimenson Dynamic Correlations ; 6. Pitfalls in Modeling Dependence Structures: Explorations with Copulas ; 7. Forecasting in Dynamic Factor Models Subject to Structural Instability ; 8. Internal consistency of survey respondents forecasts: Evidence based on the Survey of Professional Forecasters ; 9. Factor-augmented Error Correction Models ; 10. In Praise Of Pragmatic In Econometrics ; 11. On Efficient Simulations In Dynamic Models ; 12. Simple Wald Tests of the Fractional Integration Parameter: An Overview of New Results ; 13. When is a Time Series I(0)? ; 14. Model Identification and Non-unique Structure ; 15. Does it matter how to measure aggregates? The case of monetary transmission mechanisms in the Euro area ; 16. U.S. natural rate dynamics reconsidered ; 17. Constructive Data Mining: Modeling Argentine Broad Money Demand
£137.50
Oxford University Press Econometric Methods with Applications in Business
Book SynopsisProviding an understanding and experience of econometrics, this book covers basic econometric methods and addresses the creative process of model building. Using examples and exercises, it focuses on regression and covers choice data and time series data. It is aimed at undergraduate students, new graduate students, and applied researchers.Trade Review'. . . students will find the contents of this book to be a very helpful guide . . . Because of its wide coverage and careful presentation the book should be useful for a diverse group of students in many countries and interested in a variety of areas of applications.' * C. W. J. Granger, Nobel Laureate *'Most econometric texts can be described as either primarily theoretical or primarily applied. This is the first text I've seen that does a really nice job of bridging the gap between the two in a single unified whole. . . . I can strongly recommend this book to anyone desiring a firm understanding of both where econometric methods come from and how they are used in practice.' * James D. Hamilton, University of California, San Diego *'. . . superbly presented, the coverage is thorough, the technical rigour is sensibly balanced, and the empirical examples demonstrate the techniques effectively. The exercises are stimulating, the answers are insightful, and the exposition in the background material is excellent. It will appeal very strongly to researchers, instructors and students' * Michael McAleer, University of Western Australia *'. . . a thorough introduction to the basic principles of econometrics . . . The strong link between theory and applications provides great motivation for studying econometrics.' * Helmut Lütkepohl, European University Institute, Florence *'. . . meticulously crafted to give an almost seamless transition between learning and doing econometrics . . . There is something here for all students of econometrics.' * Michael P. Clements, Warwick University *Table of Contents1 REVIEW OF STATISTICS; 2 SIMPLE REGRESSION; 3 MULTIPLE REGRESSION; 4 NON-LINEAR METHODS; 5 DIAGNOSTIC TESTS AND MODEL ADJUSTMENTS; 6 QUALITATIVE AND LIMITED DEPENDENT VARIABLES; 7 TIME SERIES AND DYNAMIC MODELS; APPENDIX A: MATRIX METHODS; APPENDIX B: DATA SETS; INDEX
£99.75
Oxford University Press Inc The Collected Papers of Leonid Hurwicz Volume 1
Book Synopsis
£91.69
Oxford University Press Financial and Macroeconomic Connectedness
Book SynopsisConnections among different assets, asset classes, portfolios, and the stocks of individual institutions are critical in examining financial markets. Interest in financial markets implies interest in underlying macroeconomic fundamentals. In Financial and Macroeconomic Connectedness, Frank Diebold and Kamil Yilmaz propose a simple framework for defining, measuring, and monitoring connectedness, which is central to finance and macroeconomics. These measures of connectedness are theoretically rigorous yet empirically relevant. The approach to connectedness proposed by the authors is intimately related to the familiar econometric notion of variance decomposition. The full set of variance decompositions from vector auto-regressions produces the core of the ''connectedness table.'' The connectedness table makes clear how one can begin with the most disaggregated pair-wise directional connectedness measures and aggregate them in various ways to obtain total connectedness measures. The authorTrade ReviewDiebold and Yilmaz's timely book develops powerful new network tools for understanding the inter-dependence of risks in large-scale financial systems. These tools shed important new light on past financial crises and will fill an important gap in the monitoring of systemic risk going forward. * Peter Christoffersen, Professor of Finance, Rotman School of Management, University of Toronto. *The aftermath of the Lehman bankruptcy revealed that economists lacked understanding of the linkages within the financial industry and across the different sectors of the economy. The book by Frank Diebold and Kamil Yilmaz has many fresh ideas and new tools to study this very important topic. It is a must-read for anybody interested in this burgeoning area of research. * Eric Ghysels, Bernstein Distinguished Professor of Economics and Professor of Finance, University of North Carolina, Chapel Hill *We live in a highly integrated world economy with much stronger cross-border connections today than any other time in history. We need to have a better grasp of these connections as they are now at the heart of everyday macroeconomics and finance. Diebold and Yilmaz provide a masterful framework that greatly enhances our understanding of these connections. They also open new research avenues by showing practical applications of their framework in different contexts. And all of these make their book a classical reference on the topic. * Ayhan Kose, Director, Development Prospects Group, The World Bank *Table of ContentsChapter 1: Measuring and Monitoring Connectedness ; Chapter 2: U.S. Asset Classes ; Chapter 3: Major U.S. Financial Institutions ; Chapter 4: Global Stock Markets ; Chapter 5: Sovereign Bond Markets ; Chapter 6: Foreign Exchange Markets ; Chapter 7: Assets Across Countries ; Chapter 8: Global Business Cycles
£46.80
OUP Oxford The Oxford Handbook of Bayesian Econometrics
Book SynopsisBayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as Trade ReviewThis Handbook is an excellent piece of scholarly work that displays the full power of the Bayesian method. * Gael Martin *Table of ContentsPART I: PRINCIPLES ; PART II: METHODS ; PART III: APPLICATIONS
£128.25
Oxford University Press, USA Econometric Methods for Labour Economics
Book SynopsisThis book provides an accessible presentation of the standard statistical techniques used by labour economists. It emphasises both the input and the output of empirical analysis and covers five major topics concerning econometric methods used in labour economics: regression and related methods, choice modelling, selectivity issues, duration analysis, and policy evaluation techniques. Each of these is presented in terms of model specification, possible estimation problems, diagnostic checking, and interpretation of the output. It aims to provide guidance to practitioners on how to use the techniques and how to make sense of the results that are produced. It covers methods that are considered to be ''standard'' tools in labour economics, but which are often given only a brief and highly technical treatment in econometrics textbooks. It will be a useful reference for postgraduates and advanced undergraduates, researchers embarking on empirical labour market analysis, and for more experienTable of ContentsIntroduction ; 1. The Use of Linear Regression in Labour Economics ; 2. Further Regression Issues in Labour Economics ; 3. Dummy and Ordinal Dependent Variables ; 4. Selectivity ; 5. Duration Models ; 6. Evaluation of Policy Measures ; Conclusion
£65.70
Oxford University Press Time Series Analysis by State Space Methods
Book SynopsisThis new edition updates Durbin & Koopman''s important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and disturbance terms, each of which is modelled separately. The techniques that emerge from this approach are very flexible and are capable of handling a much wider range of problems than the main analytical system currently in use for time series analysis, the Box-Jenkins ARIMA system. Additions to this second edition include the filtering of nonlinear and non-Gaussian series.Part I of the book obtains the mean and variance of the state, of a variable intended to measure the effect of an interaction and of regression coefficients, in terms of the observations.Part II extends the treatment to nonlinear and non-normal models. For these, analytical solutions are not available so methods are based on simulation.Trade ReviewReview from previous edition ...provides an up-to-date exposition and comprehensive treatment of state space models in time series analysis...This book will be helpful to graduate students and applied statisticians working in the area of econometric modelling as well as researchers in the areas of engineering, medicine and biology where state space models are used. * Journal of the Royal Statistical Society *Table of ContentsPART I: THE LINEAR STATE SPACE MODEL; PART II: NON-GAUSSIAN AND NONLINEAR STATE SPACE MODELS
£109.25
Oxford University Press Econophysics and Physical Economics
Book SynopsisAn understanding of the behaviour of financial assets and the evolution of economies has never been as important as today. This book looks at these complex systems from the perspective of the physicist. So called ''econophysics'' and its application to finance has made great strides in recent years. Less emphasis has been placed on the broader subject of macroeconomics and many economics students are still taught traditional neo-classical economics. The reader is given a general primer in statistical physics, probability theory, and use of correlation functions. Much of the mathematics that is developed is frequently no longer included in undergraduate physics courses. The statistical physics of Boltzmann and Gibbs is one of the oldest disciplines within physics and it can be argued that it was first applied to ensembles of molecules as opposed to being applied to social agents only by way of historical accident. The authors argue by analogy that the theory can be applied directly to eTrade ReviewWe argue that similarlaws apply to assemblies of interacting economic agents for which repeatable experiments are also not always possible. The theory leads naturally to an understanding of a range of financial and economic phenomena. One central issue, namely that of non-equilibrium, is also discussed by drawing on recent ideas developed to explore the phenomenon in physical systems, which leads to new insights into the distribution functions of the interacting agents. It is our view that this approach, which combines both theory and empiricism, offers scope for further development and application. * John D. Williams, MathSciNet *Table of Contents1. Introduction ; 2. Reading financial data ; 3. Basics of probability ; 4. Time dependent processes and the Chapman-Kolmogorov equation ; 5. The Langevin approach to modelling Brownian motion ; 6. The Brownian motion model of asset prices ; 7. Generalized diffusion processes and the Fokker-Planck equation ; 8. Derivatives and options ; 9. Asset fluctuations and scaling ; 10. Models of asset fluctuations ; 11. Risk ; 12. Why markets crash ; 13. Two non-financial markets ; 14. An introduction to physical economics ; 15. Laws of physical economics ; 16. Markets ; 17. A simple model of trade ; 18. Production and economic growth ; 19. Economics and entropy ; 20. Approaches to non-equilibrium economics ; 21. The distribution of wealth in society ; 22. Conclusions and outlook
£76.95
Oxford University Press Introduction to Econometrics
Book SynopsisIntroduction to Econometrics provides students with clear and simple mathematics notation and step-by-step explanations of mathematical proofs, to give them a thorough understanding of the subject. Extensive exercises throughout build confidence by encouraging students to apply econometric techniques. Retaining its student-friendly approach, Introduction to Econometrics has a comprehensive revision guide to all the essential statistical concepts needed to study econometrics, additional Monte Carlo simulations, new summaries, and non-technical introductions to more advanced topics at the end of chapters.This book is supported by online resources, which include:For lecturers: Instructor''s manual for the text and data sets, detailing the exercises and their solutions. Customizable PowerPoint slides.For students: Data sets referred to in the book. A comprehensive study guide offers students the opportunity to gain experience with econometrics through practice with exercises. Software manual. PowerPoint slides with explanations.Trade ReviewReview from previous edition What sets this book apart is abundance of available online material... * Sunčica Vujić, University of Antwerp *This is an excellent text for introductory econometrics courses and this edition is even better, especially with the increase in figures and charts. * Dr Bruce Morley, University of Bath *Students of finance need to be comfortable with the econometric tools necessary to both grasp empirical work and undertake it. This text provides an excellent point of reference and constant companion in developing precisely that understanding. * Paul Stewart, University of Ulster *Excellent textbook, which I have adopted as required reading for my class. The explanations are very clear, and yet it is very concise and does not overwhelm students. * Thomas Chadefaux, Trinity College Dublin *Table of ContentsINTRODUCTION; REVIEW: RANDOM VARIABLES, SAMPLING, ESTIMATION AND INFERENCE
£68.39
OUP Oxford Oxford Handbook of Bayesian Econometrics
Book SynopsisBayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as Trade ReviewThis Handbook is an excellent piece of scholarly work that displays the full power of the Bayesian method. All chapters, whilst reasonably self-contained, also serve as springboards to the broader literature, with extensive referencing being a feature of all. Access to specialized computer code is provided in some cases, serving to aid in the wider dissemination and use of the paradigm. * Gael Martin, The Econometrics Journal *Table of ContentsPART I: PRINCIPLES ; PART II: METHODS ; PART III: APPLICATIONS
£36.09
University of Chicago Press The Economics of PropertyCasualty Insurance
Book SynopsisA study of key aspects of the economics of the property-casualty insurance industry. The volume explores areas such as external financing and insurance cycles, performance of stock and mutual insurance companies, rate regulation and the system of regulating insurance companies in the USA.Table of ContentsAcknowledgments Introduction by David F. Bradford 1: External Financing and Insurance Cycles Anne Gron, Deborah Lucas. 2: The Effects of Tax Law Changes on Property-Casualty Insurance Prices David F. Bradford, Kyle D. Logue. 3: The Causes and Consequences of Rate Regulation in the Auto Insurance Industry Dwight M. Jaffee, Thomas Russell. 4: Rate Regulation and the Industrial Organization of Automobile Insurance Susan J. Suponcic, Sharon Tennyson. 5: The Costs of Insurance Company Failures James G. Bohn, Brian J. Hall. 6: Organizational Form and Insurance Company Performance: Stocks versus Mutuals Patricia Born, William M. Gentry, W. Kip Viscusi [et al.]. Contributors Author Index Subject Index
£52.00
The University of Chicago Press Everything for Sale The Virtues and Limits of
Book SynopsisThis text disputes the laissez-faire direction of both economic theory and practice that has gained prominence since the mid-1970s. Dissenting voices, the author argues, have been drowned out by a sea of circular arguments and complex mathematical models that ignore real-world conditions.
£18.00
The University of Chicago Press Nber Macroeconomics Annual 2017
Book SynopsisVolume 32 of the NBER Macroeconomics Annual features six theoretical and empirical studies of important issues in contemporary macroeconomics, and a keynote address by former IMF chief economist Olivier Blanchard. In one study, SeHyoun Ahn, Greg Kaplan, Benjamin Moll, Thomas Winberry, and Christian Wolf examine the dynamics of consumption expenditures in non-representative-agent macroeconomic models. In another, John Cochrane asks which macro models most naturally explain the post-financial-crisis macroeconomic environment, which is characterized by the co-existence of low and nonvolatile inflation rates, near-zero short-term interest rates, and an explosion in monetary aggregates. Manuel Adelino, Antoinette Schoar, and Felipe Severino examine the causes of the lending boom that precipitated the recent U.S. financial crisis and Great Recession. Steven Durlauf and Ananth Seshadri investigate whether increases in income inequality cause lower levels of economic mobility and opportunity. Charles Manski explores the formation of expectations, considering the efficacy of directly measuring beliefs through surveys as an alternative to making the assumption of rational expectations. In the final research paper, Efraim Benmelech and Nittai Bergman analyze the sharp declines in debt issuance and the evaporation of market liquidity that coincide with most financial crises. Blanchard's keynote address discusses which distortions are central to understanding short-run macroeconomic fluctuations.
£64.12
University of Chicago Press International Comparisons of Household Saving
Book SynopsisTo aid understanding of why saving rates differ across countries, this volume provides analyses of patterns of household saving behaviour in the G7 nations, except France. Micro data sets within each country and statistics on patterns of saving by age, income and other factors are included.Table of ContentsAcknowledgments Introduction 1 James M. Poterba 1: Household Data on Saving Behavior in Canada 11 John B. Burbidge, James B. Davies. 2: Personal Saving in the United States 57 Orazio P. Attanasio 3: Household Saving Behavior in Japan 125 Noriyuki Takayama, Yukinobu Kitamura. 4: Household Saving Behavior in the United Kingdom 169 James Banks, Richard Blundell. 5: Savings in Germany - Part 2: Behavior 207 Axel Borsch-Supan 6: Personal Saving in Italy 237 Tullio Jappelli, Marco Pagano. Contributors 269 Author Index 271 Subject Index 273
£70.00
The University of Chicago Press Demography and the Economy
Book SynopsisDemographic studies help make sense of key aspects of the economy, offering insight into trends in fertility, mortality, immigration, and labor force participation, as well as age, gender, and race-specific trends in health and disability. This book explores the connections between demography and economics.
£104.50
The University of Chicago Press Big Data for TwentyFirstCentury Economic
Book SynopsisThe papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with administrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Datasuch as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellershas changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. This volume documents progress made toward thTable of ContentsPrefatory NoteIntroduction: Big Data for Twenty- First- Century Economic Statistics: The Future Is Now Katherine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro I. TOWARD COMPREHENSIVE USE OF BIG DATA IN ECONOMIC STATISTICS1. Reengineering Key National Economic Indicators Gabriel Ehrlich, John C. Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro2. Big Data in the US Consumer Price Index: Experiences and Plans Crystal G. Konny, Brendan K. Williams, and David M. Friedman3. Improving Retail Trade Data Products Using Alternative Data Sources Rebecca J. Hutchinson4. From Transaction Data to Economic Statistics: Constructing Real-Time, High-Frequency, Geographic Measures of Consumer Spending Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm5. Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz II. USES OF BIG DATA FOR CLASSIFICATION6. Transforming Naturally Occurring Text Data into Economic Statistics: The Case of Online Job Vacancy Postings Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood7. Automating Response Evaluation for Franchising Questions on the 2017 Economic Census Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer8. Using Public Data to Generate Industrial Classification Codes John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts III. USES OF BIG DATA FOR SECTORAL MEASUREMENT9. Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity Edward L. Glaeser, Hyunjin Kim, and Michael Luca10. Unit Values for Import and Export Price Indexes: A Proof of Concept Don A. Fast and Susan E. Fleck11. Quantifying Productivity Growth in the Delivery of Important Episodes of Care within the Medicare Program Using Insurance Claims and Administrative Data John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood12. Valuing Housing Services in the Era of Big Data: A User Cost Approach Leveraging Zillow Microdata Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland IV. METHODOLOGICAL CHALLENGES AND ADVANCES13. Off to the Races: A Comparison of Machine Learning and Alternative Data for Predicting Economic Indicators Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch14. A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data Rishab Guha and Serena Ng15. Estimating the Benefits of New Products W. Erwin Diewert and Robert C. Feenstra Contributors Author Index Subject Index
£106.40
University of Chicago Press The Measurement of Capital Volume 45 NBER
Book SynopsisHow is real capital measured by government statistical agencies? How could this measure be improved to correspond more closely to an economist's ideal measure of capital in economic analysis and prediction? It is possible to construct a single, reliable time series for allcapital goods, regardless of differences in vintage, technological complexity, and rates of depreciation? These questions represent the common themes of this collection of papers, originally presented at a 1976 meeting of the Conference on Income and Wealth.
£110.00
Palgrave Macmillan Microeconometrics The New Palgrave Economics Collection
Book SynopsisSpecially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within this compendium covers the fundamental themes within the discipline and is written by a leading practitioner in the field. A handy reference tool.Trade ReviewPraise for the 8-volume edition: Winner of the 2008 PROSE Award: Best Mutlivolume Reference Work in the Humanitiesand Social Sciences (from the Professional and Scholarly Division of the Association of American Publishers) CHOICE Outstanding Academic Title 2008 "Much has changed in the latest incarnation of this dictionary. ...More than 1,500 economists contributed almost 1,900 signed entries; more than 1,000 of the entries are new or 'heavily revised' and expanded. Along with the descriptions of economic method from earlier editions, this edition includes much information on 'what those methods have found.' It also offers new emphasis on advances that have occurred in microeconomics, Bayesian theory, game theory, and behavioral, international, and experimental economics. ...A regularly updated online version of the dictionary is available www.dictionaryofeconomics.com, with site license pricing based on institution type and FTE. Summing Up: Highly recommended." - CHOICETable of ContentsContents General Preface Introduction List of Contributors List of Entries Entries A-Z Index
£76.49
Penguin Books Ltd The Art of Statistics
Book Synopsis''A statistical national treasure'' Jeremy Vine, BBC Radio 2''Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force'' Popular ScienceDo busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? David Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial. ''Shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world'' NatureTrade ReviewDavid Spiegelhalter is probably the greatest living statistical communicator; more than that, he's one of the great communicators in any field. This marvellous book will transform your relationship with the numbers that swirl all around us. Read it and learn. -- Tim HarfordThere is something in here for everyone ... A call to arms for greater societal data literacy ... Spiegelhalter's work serves as a reminder that there are passionate, self-aware statisticians who can argue eloquently that their discipline is needed now more than ever. * Financial Times *Shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world . . . The Art of Statistics will serve students well. And it will be a boon for journalists eager to use statistics responsibly - along with anyone who wants to approach research and its reportage with healthy scepticism. * Nature *What David Spiegelhalter does here is provide a very thorough introductory grounding in statistics without making use of mathematical formulae. And it's remarkable. Spiegelhalter is warm and encouraging - it's a genuinely enjoyable read ... This book should be required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force. * Popular Science *The Art of Statistics is in the great educational tradition of its publishing imprint, Pelican Books: an attempt to get everyone up to speed with the practical uses of statistics, without pages of terrifying equations or Greek letters. In a series of spry, airy chapters, he succeeds fabulously ... Lucid and readable. In an age of scientific clickbait, 'big data' and personalised medicine, this is a book that nearly everyone would benefit from reading. * Spectator *Important and comprehensive -- Hannah Fry * New Yorker *This is an excellent book. Spiegelhalter is great at explaining difficult ideas . . . Yes, statistics can be difficult. But much less difficult if you read this book. * Evening Standard *Like the fictional investigator Sherlock Holmes, Spiegelhalter takes readers on a trail to challenge methodology and stats thrown at us by the media and others. But where other authors have attempted this and failed, he is inventive and clever in picking the right examples that spark the reader's interest to become active on their own. * Engineering and Technology *Do you trust headlines telling you . . . that bacon, ham and sausages carry the same cancer risk as cigarettes? No, nor do I. That is why we need a book like this that explains how such implausible nonsense arises in the first place. Written by a master of the subject . . . this book tells us to examine our assumptions. Bravo. * Standpoint *
£10.44
MIT Press Ltd Lectures on Urban Economics
Book Synopsis
£36.10
MIT Press Ltd A Primer in Econometric Theory
Book Synopsis
£51.30
MIT Press Ltd Probability Models for Economic Decisions The MIT
Book SynopsisAn introduction to the use of probability models for analyzing risk and economic decisions, using spreadsheets to represent and simulate uncertainty.This textbook offers an introduction to the use of probability models for analyzing risks and economic decisions. It takes a learn-by-doing approach, teaching the student to use spreadsheets to represent and simulate uncertainty and to analyze the effect of such uncertainty on an economic decision. Students in applied business and economics can more easily grasp difficult analytical methods with Excel spreadsheets. The book covers the basic ideas of probability, how to simulate random variables, and how to compute conditional probabilities via Monte Carlo simulation. The first four chapters use a large collection of probability distributions to simulate a range of problems involving worker efficiency, market entry, oil exploration, repeated investment, and subjective belief elicitation. The book then covers correlation and
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MIT Press Ltd Econometric Analysis of Cross Section and Panel
Book SynopsisThe second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated.The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis.Econometric Analysis of Cross Section and Panel Dat
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MIT Press Ltd In 100 Years Leading Economists Predict the
Book SynopsisIn this book, ten prominent economists—including Nobel laureates and several likely laureates—offer their ideas about what the future might hold in 100 years.This pithy and engaging volume shows that economists may be better equipped to predict the future than science fiction writers. Economists' ideas, based on both theory and practice, reflect their knowledge of the laws of human interactions as well as years of experimentation and reflection. Although perhaps not as screenplay-ready as a work of fiction, these economists' predictions are ready for their close-ups. In this book, ten prominent economists—including Nobel laureates and several likely laureates—offer their ideas about the world of the twenty-second century.In scenarios that range from the optimistic to the guardedly gloomy, these thinkers consider such topics as the transformation of work and wages, the continuing increase in inequality, the economic rise of China and India, the e
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