{"product_id":"analysis-of-economic-data-9781118472538","title":"Analysis of Economic Data","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eAnalysis of Economic Data has, over three editions, become firmly established as a successful textbook for students studying data analysis whose primary interest is not in econometrics, statistics or mathematics.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface to the Fourth Edition xi  \u003cp\u003ePreface to the Third Edition xiii\u003c\/p\u003e \u003cp\u003ePreface to the Second Edition xiv\u003c\/p\u003e \u003cp\u003ePreface to the First Edition xv\u003c\/p\u003e \u003cp\u003eChapter 1 Introduction 1\u003c\/p\u003e \u003cp\u003eOrganization of the Book 3\u003c\/p\u003e \u003cp\u003eUseful Background 4\u003c\/p\u003e \u003cp\u003eAppendix 1.1: Mathematical Concepts Used in this Book 4\u003c\/p\u003e \u003cp\u003eEndnote 7\u003c\/p\u003e \u003cp\u003eReferences 7\u003c\/p\u003e \u003cp\u003eChapter 2 Basic Data Handling 8\u003c\/p\u003e \u003cp\u003eTypes of Economic Data 8\u003c\/p\u003e \u003cp\u003eObtaining Data 13\u003c\/p\u003e \u003cp\u003eWorking with Data: Graphical Methods 15\u003c\/p\u003e \u003cp\u003eWorking with Data: Descriptive Statistics 20\u003c\/p\u003e \u003cp\u003eAppendix 2.1: Index Numbers 23\u003c\/p\u003e \u003cp\u003eAppendix 2.2: Advanced Descriptive Statistics 28\u003c\/p\u003e \u003cp\u003eAppendix 2.3: Expected Values and Variances 30\u003c\/p\u003e \u003cp\u003eEndnotes 32\u003c\/p\u003e \u003cp\u003eChapter 3 Correlation 34\u003c\/p\u003e \u003cp\u003eUnderstanding Correlation 34\u003c\/p\u003e \u003cp\u003eUnderstanding Why Variables Are Correlated 38\u003c\/p\u003e \u003cp\u003eUnderstanding Correlation Through XY-Plots 41\u003c\/p\u003e \u003cp\u003eCorrelation Between Several Variables 45\u003c\/p\u003e \u003cp\u003eAppendix 3.1: Mathematical Details 46\u003c\/p\u003e \u003cp\u003eEndnotes 46\u003c\/p\u003e \u003cp\u003eChapter 4 Introduction to Simple Regression 48\u003c\/p\u003e \u003cp\u003eRegression as a Best Fitting Line 48\u003c\/p\u003e \u003cp\u003eInterpreting OLS Estimates 53\u003c\/p\u003e \u003cp\u003eFitted Values and R2: Measuring the Fit of a Regression Model 56\u003c\/p\u003e \u003cp\u003eNonlinearity in Regression 60\u003c\/p\u003e \u003cp\u003eAppendix 4.1: Mathematical Details 64\u003c\/p\u003e \u003cp\u003eEndnotes 66\u003c\/p\u003e \u003cp\u003eChapter 5 Statistical Aspects of Regression 67\u003c\/p\u003e \u003cp\u003eWhich Factors Affect the Accuracy of the Estimate βˆ ? 68\u003c\/p\u003e \u003cp\u003eCalculating a Confidence Interval for β 72\u003c\/p\u003e \u003cp\u003eTesting whether β = 0 78\u003c\/p\u003e \u003cp\u003eHypothesis Testing Involving R2: The F-Statistic 82\u003c\/p\u003e \u003cp\u003eAppendix 5.1: Using Statistical Tables to Test Whether β = 0 85\u003c\/p\u003e \u003cp\u003eEndnotes 87\u003c\/p\u003e \u003cp\u003eReferences 88\u003c\/p\u003e \u003cp\u003eChapter 6 Multiple Regression 89\u003c\/p\u003e \u003cp\u003eRegression as a Best Fitting Line 91\u003c\/p\u003e \u003cp\u003eOLS Estimation of the Multiple Regression Model 91\u003c\/p\u003e \u003cp\u003eStatistical Aspects of Multiple Regression 91\u003c\/p\u003e \u003cp\u003eInterpreting OLS Estimates 92\u003c\/p\u003e \u003cp\u003ePitfalls of Using Simple Regression in a Multiple Regression Context 95\u003c\/p\u003e \u003cp\u003eOmitted Variables Bias 97\u003c\/p\u003e \u003cp\u003eMulticollinearity 99\u003c\/p\u003e \u003cp\u003eAppendix 6.1: Mathematical Interpretation of Regression Coefficients 105\u003c\/p\u003e \u003cp\u003eEndnotes 105\u003c\/p\u003e \u003cp\u003eChapter 7 Regression with Dummy Variables 107\u003c\/p\u003e \u003cp\u003eSimple Regression with a Dummy Variable 109\u003c\/p\u003e \u003cp\u003eMultiple Regression with Dummy Variables 110\u003c\/p\u003e \u003cp\u003eMultiple Regression with Dummy and Non-dummy Explanatory Variables 113\u003c\/p\u003e \u003cp\u003eInteracting Dummy and Non-dummy Variables 116\u003c\/p\u003e \u003cp\u003eChapter 8 Qualitative Choice Models 119\u003c\/p\u003e \u003cp\u003eThe Economics of Choice 120\u003c\/p\u003e \u003cp\u003eChoice Probabilities and the Logit and Probit Models 121\u003c\/p\u003e \u003cp\u003eAppendix 8.1: Choice Probabilities in the Logit Model 128\u003c\/p\u003e \u003cp\u003eReferences 130\u003c\/p\u003e \u003cp\u003eChapter 9 Regression with Time Lags: Distributed Lag Models 131\u003c\/p\u003e \u003cp\u003eLagged Variables 133\u003c\/p\u003e \u003cp\u003eNotation 135\u003c\/p\u003e \u003cp\u003eSelection of Lag Order 138\u003c\/p\u003e \u003cp\u003eAppendix 9.1: Other Distributed Lag Models 141\u003c\/p\u003e \u003cp\u003eEndnotes 143\u003c\/p\u003e \u003cp\u003eChapter 10 Univariate Time Series Analysis 144\u003c\/p\u003e \u003cp\u003eThe Autocorrelation Function 147\u003c\/p\u003e \u003cp\u003eThe Autoregressive Model for Univariate Time Series 151\u003c\/p\u003e \u003cp\u003eNonstationary versus Stationary Time Series 154\u003c\/p\u003e \u003cp\u003eExtensions of the AR(1) Model 156\u003c\/p\u003e \u003cp\u003eTesting in the AR(p) with Deterministic Trend Model 161\u003c\/p\u003e \u003cp\u003eAppendix 10.1: Mathematical Intuition for the AR(1) Model 166\u003c\/p\u003e \u003cp\u003eEndnotes 167\u003c\/p\u003e \u003cp\u003eReferences 168\u003c\/p\u003e \u003cp\u003eChapter 11 Regression with Time Series Variables 169\u003c\/p\u003e \u003cp\u003eTime Series Regression when X and Y Are Stationary 170\u003c\/p\u003e \u003cp\u003eTime Series Regression when Y and X Have Unit Roots: Spurious Regression 174\u003c\/p\u003e \u003cp\u003eTime Series Regression when Y and X Have Unit Roots: Cointegration 174\u003c\/p\u003e \u003cp\u003eEstimation and Testing with Cointegrated Variables 177\u003c\/p\u003e \u003cp\u003eTime Series Regression when Y and X Are Cointegrated: The Error Correction Model 181\u003c\/p\u003e \u003cp\u003eTime Series Regression when Y and X Have Unit Roots but Are Not Cointegrated 184\u003c\/p\u003e \u003cp\u003eEndnotes 187\u003c\/p\u003e \u003cp\u003eChapter 12 Applications of Time Series Methods in Macroeconomics and Finance 189\u003c\/p\u003e \u003cp\u003eFinancial Volatility 190\u003c\/p\u003e \u003cp\u003eAutoregressive Conditional Heteroskedasticity (ARCH) 196\u003c\/p\u003e \u003cp\u003eGranger Causality 200\u003c\/p\u003e \u003cp\u003eVector Autoregressions 206\u003c\/p\u003e \u003cp\u003eAppendix 12.1: Hypothesis Tests Involving More than One Coefficient 221\u003c\/p\u003e \u003cp\u003eEndnotes 225\u003c\/p\u003e \u003cp\u003eReference 226\u003c\/p\u003e \u003cp\u003eChapter 13 Limitations and Extensions 227\u003c\/p\u003e \u003cp\u003eProblems that Occur when the Dependent Variable Has Particular Forms 228\u003cbr\u003e \u003cbr\u003e Problems that Occur when the Errors Have Particular Forms 229\u003c\/p\u003e \u003cp\u003eProblems that Call for the Use of Multiple Equation Models 231\u003c\/p\u003e \u003cp\u003eEndnotes 236\u003c\/p\u003e \u003cp\u003eAppendix A Writing an Empirical Project 237\u003c\/p\u003e \u003cp\u003eDescription of a Typical Empirical Project 237\u003c\/p\u003e \u003cp\u003eGeneral Considerations 239\u003c\/p\u003e \u003cp\u003eProject Topics 240\u003c\/p\u003e \u003cp\u003eReferences 244\u003c\/p\u003e \u003cp\u003eAppendix B Data Directory 246\u003c\/p\u003e \u003cp\u003eAuthor Index 249\u003c\/p\u003e \u003cp\u003eSubject Index 250\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49406876254551,"sku":"9781118472538","price":44.6,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781118472538.jpg?v=1730497416","url":"https:\/\/bookcurl.com\/products\/analysis-of-economic-data-9781118472538","provider":"Book Curl","version":"1.0","type":"link"}