Search results for ""author michael a. thornton""

Written in a comprehensive yet accessible style, this Handbook introduces readers to a range of modern empirical methods with applications in microeconomics, illustrating how to use two of the most popular software packages, Stata and R, in microeconometric applications. International contributors expertly investigate the development of advanced methods driven by the accumulation of numerous data sets at the level of individuals, households and firms, and by an increase in the capacity and speed of computers. The Handbook highlights that, while the more traditional empirical methods were largely limited to establishing correlations, these new methods aim to uncover causality. Examination of these advances shows new possibilities for applied research in microeconomics in the estimation of sophisticated structural models and the evaluation of policy interventions. This insightful Handbook is a must-read for graduate students and instructors in applied microeconomics as well as researchers in government departments and academia pursuing modern advanced methods of policy evaluation and data analysis.

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This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and provide a sound guide for further reading.Topics covered include unit roots, non-linearities and structural breaks, time aggregation, forecasting, the Kalman filter, generalized method of moments, maximum likelihood and Bayesian estimation, vector autoregressive, dynamic stochastic general equilibrium and dynamic panel models. Presenting the most important models and techniques for empirical research, this Handbook will appeal to students, researchers and academics working in empirical macroeconomics and econometrics.Contributors: B.H. Baltagi, L. Bauwens, O. Boldea, J. Breitung, C. Cantore, M.J. Chambers, I. Choi, J. Davidson, V.J. Gabriel, R. Giacomini, P. Gomme, J. Gonzalo, P.A. Guerrón-Quintana, N. Haldrup, A.R. Hall, N. Hashimzade, M. Karanasos, L. Kilian, S. Kim, D. Korobilis, R. Kruse, P. Levine, D. Lkhagvasuren, A. Luati, H. Lütkepohl, J. Madeira, T.C. Mills, J.M. Nason, K. Patterson, J. Pearlman, J.-Y. Pitarakis, D.S.G. Pollock, T. Proietti, B. Rossi, F.J. Ruge-Murcia, T. Teräsvirta, M.A. Thornton, R.T. Varneskov, B. Yang, N. Zeng

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Written in a comprehensive yet accessible style, this Handbook introduces readers to a range of modern empirical methods with applications in microeconomics, illustrating how to use two of the most popular software packages, Stata and R, in microeconometric applications. International contributors expertly investigate the development of advanced methods driven by the accumulation of numerous data sets at the level of individuals, households and firms, and by an increase in the capacity and speed of computers. The Handbook highlights that, while the more traditional empirical methods were largely limited to establishing correlations, these new methods aim to uncover causality. Examination of these advances shows new possibilities for applied research in microeconomics in the estimation of sophisticated structural models and the evaluation of policy interventions. This insightful Handbook is a must-read for graduate students and instructors in applied microeconomics as well as researchers in government departments and academia pursuing modern advanced methods of policy evaluation and data analysis.

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This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and provide a sound guide for further reading.Topics covered include unit roots, non-linearities and structural breaks, time aggregation, forecasting, the Kalman filter, generalized method of moments, maximum likelihood and Bayesian estimation, vector autoregressive, dynamic stochastic general equilibrium and dynamic panel models. Presenting the most important models and techniques for empirical research, this Handbook will appeal to students, researchers and academics working in empirical macroeconomics and econometrics.Contributors: B.H. Baltagi, L. Bauwens, O. Boldea, J. Breitung, C. Cantore, M.J. Chambers, I. Choi, J. Davidson, V.J. Gabriel, R. Giacomini, P. Gomme, J. Gonzalo, P.A. Guerrón-Quintana, N. Haldrup, A.R. Hall, N. Hashimzade, M. Karanasos, L. Kilian, S. Kim, D. Korobilis, R. Kruse, P. Levine, D. Lkhagvasuren, A. Luati, H. Lütkepohl, J. Madeira, T.C. Mills, J.M. Nason, K. Patterson, J. Pearlman, J.-Y. Pitarakis, D.S.G. Pollock, T. Proietti, B. Rossi, F.J. Ruge-Murcia, T. Teräsvirta, M.A. Thornton, R.T. Varneskov, B. Yang, N. Zeng

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