Time Series and Panel Data Econometrics

Pesaran, M. Hashem

Published by Oxford University Press
ISBN 10: 0198759983 / ISBN 13: 9780198759980
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The book describes and illustrates many advances that have taken place in a number of areas in theoretical and applied econometrics over the past four decades. Num Pages: 1104 pages. BIC Classification: KCC; KCH; KFF. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 194 x 250 x 63. Weight in Grams: 2140. . 2015. Paperback. . . . . Books ship from the US and Ireland. Bookseller Inventory #

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Synopsis: This book is concerned with recent developments in time series and panel data techniques for the analysis of macroeconomic and financial data. It provides a rigorous, nevertheless user-friendly, account of the time series techniques dealing with univariate and multivariate time series models, as well as panel data models.

It is distinct from other time series texts in the sense that it also covers panel data models and attempts at a more coherent integration of time series, multivariate analysis, and panel data models. It builds on the author's extensive research in the areas of time series and panel data analysis and covers a wide variety of topics in one volume. Different parts of the book can be used as teaching material for a variety of courses in econometrics. It can also be used as reference manual.

It begins with an overview of basic econometric and statistical techniques, and provides an account of stochastic processes, univariate and multivariate time series, tests for unit roots, cointegration, impulse response analysis, autoregressive conditional heteroskedasticity models, simultaneous equation models, vector autoregressions, causality, forecasting, multivariate volatility models, panel data models, aggregation and global vector autoregressive models (GVAR). The techniques are illustrated using Microfit 5 (Pesaran and Pesaran, 2009, OUP) with applications to real output, inflation, interest rates, exchange rates, and stock prices.

About the Author:
M. Hashem Pesaran, John Elliot Distinguished Chair in Economics and professor of economics at University of Southern California Dornsife; Director of the USC Dornsife Institute of Economic Thinking, and Director of Centre in Applied Financial Economics at USC; Fellow of Trinity College, and emeritus Professor of Economics, Cambridge University

M. Hashem Pesaran is the John Elliot Distinguished Chair in Economics and professor of economics at USC Dornsife, the Director of the USC Dornsife Institute of Economic Thinking, and Director of Centre in Applied Financial Economics at USC. He is also a Fellow of Trinity College, and an emeritus Professor of Economics at Cambridge University. He received his Ph.D. in economics from Cambridge University. Prior to 1979 he headed the Economic Research Department of the Central Bank of Iran and served as Under-Secretary of the Iranian Ministry of Education. Dr Pesaran is a fellow of the British Academy, the Econometric Society, and the Journal of Econometrics. He has received the George Sell Prize and the Royal Economic Society Prize. He has more than 200 publications in the areas of econometrics, empirical finance, and macroeconomics and the Iranian economy. He is a co-developer of Microfit, an econometric software package published by Oxford University Press.

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Title: Time Series and Panel Data Econometrics
Publisher: Oxford University Press
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Book Description Oxford University Press, United Kingdom, 2015. Paperback. Book Condition: New. Reprint. 246 x 198 mm. Language: English . Brand New Book. This book is concerned with recent developments in time series and panel data techniques for the analysis of macroeconomic and financial data. It provides a rigorous, nevertheless user-friendly, account of the time series techniques dealing with univariate and multivariate time series models, as well as panel data models. It is distinct from other time series texts in the sense that it also covers panel data models and attempts at a more coherent integration of time series, multivariate analysis, and panel data models. It builds on the author s extensive research in the areas of time series and panel data analysis and covers a wide variety of topics in one volume. Different parts of the book can be used as teaching material for a variety of courses in econometrics. It can also be used as reference manual.It begins with an overview of basic econometric and statistical techniques, and provides an account of stochastic processes, univariate and multivariate time series, tests for unit roots, cointegration, impulse response analysis, autoregressive conditional heteroskedasticity models, simultaneous equation models, vector autoregressions, causality, forecasting, multivariate volatility models, panel data models, aggregation and global vector autoregressive models (GVAR). The techniques are illustrated using Microfit 5 (Pesaran and Pesaran, 2009, OUP) with applications to real output, inflation, interest rates, exchange rates, and stock prices. Bookseller Inventory # AAZ9780198759980

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Book Description Oxford University Press, United Kingdom, 2015. Paperback. Book Condition: New. Reprint. 246 x 198 mm. Language: English . Brand New Book. This book is concerned with recent developments in time series and panel data techniques for the analysis of macroeconomic and financial data. It provides a rigorous, nevertheless user-friendly, account of the time series techniques dealing with univariate and multivariate time series models, as well as panel data models. It is distinct from other time series texts in the sense that it also covers panel data models and attempts at a more coherent integration of time series, multivariate analysis, and panel data models. It builds on the author s extensive research in the areas of time series and panel data analysis and covers a wide variety of topics in one volume. Different parts of the book can be used as teaching material for a variety of courses in econometrics. It can also be used as reference manual.It begins with an overview of basic econometric and statistical techniques, and provides an account of stochastic processes, univariate and multivariate time series, tests for unit roots, cointegration, impulse response analysis, autoregressive conditional heteroskedasticity models, simultaneous equation models, vector autoregressions, causality, forecasting, multivariate volatility models, panel data models, aggregation and global vector autoregressive models (GVAR). The techniques are illustrated using Microfit 5 (Pesaran and Pesaran, 2009, OUP) with applications to real output, inflation, interest rates, exchange rates, and stock prices. Bookseller Inventory # AAZ9780198759980

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