Analysis Of Panel Data

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Econometric Analysis Of Panel Data

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Author : Badi Baltagi
language : en
Publisher: John Wiley & Sons
Release Date : 2008-06-30

Econometric Analysis Of Panel Data written by Badi Baltagi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-30 with Business & Economics categories.

Written by one of the world's leading researchers and writers in the field, Econometric Analysis of Panel Data has become established as the leading textbook for postgraduate courses in panel data. This new edition reflects the rapid developments in the field covering the vast research that has been conducted on panel data since its initial publication. Featuring the most recent empirical examples from panel data literature, data sets are also provided as well as the programs to implement the estimation and testing procedures described in the book. These programs will be made available via an accompanying website which will also contain solutions to end of chapter exercises that will appear in the book. The text has been fully updated with new material on dynamic panel data models and recent results on non-linear panel models and in particular work on limited dependent variables panel data models.

Econometric Analysis Of Panel Data

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Author : Badi H. Baltagi
language : en
Publisher:
Release Date : 1995-01

Econometric Analysis Of Panel Data written by Badi H. Baltagi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-01 with categories.

This new edition of this established textbook reflects the rapid developments in the field covering the vast research that has been conducted on panel data since its initial publication. The book is packed with the most recent empirical examples from panel data literature, for example, a simultaneous equation on Crime will be added to chapter 7, which will be illustrated with STATA. Data sets will be provided as well as the programs to implement the estimation and testing procedures described in the book on the web site. Additional exercises will be added to each chapter and their solutions will be provided on the web site. The text has also been fully updated with new material on dynamic panel data models and recent results on non-linear panel models and in particular work on limited dependent variables panel data models.

Econometrics Of Panel Data

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Author : Erik Biørn
language : en
Publisher: Oxford University Press
Release Date : 2016-10-13

Econometrics Of Panel Data written by Erik Biørn and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-13 with Business & Economics categories.

Panel data is a data type increasingly used in research in economics, social sciences, and medicine. Its primary characteristic is that the data variation goes jointly over space (across individuals, firms, countries, etc.) and time (over years, months, etc.). Panel data allow examination of problems that cannot be handled by cross-section data or time-series data. Panel data analysis is a core field in modern econometrics and multivariate statistics, and studies based on such data occupy a growing part of the field in many other disciplines. The book is intended as a text for master and advanced undergraduate courses. It may also be useful for PhD-students writing theses in empirical and applied economics and readers conducting empirical work on their own. The book attempts to take the reader gradually from simple models and methods in scalar (simple vector) notation to more complex models in matrix notation. A distinctive feature is that more attention is given to unbalanced panel data, the measurement error problem, random coefficient approaches, the interface between panel data and aggregation, and the interface between unbalanced panels and truncated and censored data sets. The 12 chapters are intended to be largely self-contained, although there is also natural progression. Most of the chapters contain commented examples based on genuine data, mainly taken from panel data applications to economics. Although the book, inter alia, through its use of examples, is aimed primarily at students of economics and econometrics, it may also be useful for readers in social sciences, psychology, and medicine, provided they have a sufficient background in statistics, notably basic regression analysis and elementary linear algebra.

Analysis Of Panel Data

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Author : Cheng Hsiao
language : en
Publisher:
Release Date : 1986

Analysis Of Panel Data written by Cheng Hsiao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Business & Economics categories.

This book reviews the basic econometric methods that have been used to analyze panel data - in other words, data collected by observing a number of individuals over time. In analyzing panel, data, difficulties can arise due to unobserved individuals and/or time characteristics. The focus of this book is twofold: correcting for these difficulties, and providing methods for improvement of the efficiency of the estimates. Analysis of Panel Data draws together work on panel data from a number of different perspectives, including the econometric literature on specification analysis, the time series literature on dynamic models, and discrete choice literature. Empirical examples are provided to illustrate the theoretical discussion as well as to indicate areas of research where panel data might be useful.

Applied Panel Data Analysis For Economic And Social Surveys

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Author : Hans-Jürgen Andreß
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-01-24

Applied Panel Data Analysis For Economic And Social Surveys written by Hans-Jürgen Andreß and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-24 with Social Science categories.

Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and random effects models, models for change scores and event history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader through data provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right model in applied research. The textbook is directed at master and doctoral students as well as applied researchers in the social sciences, psychology, business administration and economics. Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation. ​

Essays In Panel Data Econometrics

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Author : Marc Nerlove
language : en
Publisher: Cambridge University Press
Release Date : 2005-11-10

Essays In Panel Data Econometrics written by Marc Nerlove and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-10 with Business & Economics categories.

This volume collects seven of Marc Nerlove's previously published, classic essays on panel data econometrics written over the past thirty-five years, together with a cogent essay on the history of the subject, which began with George Biddell Airey's monograph published in 1861. Since Professor Nerlove's 1966 Econometrica paper with Pietro Balestra, panel data and methods of econometric analysis appropriate to such data have become increasingly important in the discipline. The principal factors in the research environment affecting the future course of panel data econometrics are the phenomenal growth in the computational power available to the individual researcher at his or her desktop and the ready availability of data sets, both large and small, via the Internet. The best way to formulate statistical models for inference is motivated and shaped by substantive problems and understanding of the processes generating the data at hand to resolve them. The essays illustrate both the role of the substantive context in shaping appropriate methods of inference and the increasing importance of computer-intensive methods.

Panel Data Analysis Using Eviews

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Author : I. Gusti Ngurah Agung
language : en
Publisher: John Wiley & Sons
Release Date : 2013-12-31

Panel Data Analysis Using Eviews written by I. Gusti Ngurah Agung and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-31 with Mathematics categories.

A comprehensive and accessible guide to panel data analysis using EViews software This book explores the use of EViews software in creating panel data analysis using appropriate empirical models and real datasets. Guidance is given on developing alternative descriptive statistical summaries for evaluation and providing policy analysis based on pool panel data. Various alternative models based on panel data are explored, including univariate general linear models, fixed effect models and causal models, and guidance on the advantages and disadvantages of each one is given. Panel Data Analysis using EViews: Provides step-by-step guidance on how to apply EViews software to panel data analysis using appropriate empirical models and real datasets. Examines a variety of panel data models along with the author’s own empirical findings, demonstrating the advantages and limitations of each model. Presents growth models, time-related effects models, and polynomial models, in addition to the models which are commonly applied for panel data. Includes more than 250 examples divided into three groups of models (stacked, unstacked, and structured panel data), together with notes and comments. Provides guidance on which models not to use in a given scenario, along with advice on viable alternatives. Explores recent new developments in panel data analysis An essential tool for advanced undergraduate or graduate students and applied researchers in finance, econometrics and population studies. Statisticians and data analysts involved with data collected over long time periods will also find this book a useful resource.

Econometric Analysis Of Panal Data

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Author : Badi H. Baltagi
language : en
Publisher: John Wiley & Sons
Release Date : 2001-10-31

Econometric Analysis Of Panal Data written by Badi H. Baltagi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-10-31 with Business & Economics categories.

This new edition of this established textbook reflects the rapid developments in the field covering the vast research that has been conducted on panel data since its initial publication. The book is packed with the most recent empirical examples from panel data literature and includes new data sets. The use of the standard software packages in the field i.e. STATA, LIMDEP, TSP & SAS are illustrated with new examples. The text has also been fully updated with new material on: non-stationary models, unit roots in panels and cointegration, prediction in panels, serial correlation, heteroskedasticity, and new results on GMM in dynamic panel data models. There is also website providing supplementary material for lecturers.

A Companion To Econometric Analysis Of Panel Data

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Author : Badi H. Baltagi
language : en
Publisher: John Wiley & Sons
Release Date : 2009-06-22

A Companion To Econometric Analysis Of Panel Data written by Badi H. Baltagi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-22 with Business & Economics categories.

This book is a companion to Baltagi’s (2008) leading graduate econometrics textbook on panel data entitled Econometric Analysis of Panel Data, 4th Edition. The book guides the student of panel data econometrics by solving exercises in a logical and pedagogical manner, helping the reader understand, learn and apply panel data methods. It is also a helpful tool for those who like to learn by solving exercises and running software to replicate empirical studies. It works as a complementary study guide to Baltagi (2008) and also as a stand alone book that builds up the reader’s confidence in working out difficult exercises in panel data econometrics and applying these methods to empirical work. The exercises start by providing some background information on partitioned regressions and the Frisch-Waugh-Lovell theorem. Then it goes through the basic material on fixed and random effects models in a one-way and two-way error components models: basic estimation, test of hypotheses and prediction. This include maximum likelihood estimation, testing for poolability of the data, testing for the significance of individual and time effects, as well as Hausman's test for correlated effects. It also provides extensions of panel data techniques to serial correlation, spatial correlation, heteroskedasticity, seemingly unrelated regressions, simultaneous equations, dynamic panel models, incomplete panels, measurement error, count panels, rotating panels, limited dependent variables, and non-stationary panels.

Analysis Of Panel Data

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Author : Cheng Hsiao
language : en
Publisher: Cambridge University Press
Release Date : 2014-11-24

Analysis Of Panel Data written by Cheng Hsiao and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-24 with Business & Economics categories.

This book provides a comprehensive, coherent, and intuitive review of panel data methodologies that are useful for empirical analysis. Substantially revised from the second edition, it includes two new chapters on modeling cross-sectionally dependent data and dynamic systems of equations. Some of the more complicated concepts have been further streamlined. Other new material includes correlated random coefficient models, pseudo-panels, duration and count data models, quantile analysis, and alternative approaches for controlling the impact of unobserved heterogeneity in nonlinear panel data models.