• Home
  • Panel Data Econometrics

Panel Data Econometrics

Panel Data Econometrics
  • Author : Mike Tsionas
  • Publsiher : Academic Press
  • Release : 20 June 2019
  • ISBN : 0128158603
  • Pages : 1011 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKPanel Data Econometrics

Summary:
Panel Data Econometrics: Empirical Applications introduces econometric modelling. Written by experts from diverse disciplines, the volume uses longitudinal datasets to illuminate applications for a variety of fields, such as banking, financial markets, tourism and transportation, auctions, and experimental economics. Contributors emphasize techniques and applications, and they accompany their explanations with case studies, empirical exercises and supplementary code in R. They also address panel data analysis in the context of productivity and efficiency analysis, where some of the most interesting applications and advancements have recently been made. Provides a vast array of empirical applications useful to practitioners from different application environments Accompanied by extensive case studies and empirical exercises Includes empirical chapters accompanied by supplementary code in R, helping researchers replicate findings Represents an accessible resource for diverse industries, including health, transportation, tourism, economic growth, and banking, where researchers are not always econometrics experts


Panel Data Econometrics

Panel Data Econometrics
  • Author : Mike Tsionas
  • Publisher : Academic Press
  • Release : 20 June 2019
GET THIS BOOKPanel Data Econometrics

Panel Data Econometrics: Empirical Applications introduces econometric modelling. Written by experts from diverse disciplines, the volume uses longitudinal datasets to illuminate applications for a variety of fields, such as banking, financial markets, tourism and transportation, auctions, and experimental economics. Contributors emphasize techniques and applications, and they accompany their explanations with case studies, empirical exercises and supplementary code in R. They also address panel data analysis in the context of productivity and efficiency analysis, where some of the most interesting applications


Panel Data Econometrics with R

Panel Data Econometrics with R
  • Author : Yves Croissant,Giovanni Millo
  • Publisher : John Wiley & Sons
  • Release : 22 October 2018
GET THIS BOOKPanel Data Econometrics with R

1 Introduction 5 1.1 Panel data econometrics: a gentle introduction 5 1.1.1 Eliminating unobserved components 6 1.2 R for econometric computing 11 1.2.1 The modus operandi of R 12 1.2.2 Data management 13 1.3 plm for the casual R user 14 1.3.1 R for the matrix language user 14 1.3.2 R for the user of econometric packages 16 1.4 plm for the procient R user 18 1.4.1 Reproducibile econometric work 18 1.4.2 Object-orientation for the user 19 1.5 plm for the R developer 20 1.5.1 Object orientation for development 21 1.6 Notations 24 2 The error component model 31 2.1 Notations and hypotheses 31 2.1.1 Notations 31 2.1.2 Some useful transformations 32 2.1.3 Hypotheses concerning the errors 34 2.2 Ordinary least


The Econometrics of Panel Data

The Econometrics of Panel Data
  • Author : Lászlo Mátyás,Patrick Sevestre
  • Publisher : Springer Science & Business Media
  • Release : 06 April 2008
GET THIS BOOKThe Econometrics of Panel Data

This restructured, updated Third Edition provides a general overview of the econometrics of panel data, from both theoretical and applied viewpoints. Readers discover how econometric tools are used to study organizational and household behaviors as well as other macroeconomic phenomena such as economic growth. The book contains sixteen entirely new chapters; all other chapters have been revised to account for recent developments. With contributions from well known specialists in the field, this handbook is a standard reference for all those


Panel Data Econometrics

Panel Data Econometrics
  • Author : Manuel Arellano
  • Publisher : Oxford University Press
  • Release : 03 March 2021
GET THIS BOOKPanel Data Econometrics

Written by one of the world's leading experts on dynamic panel data reviews, this volume reviews most of the important topics in the subject. It deals with static models, dynamic models, discrete choice and related models.


Panel Data Econometrics

Panel Data Econometrics
  • Author : Donggyu Sul
  • Publisher : Routledge
  • Release : 07 February 2019
GET THIS BOOKPanel Data Econometrics

In the last 20 years, econometric theory on panel data has developed rapidly, particularly for analyzing common behaviors among individuals over time. Meanwhile, the statistical methods employed by applied researchers have not kept up-to-date. This book attempts to fill in this gap by teaching researchers how to use the latest panel estimation methods correctly. Almost all applied economics articles use panel data or panel regressions. However, many empirical results from typical panel data analyses are not correctly executed. This book aims



Panel Data Econometrics

Panel Data Econometrics
  • Author : Mike Tsionas
  • Publisher : Academic Press
  • Release : 19 June 2019
GET THIS BOOKPanel Data Econometrics

Panel Data Econometrics: Theory introduces econometric modelling. Written by experts from diverse disciplines, the volume uses longitudinal datasets to illuminate applications for a variety of fields, such as banking, financial markets, tourism and transportation, auctions, and experimental economics. Contributors emphasize techniques and applications, and they accompany their explanations with case studies, empirical exercises and supplementary code in R. They also address panel data analysis in the context of productivity and efficiency analysis, where some of the most interesting applications and


Econometric Analysis of Cross Section and Panel Data

Econometric Analysis of Cross Section and Panel Data
  • Author : Jeffrey M. Wooldridge
  • Publisher : MIT Press
  • Release : 01 October 2010
GET THIS BOOKEconometric Analysis of Cross Section and Panel Data

This is the essential companion to Jeffrey Wooldridge's widely-used graduate text Econometric Analysis of Cross Section and Panel Data (MIT Press, 2001). Already established as a leading graduate econometrics text, the book offers an intuitive yet rigorous treatment of two methods used in econometric research, cross section and panel data techniques. The numerous end-of-chapter problems are an important component of the book, encouraging the student to use the analytical tools presented in the text. This manual contains answers to selected problems,


The Oxford Handbook of Panel Data

The Oxford Handbook of Panel Data
  • Author : Badi Hani Baltagi
  • Publisher : Oxford Handbooks
  • Release : 03 March 2021
GET THIS BOOKThe Oxford Handbook of Panel Data

Panel data econometrics has evolved rapidly over the past three decades. The field is of both theoretical and practical importance, and methods to deal with micro- and macroeconomic panel data are in high demand from practitioners. Applications in finance, development, trade, marketing, health, labor, and consumer economics attest to the usefulness of these methods in applied economics. THis book is a comprehensive source on panel data. It contains 20 chapters edited by Professor Badi Baltagi--one of the leading econometricians in the


Panel Data Econometrics

Panel Data Econometrics
  • Author : Badi H. Baltagi
  • Publisher : Emerald Group Publishing
  • Release : 01 April 2006
GET THIS BOOKPanel Data Econometrics

This volume includes some of the papers presented at the 11th International Conference on Panel Data, Texas, June 2004, and other solicited papers that passed the refereeing process and includes such topics as dynamic panel data estimation, non-linear panel data methods and the phenomenal growth in non-stationary panel data econometrics.






The Econometrics of Panel Data

The Econometrics of Panel Data
  • Author : László Mátyás,Patrick Sevestre
  • Publisher : Springer Science & Business Media
  • Release : 01 December 2013
GET THIS BOOKThe Econometrics of Panel Data

The aim of this volume is to provide a general overview of the econometrics of panel data, both from a theoretical and from an applied viewpoint. Since the pioneering papers by Edwin Kuh (1959), Yair Mundlak (1961), Irving Hoch (1962), and Pietro Balestra and Marc Nerlove (1966), the pooling of cross sections and time series data has become an increasingly popular way of quantifying economic relationships. Each series provides information lacking in the other, so a combination of both leads to more accurate and