Econometrics in Theory and Practice
Econometrics in Theory and Practice

Author: Panchanan Das

Publisher: Springer Nature

Published: 2019-09-05

Total Pages: 574

ISBN-13: 9813290196

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This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software. The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.

Econometric Analysis of Cross Section and Panel Data, second edition
Econometric Analysis of Cross Section and Panel Data, second edition

Author: Jeffrey M. Wooldridge

Publisher: MIT Press

Published: 2010-10-01

Total Pages: 1095

ISBN-13: 0262232588

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The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

Applied Panel Data Analysis for Economic and Social Surveys
Applied Panel Data Analysis for Economic and Social Surveys

Author: Hans-Jürgen Andreß

Publisher: Springer Science & Business Media

Published: 2013-01-24

Total Pages: 338

ISBN-13: 3642329144

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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. ​

Econometric Analysis of Panel Data
Econometric Analysis of Panel Data

Author: Badi Baltagi

Publisher: John Wiley & Sons

Published: 2008-06-30

Total Pages: 239

ISBN-13: 0470518863

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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 Models with Panel Data Across Stata
Econometric Models with Panel Data Across Stata

Author: Econometric Books

Publisher: Createspace Independent Publishing Platform

Published: 2015-10-23

Total Pages: 0

ISBN-13: 9781518745645

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The data panels are a special type of samples in which the behavior of a certain number of economic agents is followed over time. In this way, the researcher can perform economic analysis and specify models with the data of cross section that are obtained when all operators are considered in an instant of time. Different patterns of behaviour of all agents together studied in the different temporal moments may thus be assessed. Alternatively, you can perform the same analysis considering time series given by the evolution of each economic agent throughout all the periods of the sample. This book explores the panel data econometrics through STATA. The content is de next: PANEL DATA MODELS 1.1 Introduction TO PANEL data: Data structures 1.2 ECONOMETRIC Models with PANEL data 1.3 Panel DATA Models with constant coefficients 1.4 Panel DATA Models WITH Fixed effects 1.5 PANEL DATA Models WITH Random effects 1.6 DYNAMIC PANEL data Models 1.7 LOGIT and PROBIT PANEL DATA Models PANEL data models with STATA 2.1 Stata And PANEL data models 2.2 Examples MODELS with PANEL data 2.3 Logit, probit and Poisson models with panel data 2.4 Estimation of dynamic panels using the Arellano - Bond methodology LINEAR REGRESSION ESTIMATORS IN PANEL DATA MODELS 3.1 STATA COMMANDS IN PANEL DATA MODELS LINEAR REGRESSION 3.2 FIXED AN RANDOM EFFECTS, AND POPULATION-AVERAGED EFECTS LINEAR MODELS. XTREG 3.3 PANELS WITH AUTOCORRELATION. XTREGAR 3.4 HETEROSKEDASTICITY AN AUTOCORRELATION IN PANEL DATA MODELS. XTGLS 3.5 PANEL-CORRECTED STANDARD ERRORS. XTPCSE 3.6 INSTRUMENTAL VARIABLES AND TWO-STAGE LEAST SQUARES IN PANEL DATA. XTIVREG 3.7 panel-data models with random coefficients. XTRC 3.8 panel-data models with multilevel mixed effects. XTMIXED 3.9 ERROR-COMPONENTS MODEL across Hausman-Taylor estimator. XTHTAYLOR 3.10 Stochastic frontier models for panel data. XTFRONTIER DYNAMIC PANEL DATA Models 4.1 ESTIMATORS FOR DYNAMIC PANEL DATA MODELS 4.2 ARELLANO-BOND LINEAR DYNAMIC PANEL DATA. XTABOND COMMAND 4.3 LINEAR DYNAMIC PANEL-DATA ESTIMATION. XTPD 4.4 ARELLANO-BOVER/BLUNDELL-BOND LINEAR DYNAMIC PANEL-DATA ESTIMATION. XTDPDSYS LOGIT AND PROBIT PANEL DATA Models 5.1 METHODOLOGICAL NOTES 5.2 STATA COMMAnds FOR ESTIMATE LOGIT AND PROBIT PANEL DATA MODELS 5.3 Fixed-effects, random-effects, and population-averaged logit models. XTLOGIT 5.4 Random-effects and population-averaged probit models. Xtprobit 5.5 Random-effects and population-averaged cloglog models. xtcloglog: 5.6 Multilevel mixed-effects logistic regression. Xtmelogit CENSORED AND COUNT Panel DATA MODELS. TOBIT, POISSON AND NEGATIVE BINOMIAL MODELS 6.1 CENSORED AND COUNT PANEL DATA MODELS 6.2 CENSORED PANEL DATA MODELS 6.3 COUNT PANEL DATA MODELS

Panel Data Econometrics
Panel Data Econometrics

Author: Donggyu Sul

Publisher: Routledge

Published: 2019-02-07

Total Pages: 150

ISBN-13: 0429752989

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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 to help applied researchers to run panel regressions correctly and avoid common mistakes. The book explains how to model cross-sectional dependence, how to estimate a few key common variables, and how to identify them. It also provides guidance on how to separate out the long-run relationship and common dynamic and idiosyncratic dynamic relationships from a set of panel data. Aimed at applied researchers who want to learn about panel data econometrics by running statistical software, this book provides clear guidance and is supported by a full range of online teaching and learning materials. It includes practice sections on MATLAB, STATA, and GAUSS throughout, along with short and simple econometric theories on basic panel regressions for those who are unfamiliar with econometric theory on traditional panel regressions.

An Introduction to Modern Econometrics Using Stata
An Introduction to Modern Econometrics Using Stata

Author: Christopher F. Baum

Publisher: Stata Press

Published: 2006-08-17

Total Pages: 362

ISBN-13: 1597180130

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Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, this introduction illustrates how to apply econometric theories used in modern empirical research using Stata. The author emphasizes the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how to apply the theories to real data sets. The book first builds familiarity with the basic skills needed to work with econometric data in Stata before delving into the core topics, which range from the multiple linear regression model to instrumental-variables estimation.

Financial Econometrics Using Stata
Financial Econometrics Using Stata

Author: Simona Boffelli

Publisher:

Published: 2016

Total Pages: 0

ISBN-13: 9781597182140

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Financial Econometrics Using Stata is an essential reference for graduate students, researchers, and practitioners who use Stata to perform intermediate or advanced methods. After discussing the characteristics of financial time series, the authors provide introductions to ARMA models, univariate GARCH models, multivariate GARCH models, and applications of these models to financial time series. The last two chapters cover risk management and contagion measures. After a rigorous but intuitive overview, the authors illustrate each method by interpreting easily replicable Stata examples.

Econometric Models with Panel Data : Applications with STATA
Econometric Models with Panel Data : Applications with STATA

Author: César Pérez López

Publisher: CESAR PEREZ

Published: 2022

Total Pages: 188

ISBN-13: 1008984132

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"The data panels are a special type of samples in which the behavior of a certain number of economic agents is followed over time. In this way, the researcher can perform economic analysis and specify models with the data of cross section that are obtained when all operators are considered in an instant of time. Different patterns of behaviour of all agents together studied in the different temporal moments may thus be assessed. Alternatively, you can perform the same analysis considering time series given by the evolution of each economic agent throughout all the periods of the sample. This book explores the panel data econometrics through STATA. The most important topics are the following: Linear regression estimators in panel data models, fixed and random effects, heteroskedasticity and autocorrelation in panel data models, instrumental variables and two stage least squares in panel data models, dynamic panel data models, logit and probit panel data models, censored panel data models, count panel data models, Tobit panel data models, Poisson panel data models, negative binomial panel data models and others models with panel data.".

Environmental Econometrics Using Stata
Environmental Econometrics Using Stata

Author: Christopher F. Baum

Publisher: Stata Press

Published: 2021-05-10

Total Pages: 416

ISBN-13: 9781597183550

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Aspects of environmental change are some of the greatest challenges faced by policymakers today. The key issues addressed by environmental science are often empirical, and in many instances very detailed, sizable datasets are available. Researchers in this field should have a solid understanding of the econometric tools best suited for analysis of these data. While complex and expensive physical models of the environment exist, it is becoming increasingly clear that reduced-form econometric models have an important role to play in modeling environmental phenomena. In short, successful environmental modeling does not necessarily require a structural model, but the econometric methods underlying a reduced-form approach must be competently executed. Environmental Econometrics Using Stata provides an important starting point for this journey by presenting a broad range of applied econometric techniques for environmental econometrics and illustrating how they can be applied in Stata. The emphasis is not only on how to formulate and fit models in Stata but also on the need to use a wide range of diagnostic tests in order to validate the results of estimation and subsequent policy conclusions. This focus on careful, reproducible research should be appreciated by academic and non-academic researchers who are seeking to produce credible, defensible conclusions about key issues in environmental science.