Badi H. Baltagi – författare

The Oxford Handbook of Panel Data examines new developments in the theory and applications of panel data. It includes basic topics like non-stationary panels, co-integration in panels, multifactor panel models, panel unit roots, measurement error in panels, incidental parameters and dynamic panels, spatial panels, nonparametric panel data, random coefficients, treatment effects, sample selection, count panel data, limited dependent variable panel models, unbalanced panel models with interactive effects and influential observations in panel data. Contributors to the Handbook explore applications of panel data to a wide range of topics in economics, including health, labor, marketing, trade, productivity, and macro applications in panels.This Handbook is an informative and comprehensive guide for both those who are relatively new to the field and for those wishing to extend their knowledge to the frontier. It is a trusted and definitive source on panel data, having been edited by Professor Badi Baltagi-widely recognized as one of the foremost econometricians in the area of panel data econometrics. Professor Baltagi has successfully recruited an all-star cast of experts for each of the well-chosen topics in the Handbook.

Panel data econometrics has evolved rapidly over the last decade. Dynamic panel data estimation, non-linear panel data methods and the phenomenal growth in non-stationary panel data econometrics makes this an exciting area of research in econometrics. The 11th international conference on panel data held at Texas A&M University, College Station, Texas, June 2004, witnessed about 150 participants and 100 papers on panel data. This volume includes some of the papers presented at that conference and other solicited papers that made it through the refereeing process. "Contributions to Economic Analysis" was established in 1952. The series purpose is to stimulate the international exchange of scientific information. The series includes books from all areas of macroeconomics and microeconomics.

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.

A Companion to Theoretical Econometrics provides a comprehensive reference to the basics of econometrics. This companion focuses on the foundations of the field and at the same time integrates popular topics often encountered by practitioners. The chapters are written by international experts and provide up-to-date research in areas not usually covered by standard econometric texts. Focuses on the foundations of econometrics.Integrates real-world topics encountered by professionals and practitioners.Draws on up-to-date research in areas not covered by standard econometrics texts.Organized to provide clear, accessible information and point to further readings.

This volume is dedicated to two recent intensive areas of research in the econometrics of panel data, namely nonstationary panels and dynamic panels. It includes a comprehensive survey of the nonstationary panel literature including panel unit root tests, spurious panel regressions and panel cointegration tests. In addition, it provides recent developments in the estimation of dynamic panel data models using generalized method of moments. The volume includes eleven chapters written by twenty authors. These chapters: investigate better methods of estimating dynamic panels; develop methods for estimating and testing hypotheses for cointegrating vectors in dynamic panels; extend the concept of serial correlation common features analysis to nonstationary panel data models; study the local power of panel unit root test statistics; derive the asymptotic distributions of various estimators for the panel cointegrated regression model; propose a unit root test in the presence of structural change; develop a new limit theory for panel data that may be cross-sectionally heterogeneous; propose stationarity tests for a heterogeneous panel data model; derive instrumental variable estimators for a semiparametric partially linear dynamic panel data model; and conduct Monte Carlo experiments to study the small sample properties of a growth convergence equation. This collection of papers should prove useful for practitioners and researchers working with panel data.

"Transportation Indicators and Business Cycles" recognises the important role the transportation sector plays in business cycle propagation and develops indicators for this sector to identify its current state, and predict its future. The reference cycle is defined, including business and growth cycles, for this sector over the period from 1979 using both the conventional National Bureau of Economic Research (NBER) method and modern time series models. A one-to-one correspondence between cycles in the transportation sector and those in the aggregate economy is found. It also constructs an index of leading indicators for the transportation sector using rigorous statistical procedures, and performs well as a forecasting tool.

A Companion to Theoretical Econometrics provides a comprehensive reference to the basics of econometrics. This companion focuses on the foundations of the field and at the same time integrates popular topics often encountered by practitioners. The chapters are written by international experts and provide up-to-date research in areas not usually covered by standard econometric texts. Focuses on the foundations of econometrics.Integrates real-world topics encountered by professionals and practitioners.Draws on up-to-date research in areas not covered by standard econometrics texts.Organized to provide clear, accessible information and point to further readings.

The 'Advances in Econometrics' series aims to publish annual original scholarly econometrics papers on designated topics with the intention of expanding the use of developed and emerging econometric techniques by disseminating ideas on the theory and practice of econometrics throughout the empirical economic, business and social science literature.

Advances in Econometrics is a research annual whose editorial policy is to publish original research articles that contain enough details so that economists and econometricians who are not experts in the topics will find them accessible and useful in their research. Volume 37 exemplifies this focus by highlighting key research from new developments in econometrics.

Recent years have witnessed a dramatic surge in applied econometric work in health economics, enhanced by the availability of large micro and macro data sets as well as the rapid development of new techniques and tools in econometrics. Health economics is an important and challenging area of research for applied econometricians, due to complexity embedded in the data, arising from issues such as nonlinearity of models, the presence of individual-level unobserved heterogeneity as well as time and cross sectional dependencies. This book covers a wide range of existing and emerging topics in applied health economics. These include: behavioural economics, medical care risk, social insurance, discrete choice models, cost-effectiveness analysis, health and immigration, vignette approach, response of parental investments to child’s health at birth, determinants of innovation in the pharmaceutical industry, hospital competition, use of administrative data, spatial health econometrics, health expenditure, and networks.

The global health crisis, exacerbated by the COVID-19 outbreak, has challenged all sectors of society, including health, economics, finance, and social inequality. The threats and complexities from the COVID-19 pandemic shock are the core subject of this latest volume in the Contributions to Economic Analysis series.The Economics of COVID-19 contains selected contributions analysing the effects of this pandemic, covering macroeconomics, computable general equilibrium models, financial markets, the reduction in seismic noise due to the slowdown in traffic and economic activities caused by the spread of the virus, the rapid surge in the digital transformation of production and consumption. Also included are health studies proposing to improve the traditional epidemic models, the effects of the pandemic on mental health, Minority Ethnic Groups in the UK, as well as the Lombardy region in Italy.The aim of this collection is to spur much needed research into the effects of COVID on the global economy, the health, and financial sectors, as well as its effects on development and growth and economic inequality.

Recent Developments in Health Econometrics is Volume 297 of the Contributions to Economic Analysis serial and is dedicated to Professor Andrew Jones. The volume highlights recent developments in health econometrics, especially in areas of empirical health economics, where Andrew has contributed so significantly. There is special focus on the determinants of health, the economics of addiction and socioeconomic inequalities in health and health care, with these topics are becoming more and more important since the start of the COVID 19 pandemic and through it’s ongoing impact.

This volume contains an Open Access ChapterThe Sustainability of Health Care Systems in Europe provides a comprehensive understanding of the sustainability of health systems in Europe. Furthermore, it includes an introduction to how EU action in supporting health- care policies in the EU Member States, looking both at implemented actions and describing current priorities for the future.There has been a rapid evolution of the structure of society and the economy over the last few decades which has created new demands for healthcare services. This has placed pressure on policy makers to ensure the sustainability of the health care sector.Policy makers understand the efficiency of the healthcare delivery system needs to be improved, the shortage of health professionals must be tackled, and that there are growing health inequalities and inequity in access to healthcare. These challenges are exacerbated by recent economic shocks including the 2008 recession, the uncertainty related to Brexit, and the crisis induced by the COVID-19 pandemic, which have impacted the ability of European health systems to finance the health care sector.This book is a must read for researchers and students of health economics and health policy.

This volume contains an Open Access ChapterThe Sustainability of Health Care Systems in Europe provides a comprehensive understanding of the sustainability of health systems in Europe. Furthermore, it includes an introduction to how EU action in supporting health- care policies in the EU Member States, looking both at implemented actions and describing current priorities for the future.There has been a rapid evolution of the structure of society and the economy over the last few decades which has created new demands for healthcare services. This has placed pressure on policy makers to ensure the sustainability of the health care sector.Policy makers understand the efficiency of the healthcare delivery system needs to be improved, the shortage of health professionals must be tackled, and that there are growing health inequalities and inequity in access to healthcare. These challenges are exacerbated by recent economic shocks including the 2008 recession, the uncertainty related to Brexit, and the crisis induced by the COVID-19 pandemic, which have impacted the ability of European health systems to finance the health care sector.This book is a must read for researchers and students of health economics and health policy.

In this landmark collection, the editor has selected the most influential papers on the econometrics of panel data published in the period from 1992-2001, thus providing an update on developments in the field since the two volumes edited by G.S. Maddala in 1993, which covered the period from 1966-1992.Topics covered in these latest volumes include core articles on dynamic panels and the generalized method of moments, heterogeneous panels, non-stationary panels including spurious regression, unit roots and tests for cointegration in panels, limited dependent variable models using panel data including models with censored endogenous variables and sample selection, non-linear panel data models, unbalanced panels, pseudo-panels and specification tests in panels.

This textbook offers a comprehensive introduction to panel data econometrics, an area that has enjoyed considerable growth over the last two decades. Micro and Macro panels are becoming increasingly available, and methods for dealing with these types of data are in high demand among practitioners. Software programs have fostered this growth, including freely available programs in R and numerous user-written programs in both Stata and EViews.Written by one of the world’s leading researchers and authors in the field, Econometric Analysis of Panel Data has established itself as the leading textbook for graduate and postgraduate courses on panel data. It provides up-to-date coverage of basic panel data techniques, illustrated with real economic applications and datasets, which are available at the book’s website on springer.com. This new sixth edition has been fully revised and updated, and includes new material on dynamic panels, limited dependent variables and nonstationary panels, as well as spatial panel data. The author also provides empirical illustrations and examples using Stata and EViews. “This is a definitive book written by one of the architects of modern, panel data econometrics. It provides both a practical introduction to the subject matter, as well as a thorough discussion of the underlying statistical principles without taxing the reader too greatly."Professor Kajal Lahiri, State University of New York, Albany, USA."This book is the most comprehensive work available on panel data. It is written by one of the leading contributors to the field, and is notable for its encyclopaedic coverage and its clarity of exposition. It is useful to theorists and to people doing applied work using panel data. It is valuable as a text for a course in panel data, as a supplementary text for more general courses in econometrics, and as a reference."Professor Peter Schmidt, Michigan State University, USA.“Panel data econometrics is in its ascendancy, combining the power of cross section averaging with all the subtleties of temporal and spatial dependence. Badi Baltagi provides a remarkable roadmap of this fascinating interface of econometric method, enticing the novitiate with technical gentleness, the expert with comprehensive coverage and the practitioner with many empirical applications.”Professor Peter C. B. Phillips, Cowles Foundation, Yale University, USA.

This textbook teaches some of the basic econometric methods and the underlying assumptions behind them. It also includes a simple and concise treatment of more advanced topics in spatial correlation, panel data, limited dependent variables, regression diagnostics, specification testing and time series analysis. Each chapter has a set of theoretical exercises as well as empirical illustrations using real economic applications. These empirical exercises usually replicate a published article using Stata, Eviews as well as SAS.This new sixth edition has been fully revised and updated, and includes new material on limited dependent variables and panel data as well as revision of basic topics like heteroskedasticity, endogeneity, over-identification and specification testing. The author also provides more exercises and empirical examples based on published economic applications.

This Fourth Edition updates the "Solutions Manual for Econometrics" to match the Sixth Edition of the Econometrics textbook. The book offers rigorous proofs and treatment of difficult econometrics concepts in a simple and clear way, and provides the reader with both applied and theoretical econometrics problems along with their solutions.

This volume honors the life and legacy of renowned economist and econometrician Marc Nerlove, who passed away in July 2024.

This Second Edition serves as a comprehensive companion to Econometric Analysis of Panel Data by Badi H. Baltagi (2021), now in its 6th edition published by Springer. Designed to support both students and applied researchers, this companion enhances understanding of the textbook’s theoretical foundations, provides detailed solutions to many of its exercises, and offers additional empirical examples drawn from published applications in economics and related fields.More than just a solutions manual, this volume includes hands-on empirical illustrations using Stata and EViews, making it a practical resource for those applying panel data and spatial panel methods in real-world research. It is ideally suited for advanced undergraduate and graduate courses in econometrics, as well as for practitioners seeking a deeper grasp of the estimation and testing techniques used in panel data analysis.Panel data econometrics continues to grow in popularity across disciplines—including economics, finance, marketing, political science, sociology, and agricultural economics—driven by the increasing availability of panel datasets, advances in econometric methods, and the development of user-friendly software.This companion adds value by presenting exercises in a clear, logical, and pedagogical manner. While closely aligned with the structure and content of Baltagi (2021), the material is self-contained and can be used independently to build foundational knowledge in panel data econometrics.

A number of advances have taken place in panel data analysisduring the pastthree decades and it continues to be one ofthe most active areas of research. This volume contains 13significant contributions focusing on modelling strategies,data issues, theoretical analysis and applications. Appliedeconometrics papers on the economics of labor, health,telecommunications, finance and macroeconomics are providedas well as a survey of recent theoretical developments inpanal data analysis. Contributors include both well knownscholars and younger researchers from Australia, Canada,Europe and the United States of America.

The present book is a collection of panel data papers, both theoretical and applied. Theoretical topics include methodology papers on panel data probit models, treatment models, error component models with an ARMA process on the time specific effects, asymptotic tests for poolability and their bootstrapped versions, confidence intervals for a doubly heteroskedastic stochastic production frontiers, estimation of semiparametric dynamic panel data models and a review of survey attrition and nonresponse in the European Community Household Panel. Applications include as different topics as e.g. the impact of uncertainty on UK investment, a Tobin-q investment model using US firm data, cost efficiency of Spanish banks, immigrant integration in Canada, the dynamics of individual health in the UK, the relation between inflation and growth among OECD and APEC countries, technical efficiency of cereal farms in England, and employment effects of education for disabled workers in Norway.

Spatial Econometrics is a rapidly evolving field born from the joint efforts of economists, statisticians, econometricians and regional scientists. The book provides the reader with a broad view of the topic by including both methodological and application papers. Indeed the application papers relate to a number of diverse scientific fields ranging from hedonic models of house pricing to demography, from health care to regional economics, from the analysis of R&D spillovers to the study of retail market spatial characteristics. Particular emphasis is given to regional economic applications of spatial econometrics methods with a number of contributions specifically focused on the spatial concentration of economic activities and agglomeration, regional paths of economic growth, regional convergence of income and productivity and the evolution of regional employment. Most of the papers appearing in this book were solicited from the International Workshop on Spatial Econometrics and Statistics held in Rome (Italy) in 2006.

The present book is a collection of panel data papers, both theoretical and applied. Theoretical topics include methodology papers on panel data probit models, treatment models, error component models with an ARMA process on the time specific effects, asymptotic tests for poolability and their bootstrapped versions, confidence intervals for a doubly heteroskedastic stochastic production frontiers, estimation of semiparametric dynamic panel data models and a review of survey attrition and nonresponse in the European Community Household Panel. Applications include as different topics as e.g. the impact of uncertainty on UK investment, a Tobin-q investment model using US firm data, cost efficiency of Spanish banks, immigrant integration in Canada, the dynamics of individual health in the UK, the relation between inflation and growth among OECD and APEC countries, technical efficiency of cereal farms in England,  and employment effects of education for disabled workers in Norway.