Solutions Manual for Econometrics by Baltagi, Badi
The Econometrics Solution Manual from Baltagi is our recommended solution manual for students of Econometrics who study with our instructors for online courses in Econometrics. This tutorial introductions the the Third Edition updates the “Econometrics” to match the Fifth Edition of the Econometrics textbook by Baltagi. It adds problems and solutions using latest software versions of Stata and EViews. Special features include empirical examples using EViews and Stata.
The book offers rigorous proofs and treatment of difficult econometrics concepts in a simple and clear way, and it provides the reader with both applied and theoretical econometrics problems along with their solutions. You can request complete Econometrics Solution Manuals for any book in Econometrics from our top freelancers in Econometrics.
About the Author of Solutions Manual for Econometrics
Badi H. Baltagi is distinguished Professor of Economics and Senior Research Associate at the Center for Policy Research, Syracuse University. He received his Ph.D. in Economics at the University of Pennsylvania in 1979. Before joining Syracuse University, he served on the faculty at the University of Houston and Texas A & M University. He is a fellow of the Journal of Econometrics and a recipient of the Multa and Plura Scripsit Awards from Econometric Theory.
Preface for Econometrics Solution Manual
This Econometrics Solution Manual provides solutions to selected exercises from each chapter of the fifth edition of Econometrics by Badi H. Baltagi.1 Eviews and Stata as well as SASr programs are provided for the empirical exercises. Some of the problems and solutions are obtained from Econometric Theory (ET) and these are reprinted with the permission of Cambridge University Press. I would like to thank Peter C.B. Phillips, and past editors of the Problems and Solutions section, Alberto Holly, Juan Dolado and Paolo Paruolo for their useful service to the econometrics profession. I would also like to thank my colleague (from Texas A&M) James M. Griffin for providing many empirical problems and data sets. I have also used three empirical data sets from Lott and Ray (1992).
The reader is encouraged to apply these econometric techniques to their own data sets and to replicate the results of published articles. Instructors and students are encouraged to get other data sets from the Internet or journals that provide backup data sets to published articles. The Journal of Applied Econometrics and the American Economic Review are two such journals. In fact, the Journal of Applied Econometrics has a replication section for which I am serving as an editor. In my course I require my students to replicate an empirical paper.
I would like to thank my students Wei-Wen Xiong, Ming-Jang Weng, Kiseok Nam, Dong Li, Gustavo Sanchez, Long Liu and Liu Tian who solved several of the exercises. I would also like to thank Martina Bihn at Springer for her continuous support and professional editorial help.