Solutions Manual for Econometrics
3rd Edition
Published on 11. September 2014
Book
Paperback/Softback
VII, 408 pages
978-3-642-54547-4 (ISBN)
Description
This Third Edition updates the "Solutions Manual for
Econometrics"
to match the Fifth Edition of the Econometrics textbook. 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.
More details
Series
Edition
3rd ed. 2015
Language
English
Place of publication
Heidelberg
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Edition type
Revised edition
Illustrations
12 s/w Abbildungen
VII, 408 p. 12 illus.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
6263 gr
ISBN-13
978-3-642-54547-4 (9783642545474)
DOI
10.1007/978-3-642-54548-1
Schweitzer Classification
Other editions
New editions
Badi H. Baltagi
Solutions Manual for Econometrics
Book
12/2022
4th Edition
Springer
€53.49
Shipment within 7-9 days
Additional editions
Badi H. Baltagi
Solutions Manual for Econometrics
E-Book
09/2014
3rd Edition
Springer
€90.94
Available for download
Previous edition
Badi H. Baltagi
Solutions Manual for Econometrics
Book
12/2009
2nd Edition
Springer
€42.75
Article exhausted; check for reprint
Person
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.
Content
What Is Econometrics?.- A Review of Some Basic Statistical Concepts.- Simple Linear Regression.- Multiple Regression Analysis.- Violations of the Classical Assumptions.- Distributed Lags and Dynamic Models.- The General Linear Model: The Basics.- Regression Diagnostics and Specification Tests.- Generalized Least Squares.- Seemingly Unrelated Regressions.- Simultaneous Equations Model.- Pooling Time-Series of Cross-Section Data.- Limited Dependent Variables.- Time-Series Analysis.