A GUIDE TO MODERN ECONOMETRICS FOURTH EDITION,MARNO VERBEEK,A JOHN WILEY & SONS 🔍
Marno Verbeek Wiley; Brand: Wiley, 4th edition, Chichester, West Sussex, United Kingdom, 2012, ©2012
英语 [en] · 中文 [zh] · AZW3 · 14.1MB · 2012 · 📘 非小说类图书 · 🚀/duxiu/lgli/zlib · Save
描述
This highly successful text serves as a guide to alternative techniques in econometrics with an emphasis on the practical application of these approaches.
The 4th Edition features:
Coverage of a wide range of topics, including time series analysis, cointegration, limited dependent variables, panel data analysis and the generalized method of moments.
Intuitive presentation and discussion, with a focus on implementation and practical relevance.
A large number of empirical illustrations taken from a wide variety of fields, including international economics, finance, labour economics and macroeconomics.
Increased focus on robust inference and small sample properties.
End-of-chapter exercises, both theoretical and empirical, reviewing key concepts.
Updated and expanded coverage, on various topics such as missing data, outliers, forecast evaluation, the estimation of treatment effects and panel unit root tests.
Supplementary material, including PowerPoint slides for lecturers, data sets of the empirical illustrations and exercises, and solutions to selected exercises in each chapter, available at
www.wileyeurope.com/college/verbeek
备用文件名
zlib/Business & Economics/Econometrics/Marno Verbeek/A Guide to Modern Econometrics_21980806.azw3
备选作者
Verbeek, Marno
备选作者
LTD.
备用出版商
John Wiley & Sons, Incorporated
备用出版商
American Geophysical Union
备用出版商
Wiley-Blackwell
备用出版商
PUBLICATION
备用版本
United States, United States of America
备用版本
4th ed., Hoboken, NJ, New Jersey, 2012
备用版本
2000
元数据中的注释
lg1202611
元数据中的注释
Includes bibliographical references and index.
备用描述
Preface
Introduction
An introduction to linear regression
Interpreting and comparing regression models
Heteroskedasticity and autocorrelation
Endogenous regressors, instrumental variables and gmm
Maximum likelihood estimation and
Models with limited dependent variables
Univariate time series models
Multivariate time series models
Models based on panel data
Appendix A: vectors and matrices
Appendix B: statistical and distribution theory.
开源日期
2022-07-16
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