
- 520 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
A Guide to Modern Econometrics
About this book
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
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access A Guide to Modern Econometrics by Marno Verbeek in PDF and/or ePUB format, as well as other popular books in Economics & Econometrics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- A Guide to Modern Econometrics
- Contents
- Preface
- 1 Introduction
- 2 An Introduction to Linear Regression
- 3 Interpreting and Comparing Regression Models
- 4 Heteroskedasticity and Autocorrelation
- 5 Endogenous Regressors, Instrumental Variables and GMM
- 6 Maximum Likelihood Estimation and Specification Tests
- 7 Models with Limited Dependent Variables
- 8 Univariate Time Series Models
- 9 Multivariate Time Series Models
- 10 Models Based on Panel Data
- A Vectors and Matrices
- B Statistical and Distribution Theory
- Bibliography
- Index