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Econometric Analysis of Cross Section and Panel Data

Econometric Analysis of Cross Section and Panel Data Cover

 

Synopses & Reviews

Publisher Comments:

This graduate text provides an intuitive but rigorous treatment of contemporary methods used in microeconometric research. The book makes clear that applied microeconometrics is about the estimation of marginal and treatment effects, and that parametric estimation is simply a means to this end. It also clarifies the distinction between causality and statistical association.

The book focuses specifically on cross section and panel data methods. Population assumptions are stated separately from sampling assumptions, leading to simple statements as well as to important insights. The unified approach to linear and nonlinear models and to cross section and panel data enables straightforward coverage of more advanced methods. The numerous end-of-chapter problems are an important component of the book. Some problems contain important points not fully described in the text, and others cover new ideas that can be analyzed using tools presented in the current and previous chapters. Several problems require the use of the data sets located at the author's website.

Synopsis:

A comprehensive state-of-the-art text on microeconometric methods.

Synopsis:

This graduate text provides an intuitive but rigorous treatment of contemporary methods used in microeconometric research. The book makes clear that applied microeconometrics is about the estimation of marginal and treatment effects, and that parametric estimation is simply a means to this end. It also clarifies the distinction between causality and statistical association.

Synopsis:

The book focuses specifically on cross section and panel data methods. Population assumptions are stated separately from sampling assumptions, leading to simple statements as well as to important insights. The unified approach to linear and nonlinear models and to cross section and panel data enables straightforward coverage of more advanced methods. The numerous end-of-chapter problems are an important component of the book. Some problems contain important points not fully described in the text, and others cover new ideas that can be analyzed using tools presented in the current and previous chapters. Several problems require the use of the data sets located at the author's website.

About the Author

Jeffrey M. Wooldridge is University Distinguished Professor of Economics at Michigan State University and a Fellow of the Econometric Society.

Product Details

ISBN:
9780262232197
Author:
Wooldridge, Jeffrey M.
Publisher:
The MIT Press
Location:
Cambridge, Mass.
Subject:
Economics
Subject:
Econometrics
Subject:
Accounting - General
Subject:
Asymptotic theory
Subject:
Economics - General
Edition Description:
Includes bibliographical references and index.
Series Volume:
no. 1
Publication Date:
20011001
Binding:
Hardback
Grade Level:
Professional and scholarly
Language:
English
Pages:
776
Dimensions:
9 x 8 in

Related Subjects

History and Social Science » Economics » General
Science and Mathematics » Mathematics » Econometrics

Econometric Analysis of Cross Section and Panel Data
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$ In Stock
Product details 776 pages MIT Press - English 9780262232197 Reviews:
"Synopsis" by , A comprehensive state-of-the-art text on microeconometric methods.
"Synopsis" by , This graduate text provides an intuitive but rigorous treatment of contemporary methods used in microeconometric research. The book makes clear that applied microeconometrics is about the estimation of marginal and treatment effects, and that parametric estimation is simply a means to this end. It also clarifies the distinction between causality and statistical association.
"Synopsis" by , The book focuses specifically on cross section and panel data methods. Population assumptions are stated separately from sampling assumptions, leading to simple statements as well as to important insights. The unified approach to linear and nonlinear models and to cross section and panel data enables straightforward coverage of more advanced methods. The numerous end-of-chapter problems are an important component of the book. Some problems contain important points not fully described in the text, and others cover new ideas that can be analyzed using tools presented in the current and previous chapters. Several problems require the use of the data sets located at the author's website.
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