Econometric analysis of cross section and panel data/ Jeffrey M. Wooldridge

By: Wooldridge, Jeffrey MMaterial type: TextTextPublication details: Cambridge: MIT press, 2002Description: xxi, 752 p. ; 24 cmISBN: 9780262232197Subject(s): Econometrics--Asymptotic theoryDDC classification: 330.015195
Contents:
Introduction and background. Introduction ; Conditional expectations and related concepts in econometrics ; Basic asymptotic theory -- Linear models. The single-equation linear model and OLS estimation ; Instrumental variables estimation of single-equation linear models -- Additional single-equation topics ; Estimating systems of equations by OLS and GLS ; System estimation by instrumental variables ; Simultaneous equations models ; Basic linear unobserved effects panel data models ; More topics in linear unobserved effects models -- General approaches to nonlinear estimation. M-estimation ; Maximum likelihood methods ; Generalized method of moments and minimum distance estimation -- Nonlinear models and related topics. Discrete response models ; Corner solution outcomes and censored regression models ; Sample selection, attrition, and stratified sampling ; Estimating average treatment effects ; Count data and related models ; Duration analysis.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
General Books General Books Central Library, Sikkim University
General Book Section
330.015195 WOO/E (Browse shelf(Opens below)) Available P07595
Total holds: 0

Introduction and background. Introduction ; Conditional expectations and related concepts in econometrics ; Basic asymptotic theory --
Linear models. The single-equation linear model and OLS estimation ; Instrumental variables estimation of single-equation linear models --
Additional single-equation topics ; Estimating systems of equations by OLS and GLS ; System estimation by instrumental variables ; Simultaneous equations models ; Basic linear unobserved effects panel data models ; More topics in linear unobserved effects models --
General approaches to nonlinear estimation. M-estimation ; Maximum likelihood methods ; Generalized method of moments and minimum distance estimation --
Nonlinear models and related topics. Discrete response models ; Corner solution outcomes and censored regression models ; Sample selection, attrition, and stratified sampling ; Estimating average treatment effects ; Count data and related models ; Duration analysis.

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