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Limited-dependet and qualitative variables in econometrics / G. S. Maddala

By: Maddala, G.S [autor]
Series: Econometric society monographs in quantitative economicsPublisher: Estados Unidos : Cambridge university press, ©1983Description: xi., 401 páginas : ilustraciones ; 24 cmContent type: Media type: Carrier type: ISBN: 052124143XSubject(s): Econometria | Economia | VariablesDDC classification: 330.015195
Contents:
Introduction. -- Discrete regression models. -- Probabilistic-choice models. -- Discriminant analysis. -- Multivariate qualitative variables. -- Censored and truncated regression models. -- Simultaneous- equations models with truncated and censored variables. -- Two- state estimulation methods. -- Models with self- selectivity. -- Disequilibrium Models. -- Some applications: unions and wages.
Summary: This book deals with the usual regression and simultaneous- equations models when the dependent variables are qualitative, truncated, or censored. This has been an area of great interest in econometrics in recent years. This book covers in more or less elementary fashion many of the models commonly used in this field. It does not cover the area of analysis of panel data; including this topic would have made the book very unwieldy.
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Item type Current location Collection Call number Vol info Copy number Status Date due Barcode Item holds
Book Book B. Campus los Cerros
Colección general
Colección general 330.015195 M179 (Browse shelf) 1983 1 Available 0000041764
Total holds: 0

Enhanced descriptions from Syndetics:

This book presents the econometric analysis of single-equation and simultaneous-equation models in which the jointly dependent variables can be continuous, categorical, or truncated. Despite the traditional emphasis on continuous variables in econometrics, many of the economic variables encountered in practice are categorical (those for which a suitable category can be found but where no actual measurement exists) or truncated (those that can be observed only in certain ranges). Such variables are involved, for example, in models of occupational choice, choice of tenure in housing, and choice of type of schooling. Models with regulated prices and rationing, and models for program evaluation, also represent areas of application for the techniques presented by the author.

Includes appendix and index. Appendix: Some results on truncated distributions

Includes bibliography.

Introduction. -- Discrete regression models. -- Probabilistic-choice models. -- Discriminant analysis. -- Multivariate qualitative variables. -- Censored and truncated regression models. -- Simultaneous- equations models with truncated and censored variables. -- Two- state estimulation methods. -- Models with self- selectivity. -- Disequilibrium Models. -- Some applications: unions and wages.

This book deals with the usual regression and simultaneous- equations models when the dependent variables are qualitative, truncated, or censored. This has been an area of great interest in econometrics in recent years. This book covers in more or less elementary fashion many of the models commonly used in this field. It does not cover the area of analysis of panel data; including this topic would have made the book very unwieldy.

Table of contents provided by Syndetics

  • Preface
  • 1 Introduction
  • 2 Discrete regression models
  • 3 Probabilistic-choice models
  • 4 Discriminant analysis
  • 5 Multivariate qualitative variables
  • 6 Censored and truncated regression models
  • 7 Simultaneous-equations models with truncated and censored variables
  • 8 Two-stage estimation methods
  • 9 Models with self-selectivity
  • 10 Disequilibrium models
  • 11 Some applications: unions and wages
  • Appendix: Some results on truncated distributions
  • Bibliography
  • Index

Author notes provided by Syndetics

G. S. Maddala is a University Eminent Professor of Economics at Ohio State University. He attended Andhra University, Bombay University and the University of Chicago. <p> Maddala taught at the University of Florida, the University of Rochester, Stanford University, and Cornell University. <p> He contributed to The Handbook of Econometrics and authored Introduction of Econometrics. <p> (Bowker Author Biography)

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