Tipo: materialTypeLabelLibro - General
Ubicación Física: 330.015195 / C182

Microeconometrics using stata /

Autor: Cameron, Adrian Colin.
Otros Autores: Trivedi, Pravin K., 1943-.
Pié de imprenta: College Station, Texas : Stata Press, 2009.
Descripción: 706 p. il., gráficas y tablas.
ISBN: 9781597180733.
Tema(s):
Resumen: Aimed at both students and researchers of economics and related social sciences, Microeconometrics Using Stata, Revised Edition provides the most complete and up-to-date survey of microeconometric methods available in Stata, including linear regression, simulation, instrumental-variables estimation, quantile regression, random and fixed-effects models, linear mixed models, analytical and bootstrap inference, and nonlinear models for binary, multinomial, censored, and count outcomes for both cross-sectional and panel datasets. This revised edition incorporates new features added in 11 that make it easier to implement methods presented in the original edition of the book factor variables, the margins command for marginal effects, and the gmm command.

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Libro - General Libro - General BIBLIOTECA SEDE LA CARO Colección General 330.015195 / C182 (Navegar estantería(Abre debajo)) Ej. 1 Disponible (Acceso Libre) 47438
Libro - General Libro - General BIBLIOTECA SEDE LA CARO Colección General 330.015195 / C182 (Navegar estantería(Abre debajo)) Ej. 2 Disponible (Acceso Libre) 47439

Economía

Aimed at both students and researchers of economics and related social sciences, Microeconometrics Using Stata, Revised Edition provides the most complete and up-to-date survey of microeconometric methods available in Stata, including linear regression, simulation, instrumental-variables estimation, quantile regression, random and fixed-effects models, linear mixed models, analytical and bootstrap inference, and nonlinear models for binary, multinomial, censored, and count outcomes for both cross-sectional and panel datasets. This revised edition incorporates new features added in 11 that make it easier to implement methods presented in the original edition of the book factor variables, the margins command for marginal effects, and the gmm command.

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