Counterfactual distributions in bivariate models : A conditional quantile approach

This paper proposes a methodology to incorporate bivariate models in numerical computations of counterfactual distributions. The proposal is to extend the works of Machado and Mata (2005) and Melly (2005) using the grid method to generate pairs of random variables. This contribution allows incorpora...

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Detalles Bibliográficos
Autores principales:	Alejo, Javier, Badaracco, Nicolás
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2015
Materias:	Ciencias Económicas Counterfactual distributions Grid method Income distribution Labor market Numeric integration Quantile regression
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/87327
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-87327
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Económicas Counterfactual distributions Grid method Income distribution Labor market Numeric integration Quantile regression
spellingShingle	Ciencias Económicas Counterfactual distributions Grid method Income distribution Labor market Numeric integration Quantile regression Alejo, Javier Badaracco, Nicolás Counterfactual distributions in bivariate models : A conditional quantile approach
topic_facet	Ciencias Económicas Counterfactual distributions Grid method Income distribution Labor market Numeric integration Quantile regression
description	This paper proposes a methodology to incorporate bivariate models in numerical computations of counterfactual distributions. The proposal is to extend the works of Machado and Mata (2005) and Melly (2005) using the grid method to generate pairs of random variables. This contribution allows incorporating the effect of intra-household decision making in counterfactual decompositions of changes in income distribution. An application using data from five latin american countries shows that this approach substantially improves the goodness of fit to the empirical distribution. However, the exercise of decomposition is less conclusive about the performance of the method, which essentially depends on the sample size and the accuracy of the regression model.
format	Articulo Articulo
author	Alejo, Javier Badaracco, Nicolás
author_facet	Alejo, Javier Badaracco, Nicolás
author_sort	Alejo, Javier
title	Counterfactual distributions in bivariate models : A conditional quantile approach
title_short	Counterfactual distributions in bivariate models : A conditional quantile approach
title_full	Counterfactual distributions in bivariate models : A conditional quantile approach
title_fullStr	Counterfactual distributions in bivariate models : A conditional quantile approach
title_full_unstemmed	Counterfactual distributions in bivariate models : A conditional quantile approach
title_sort	counterfactual distributions in bivariate models : a conditional quantile approach
publishDate	2015
url	http://sedici.unlp.edu.ar/handle/10915/87327
work_keys_str_mv	AT alejojavier counterfactualdistributionsinbivariatemodelsaconditionalquantileapproach AT badaracconicolas counterfactualdistributionsinbivariatemodelsaconditionalquantileapproach
bdutipo_str	Repositorios
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Counterfactual distributions in bivariate models : A conditional quantile approach

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