DFL: Stata module to estimate DiNardo, Fortin and Lemieux Counterfactual Kernel Density

Abstract

dfl estimates DiNardo, Fortin and Lemieux Counterfactual Kernel Densities. graph cfactual compares the (Depvar=0) distribution to the (Depvar=0) distribution that would have prevailed if they had been paid like (Depvar=1), ufactual compares the (Depvar=1) distribution to the counterfactual. These will be different to the extent that the X's of the two groups differ) and diff (difference between the how (Depvar=0) distribution that would have prevailed if they had been paid like (Depvar=1) and (Depvar=1) distribution). Some options require the use of Philippe van Kerm's akdensity routine from SJ (findit akdensity).

Suggested Citation

Joao Pedro Azevedo, 2005. "DFL: Stata module to estimate DiNardo, Fortin and Lemieux Counterfactual Kernel Density," Statistical Software Components S449001, Boston College Department of Economics, revised 21 Dec 2010.

Handle: RePEc:boc:bocode:s449001

References

DiNardo, J., N.M. Fortin, and T.Lemieux (1996) "Labour Market Insitutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, 64(5): 1001-1044.

Van Kerm, P. (2003) "Adaptive kernel density estimation."The Stata Journal , 3(2): 148-156.

Note:

This module should be installed from within Stata by typing "ssc install dfl". Windows users should not attempt to download these files with a web browser.

Keywords

kernel density; counterfactual; DiNardo; Fortin; Lemieux;

Author:

João Pedro Azevedo
jazevedo@worldbank.org
World Bank
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