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

Author

Listed:
  • Joao Pedro Azevedo

    (World Bank)

Programming Language

Stata

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
    Note: This module should be installed from within Stata by typing "ssc install dfl". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/d/dfl.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/d/dfl.hlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/_/_genx.ado
    File Function: program code
    Download Restriction: no
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    Citations

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    Cited by:

    1. Reichl Luthra, Renee, 2010. "Intergenerational returns to migration? Comparing educational performance on both sides of the German border," ISER Working Paper Series 2010-34, Institute for Social and Economic Research.
    2. Austin Nichols, 2007. "Causal inference with observational data," Stata Journal, StataCorp LP, vol. 7(4), pages 507-541, December.

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