Recentered Influence Functions in Stata: Methods for Analyzing the Determinants of Poverty and Inequality

Levy Economics Institute, Working Paper 927 (2019)

42 Pages Posted: 10 May 2019

See all articles by Fernando Rios Avila

Fernando Rios Avila

Bard College - The Levy Economics Institute

Date Written: April 26, 2019

Abstract

Recentered influence functions (RIFs) are statistical tools popularized by Firpo, Fortin, and Lemieux (2009) for analyzing unconditional partial effects on quantiles in a regression analysis framework (unconditional quantile regressions). The flexibility and simplicity of these tools has opened the possibility of extending the analysis to other distributional statistics using linear regressions or decomposition approaches. In this paper, I introduce three Stata commands to facilitate the use of RIFs in the analysis of outcome distributions: rifvar() is an egen extension used to create RIFs for a large set of distributional statistics; rifhdreg facilitates the estimation of RIF regressions, enabling the use of high-dimensional fixed effects; and oaxaca_rif to implement Oaxaca-Blinder type decomposition analysis (RIF decompositions).

Keywords: Recentered Influence Functions, Unconditional Partial Effects, Unconditional Quantile Regression, RIF Regressions, Distributional Statistics, OaxacaBlinder, RIF Decomposition

JEL Classification: C13, C18, I14, I30, J31

Suggested Citation

Rios Avila, Fernando, Recentered Influence Functions in Stata: Methods for Analyzing the Determinants of Poverty and Inequality (April 26, 2019). Levy Economics Institute, Working Paper 927 (2019), Available at SSRN: https://ssrn.com/abstract=3378811 or http://dx.doi.org/10.2139/ssrn.3378811

Fernando Rios Avila (Contact Author)

Bard College - The Levy Economics Institute ( email )

Blithewood, Bard College
Annandale, NY 12504-5000
United States

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