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

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

Content Provider	Scilit
Author	Avila, Fernando Rios
Copyright Year	2019
Description	Journal: SSRN Electronic Journal 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).
Related Links	https://www.econstor.eu/bitstream/10419/209170/1/1664535985.pdf https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=3378811
ISSN	10914358
e-ISSN	15565068
DOI	10.2139/ssrn.3378811
Journal	SSRN Electronic Journal
Language	English
Publisher	Elsevier BV
Publisher Date	2019-04-26
Access Restriction	Open
Subject Keyword	Journal: SSRN Electronic Journal Mathematical Social Sciences Recentered Influence Functions Unconditional Partial Effects Unconditional Quantile Regression Distributional Statistics Rif Decomposition
Content Type	Text
Resource Type	Article
Subject	Public Health, Environmental and Occupational Health Psychiatry and Mental Health

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