Recentered influence functions in Stata: Methods for analyzing the determinants of poverty and inequality

Abstract

working paper no. 927 recentered influence functions in stata: methods for analyzing the determinants of poverty and inequality by fernando rios-avila levy economics institute of bard college april 2019 the levy economics institute working paper collection presents research in progress by levy institute scholars and conference participants. the purpose of the series is to disseminate ideas to and elicit comments from academics and professionals. levy economics institute of bard college, founded in 1986, is a nonprofit, nonpartisan, independently funded research organization devoted to public service. through scholarship and economic research it generates viable, effective public policy responses to important economic problems that profoundly affect the quality of life in the united states and abroad. levy economics institute p.o. box 5000 annandale-on-hudson, ny 12504-5000 www.levyinstitute.org copyright © levy economics institute 2019 all rights reserved issn 1547-366x 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 …

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