Multilevel Regression and Poststratification in Stata

Maurizio Pisati () and Valeria Glorioso
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Maurizio Pisati: University of Milano-Bicocca
Valeria Glorioso: University of Milano-Bicocca

CHI11 Stata Conference from Stata Users Group

Abstract: Sometimes social scientists are interested in determining whether, and to what extent, the distribution of a given variable of interest Y varies across the categories of a second variable D. When the number of valid observations within one or more categories of D is small and/or collected data are affected by selection bias, relatively accurate estimates of E(Y|D) can be obtained by using a proper combination of multilevel regression modeling and poststratification, called the MrP approach (Gelman and Little 1997; Park, Gelman and Bafumi 2004; Lax and Phillips 2009). The purpose of this talk is to illustrate the main features and applications of -mrp-, a new user-written program that implements the MrP approach in Stata.

Date: 2011-07-20
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