BLP-Lasso for Aggregate Discrete Choice Models of Elections with Rich Demographic Covariates

Benjamin J. Gillen, Sergio Montero, Hyungsik Roger Moon, Matthew Shum
2015 Social Science Research Network  
Economists often study consumers' aggregate behavior across markets choosing from a menu of differentiated products. In this analysis, local demographic characteristics can serve as controls for market-specific heterogeneity in product preferences. Given rich demographic data, implementing these models requires specifying which variables to include in the analysis, an ad hoc process typically guided primarily by a researcher's intuition. We propose a data-driven approach to estimate these
more » ... applying penalized estimation algorithms imported from the machine learning literature along with confidence intervals that are robust to variable selection. Our application explores the effect of campaign spending on vote shares in data from Mexican elections.
doi:10.2139/ssrn.2703602 fatcat:crrkxysrubhefnoyolnlpgfcby