Abstract

This study presents a survey-based method for conducting inference into the determinants of sensitive political behavior. The approach combines two well-established literatures in statistical methods in the social sciences: the randomized response (RR) methodology utilized to reduce evasive answer bias and the generalized propensity score methodology utilized to draw inferences about causal effects in observational studies. The approach permits one to estimate the causal impact of a multivalued predictor variable of interest on a given sensitive behavior in the face of unknown interaction effects between the predictor and the confounders as well as nonlinearities in the relationship between the confounders and the sensitive behavior. Simulation results point to the superior performance of the RR relative to direct survey questioning using this method for samples of moderate to large size. The utility of the approach is illustrated through an application to corruption in the public bureaucracy in three countries in South America.

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