Sharp bounds on heterogeneous individual treatment responses

Jinhyun Lee

    Research output: Working paper

    3 Downloads (Pure)


    This paper discusses how to identify individual-specific causal effects of an ordered discrete endogenous variable. The counterfactual heterogeneous causal information is recovered by identifying the partial differences of a structural relation. The proposed refutable nonparametric local restrictions exploit the fact that the pattern of endogeneity may vary across the level of the unobserved variable. The restrictions adopted in this paper impose a sense of order to an unordered binary endogeneous variable. This allows for a unified structural approach to studying various treatment effects when self-selection on unobservables is present. The usefulness of the identification results is illustrated using the data on the Vietnam-era veterans. The empirical findings reveal that when other observable characteristics are identical, military service had positive impacts for individuals with low (unobservable) earnings potential, while it had negative impacts for those with high earnings potential. This heterogeneity would not be detected by average effects which would underestimate the actual effects because different signs would be cancelled out. This partial identification result can be used to test homogeneity in response. When homogeneity is rejected, many parameters based on averages may deliver misleading information.
    Original languageEnglish
    PublisherUniversity of St Andrews
    Number of pages45
    Publication statusPublished - 2013

    Publication series

    NameSchool of Economics & Finance Discussion Paper 1310
    PublisherUniversity of St. Andrews
    ISSN (Print)0962-4031
    ISSN (Electronic)2055-303X


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