Matching on Proxy Variables
نویسندگان
چکیده
The method of matching critically relies on the assumption of conditional independence. When the conditioning variables are mismeasured, conditional independence does not hold for matching on measured variables, and matching estimators are biased. With multiple measurements on the mismeasured variables, average treatment e ects can be partially or fully identi ed using factor models, depending on the quality of the proxies. Traditional normalizations in factor analysis are not needed for identi ability.
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تاریخ انتشار 2011