Quasi-randomization by survey date for policy analysis

Kimin Kim and Myoung-jae Lee

Oxford Economic Papers, 2023, vol. 75, issue 2, 507-525

Abstract: In annual surveys, the interview dates are scattered over several months. When a policy takes place during the survey period, quasi-randomized data may be obtained, if individuals interviewed before and after the policy timing are similar. The policy effect can be found with a before–after difference, which is ‘Quasi-Randomization by Survey date (QRS)’. QRS may be viewed as an regression discontinuity (RD) with time as the running variable. When seasonality is present, the RD-style estimator fails, but we develop a difference-in-differences style estimator, which relies on a weaker assumption analogous to parallel trends that controls for sesonality. We provide an empirical example using Korea Labor and Income Panel Study data for a weekly work-hour reduction law in 2004 from 44 to 40 h. We find that the law effect is about 2 h reduction, not 4 h as the law stipulates.

JEL-codes: C21 C23 J22 J88 (search for similar items in EconPapers)
Date: 2023
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