Abstract
This article analyzes wage differentials between standard and nonstandard workers. Often, a simple comparison of the wages of standard workers and non-standard workers is made, but this ignores the attributes of workers and businesses, so even if there is a wage gap, it is a mistake to regard all of them as depending on the type of employment. Average treatment effect models are estimated by propensity score weighting and matching. But two estimation results for ATT are not consistent. This result clearly shows how difficult the selection of covariates is.
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