This paper examines alternative forms of match bias arising from earnings imputation. Wage equation parameters are … imputation match criteria (e.g., union status) are severely biased. Related forms of match bias arise with respect to attributes … used as match criteria, but matched imperfectly. For example, an imperfect match on schooling creates bias that flattens …

This paper examines alternative forms of match bias arising from earnings imputation. Wage equation parameters are … imputation match criteria (e.g., union status) are severely biased. Related forms of match bias arise with respect to attributes … used as match criteria, but matched imperfectly. For example, an imperfect match on schooling creates bias that flattens …

survey. Even if nonresponse is random, severe bias attaches to wage equation coefficient estimates on attributes not matched … other household members. -- response bias ; imputation ; earnings nonresponse ; gender gap ; CPS …

survey. Even if nonresponse is random, severe bias attaches to wage equation coefficient estimates on attributes not matched … other household members. -- response bias ; imputation ; earnings nonresponse ; gender gap ; CPS …

survey. Even if nonresponse is random, severe bias attaches to wage equation coefficient estimates on attributes not matched …

survey. Even if nonresponse is random, severe bias attaches to wage equation coefficient estimates on attributes not matched …

and correct for nonresponse bias. To do so, we examine a survey on labor market conditions during the COVID-19 pandemic … bias, even after correcting for observable differences between participants and nonparticipants. We apply a range of … existing methods that account for nonresponse bias due to unobserved differences, including worst-case bounds, bounds that …

bias. We study this using a unique dataset that combines survey information of individual workers with administrative … survey respondents and non-respondents. We develop a method to empirically distinguish between two explanations for a bias in … both explanations. We discuss implications for standard methods to deal with non-response bias …

to start the ethics approval process; and research transparency, including how to prevent publication bias and data …