ABSTRACT
This paper proposes a novel pre-processing technique to improve record linkage for historical Chinese populations. Current matching approaches are relatively ineffective due to Chinese-specific naming conventions and enumeration errors. This paper develops a three-step process that both triples the match rate over baseline and improves match accuracy. The procedures developed in this paper can be applied in part or in full to other sources of historical data, and/or modified for use with other character-based languages such as Japanese. More broadly, this approach suggests the promise of language-specific linkage procedures to boost match rates for ethnic minority groups.
ABSTRACT
An important class of active labor market policy has received little impact evaluation: immigration barriers intended to raise wages and employment by shrinking labor supply. Theories of endogenous technical advance raise the possibility of limited or even perverse impact. We study a natural policy experiment: the exclusion of almost half a million Mexican 'bracero' farm workers from the United States to improve farm labor market conditions. With novel archival data we measure state-level exposure to exclusion, and model the labor-market effect in the absence of technical change. We reject such an effect and fail to reject a null effect.
