This paper empirically estimates the returns to membership of the Chinese Communist Party using unique twins data that the authors collected from urban China. Our ordinary least squares estimate shows that being a Party member increases earnings by 28.1 percent, but when we use a...

In interpreting the positive relationship between spousal education and one's earnings, economists have two major hypotheses: cross-productivity between couples and assortative mating. However, no prior empirical study has been able to separate the two effects. This paper empirically...

This paper empirically estimates the returns to education using twins data that the authors collected from urban China. Our ordinary least-squares estimate shows that one year of schooling increases an individual¡¦s earnings by 8.4 percent. However, once we use the within-twin-pair fixed...

Spousal education is correlated with earnings for two reasons: cross-productivity between couples and assortative mating. This article empirically disentangles the two effects by using Chinese twins data. We have two innovations: using twins data to control for the unobserved mating effect in...

This paper estimates the returns to membership of the Chinese Communist Party using unique twins data we collected from China. Our OLS estimate shows that being a Party member increases earnings by 10%, but the within-twin-pair estimate becomes zero. One interpretation of these results is that...

This paper examines the determinants of child educational attainment.\r\nIn addition to those examined in previous studies, it is found that maternal\r\nchildcare is another important determinant of child educational\r\nattainment. The results are robust after controlling for endogeneity....

This article investigates why many eligible for welfare do not participate. We show that on-the-job wage-rising potential is the key factor motivating nonparticipation. Although individuals with very low earnings and little wage-rising potential are typically welfare recipients, those with good...