This paper analyzes urban-rural disparities of China's child health and nutritional status using the China Health and Nutrition Survey data from 1989 to 2006. We investigate degrees of health and nutritional disparities between urban and rural children in China as well as how such disparities...

This paper investigates the evolution of earnings inequality in urban China from 1989 to 2006. After decomposing the variance of log of earnings into transitory and permanent two parts, we find that both components are important contributors to the total variance of earnings. We also find that...

This paper assesses the dynamics of treatment effects arising from variation in the duration of training. We use German administrative data that have the extraordinary feature that the amount of treatment varies continuously from 10 days to 395 days (i.e. 13 months). This feature allows us to...

This paper estimates the causal effect of income on health outcomes of the elderly and investigates underlying mechanisms by exploiting an income change induced by the launch of China's New Rural Pension scheme (NRPS). Using this policy experiment, we address the endogeneity of pension income by...

We examine the causal impact of China's higher education expansion on labor market outcomes for young college graduates using China's 2005 1% Population Sample Survey. Exploiting variation in the expansion of university spots across provinces and high school cohorts and applying a...

China initiated its family planning policy in 1962 and one-child policy in 1980 and allows all couples to have two children as of 1st January, 2016. This paper systematically examines the labor market consequences of China's family planning policies. First, we briefly review the major historical...

We present the first systematic study on child labor in China. Child labor is not a negligible social phenomenon in China; about 7.74% of children aged from 10 to 15 were working in 2010, and they worked for 6.75 hours per day on average, and spent 6.42 hours less per day on study than other...

Propensity score matching estimators have two advantages. One is that they overcome the curse of dimensionality of covariate matching, and the other is that they are nonparametric. However, the propensity score is usually unknown and needs to be estimated. If we estimate it nonparametrically, we...