Accurate old-age mortality projections for subnational areas are important for assessing health outcomes and valuing pension liabilities. However, subnational mortality data often face small sample sizes at older ages. In some countries, the underreporting of deaths and population numbers poses...

This article proposes a new model that combines a neural network with a generalized linear model (GLM) to estimate and predict health transition intensities. We introduce neural networks to health transition modeling to incorporate socioeconomic and lifestyle factors and to allow for linear and...

We propose a new model in a Bayesian hierarchical framework to project mortality at both national and subnational levels based on sparse or missing data. The new model, which has a country-region-province structure, uses common factors to pool information at the national level and within regions...

China has experienced large improvements in mortality rates, but there remain substantial variations at the provincial level. This paper develops new models to project mortality at both the national and provincial levels in China. We propose two models in a Bayesian hierarchical framework based...

We estimate selection and sorting effects on the evolution of the private return to schooling for college graduates during China's between 1988 and 2002. We pay special attention to the changing role of sorting by ability versus budget-constraint effects as China's education policy has changed...

We investigate the role of factor-priced-induced innovation in mediating the employment impact of expanding production in China. Our empirical approach implements concepts developed in Acemoglu (2010) and complements the approaches summarized by Wei, Xie, and Zhang (2017) that focus on directly...

We examine the mechanism by which human capital affects economic growth and convergence, using provincial level panel data from China. We specify alternative measures of human capital and apply them to an enhanced growth model which we estimate parametrically, nonparametrically, and with a...