Individual food choices and consumption are closely relating to one's diet, nutrition, and health. Using the case of alcoholic beverages, this study extends the random-utility framework by incorporating genetic information into consumer demand models, and demonstrates the significant impact of...

This paper studies robust and optimal estimation of the slope coefficients in a partially linear instrumental variables model with nonparametric partial identification. We establish the root-n asymptotic normality of a penalized sieve minimum distance estimator of the slope coefficients. We show...

This article estimates the causal effect of primary school entry age on children's cognitive development in rural northwestern China, using data on nearly 1,800 primary school aged children from the Gansu Survey of Children and Families. Instrumental variable estimates, exploiting the...

This paper develops estimation and inference methods for conditional quantile factor models. We first introduce a simple sieve estimation, and establish asymptotic properties of the estimators under large $N$. We then provide a bootstrap procedure for estimating the distributions of the...

This paper develops a general framework for estimation of high-dimensional conditional factor models via nuclear norm regularization. We establish large sample properties of the estimators, and provide an efficient computing algorithm for finding the estimators as well as a cross validation...

An analysis of the Young Lives data collected in 2006, involving a younger cohort (aged 5) and an older cohort (aged 12), yields three important findings regarding the Kinh – ethnic minority gaps in mathematics and reading skills in Vietnam. First, large disparities exist even before children...

This paper develops a general framework for conducting inference on the rank of an unknown matrix Π0. A defining feature of our setup is the null hypothesis of the form . The problem is of first‐order importance because the previous literature focuses on by implicitly assuming away , which...