We develop and estimate a model of student study time on a social network. The model is designed to exploit unique data collected in the Berea Panel Study. Study time data allow us to quantify an intuitive mechanism for academic social interactions: own study time may depend on friend study time...

Difference in differences methods have become very popular in applied work. This paper provides a new method for inference in these models when there are a small number of policy changes. This situation occurs in many implementations of these estimators. Identification of the key parameter...

We develop and estimate a model of student study time on a social network. The model is designed to exploit unique data collected in the Berea Panel Study. Study time data allow us to quantify an intuitive mechanism for academic social interactions: own study time may depend on friend study time...

Difference in differences methods have become very popular in applied work. These models are typically quite easy to implement and to interpret. However, performing inference with these models is not. This paper addresses one particular aspect that is likely to be very important in most...

This paper examines whether spillovers from local market human capital are important in explaining the distribution of productivity across Malaysia. We develop an empirical method for describing local human capital distributions based on the idea that spillovers are limited in scope by costs of...

In this paper we develop new estimation methods for identifying causal effects based on the idea that the amount of selection on the observed explanatory variables in a model provides a guide to the amount of selection on the unobservables. Our approach involves the use of factor model as a way...