Research methods

This Stata code implements the wild cluster bootstrap-t to compute t-stats of parameters of a linear regression model.

The goal of this paper is to develop formal tests to evaluate the relative in-sample performance of two competing, misspeci…ed non-nested models in the presence of possible data instability

We analyze new data from a randomized control trial conducted in Eritrea.

We provide a number of contributions of policy, practical and methodological interest to the study of the returns to educational qualifications in the presence of misreporting.

This module can be used within STATA to estimate the coffecients of the linear age−period−cohort (apc) model.

This paper studies single equation instrumental variable models of ordered choice in which explanatory variables may be endogenous.

We model individual demand for housing over the life-cycle, and show the aggregate implications of this behaviour.

Our primary aim is to develop and validate a population health metric for survey-based health assessment that combines information from both self-reported and observer-measured health indicators

Average and marginal returns to upper secondary schooling in Indonesia

In this paper, we analyze properties of the Continuous Updating Estimator (CUE) proposed by Hansen et al. (1996), which has been suggested as a solution to the finite sample bias problems of the two-step GMM estimator.

This paper examines the restrictions of revealed preference methods using an axiomatic characterization of a measure of predictive success..

We propose a method for modifying a given density forecast in a way that incorporates the information contained in theory-based moment conditions.

We develop a general framework for analyzing the usefulness of imposing parameter restrictions on a forecasting model.

We examine the "home bias" of knowledge spillovers (the idea that knowledge spreads more slowly over international boundaries than within them) as measured by the speed of patent citations.