J
Joshua D. Angrist
Researcher at Massachusetts Institute of Technology
Publications - 311
Citations - 64677
Joshua D. Angrist is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Instrumental variable & Earnings. The author has an hindex of 89, co-authored 304 publications receiving 59505 citations. Previous affiliations of Joshua D. Angrist include Hebrew University of Jerusalem & Boston University.
Papers
More filters
Journal ArticleDOI
Semiparametric Estimates of Monetary Policy Effects: String Theory Revisited
TL;DR: This paper developed flexible semiparametric time series methods for the estimation of the causal effect of monetary policy on macroeconomic aggregates, which captures the average causal response to discrete policy interventions in a macrodynamic setting without the need for assumptions about the process generating macroeconomic outcomes.
Posted Content
Instrumental Variables Estimation of Average Treatment Effects in Econometrics and Epidemiology
TL;DR: In this paper, the authors present necessary and sufficient conditions for linear instrumental variables to consistently estimate average treatment effects in qualitative or other nonlinear models, and present Monte Carlo evidence on the bias of instrumental estimates of the average treatment effect in a bivariate probit model.
Posted Content
Effects of Work-Related Absences on Families: Evidence from the Gulf War
TL;DR: This paper found that deployments of a male soldier reduced wives' employment rates, probably because of added child care responsibilities, but female deployment was associated with significantly higher post-deployment divorce rates.
Journal ArticleDOI
Short-run demand for Palestinian labor
TL;DR: In this paper, a model of the West Bank and Gaza Strip labor market is used to evaluate the effect of policies governing Palestinian access to the Israeli labor market, and the authors interpret changing location differentials in response to exogenous shocks as movements along an Israeli demand curve for migrant workers.
Journal ArticleDOI
The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con Out of Econometrics
TL;DR: The authors reviewed progress in empirical economics since Leamer's critique and pointed out that the credibility revolution in empirical work can be traced to the rise of a design-based approach that emphasizes the identification of causal effects.