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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.

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Two-Stage Least Squares Estimation of Average Causal Effects in Models with Variable Treatment Intensity

TL;DR: This paper used two-stage least squares (TSLS) to estimate the average causal effect of variable treatments such as drug dosage, hours of exam preparation, cigarette smoking, and years of schooling.
Posted Content

Children and Their Parents' Labor Supply: Evidence from Exogenous Variation in Family Size

TL;DR: This paper used a new instrumental variable, the sex composition of the first two births in families with at least two children, to estimate the effect of additional children on parents' labor supply.
Posted Content

Using Maimonides' Rule to Estimate the Effect of Class Size on Student Achievement

TL;DR: In this article, the effect of class size on student achievement has been investigated in the context of test scores of Israeli 4th and 5th graders and 3rd graders.
ReportDOI

Children and their parents labor supply: evidence from exogenous variation in family size.

TL;DR: This article used a new instrumental variable the sex composition of the first two births in families with at least two children to estimate the effect of additional children on parents labor supply in the United States, and found that married women who have a third child reduce their labor supply by as much as women in the full sample while there is no relationship between wives childbearing and husbands labor supply.
Posted Content

The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics

TL;DR: This article 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.