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John N. Friedman

Researcher at Brown University

Publications -  66
Citations -  9346

John N. Friedman is an academic researcher from Brown University. The author has contributed to research in topics: Earnings & Taxable income. The author has an hindex of 30, co-authored 65 publications receiving 7703 citations. Previous affiliations of John N. Friedman include Northwestern University & Harvard University.

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Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates

TL;DR: In this article, the authors test for bias in value-added measures using previously unobserved parent characteristics and a quasi-experimental design based on changes in teaching sta¤.
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How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star

TL;DR: It is demonstrated that kindergarten test scores are highly correlated with outcomes such as earnings at age 27, college attendance, home ownership, and retirement savings, and it is documented that students in small classes are significantly more likely to attend college and exhibit improvements on other outcomes.
Journal ArticleDOI

How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star

TL;DR: In Project STAR, 11,571 students in Tennessee and their teachers were randomly assigned to classrooms within their schools from kindergarten to third grade as discussed by the authors, and the experimental data was linked to administrative records.
Journal ArticleDOI

Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood

TL;DR: In this paper, a lack of evidence on whether teachers' impacts on students' test scores (value-added) is a good measure of their quality has been raised, and the question has sparked debate partly because of a lack-of-evidence on whether high value-ad...
ReportDOI

The Long-Term Impacts of Teachers: Teacher Value-Added and Student Outcomes in Adulthood

TL;DR: This paper found no evidence of bias in VA estimates using previously unobserved parent characteristics and a quasi-experimental research design based on changes in teaching staff, concluding that good teachers create substantial economic value and that test score impacts are helpful in identifying such teachers.