M
Michael Kremer
Researcher at Harvard University
Publications - 324
Citations - 33149
Michael Kremer is an academic researcher from Harvard University. The author has contributed to research in topics: Population & Incentive. The author has an hindex of 78, co-authored 294 publications receiving 29375 citations. Previous affiliations of Michael Kremer include National Bureau of Economic Research & Center for Global Development.
Papers
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Journal ArticleDOI
Acroparaesthesiae in the carpal-tunnel syndrome.
ReportDOI
Long-term consequences of secondary school vouchers : evidence from administrative records in Colombia
Joshua D. Angrist,Joshua D. Angrist,Joshua D. Angrist,Eric Bettinger,Eric Bettinger,Michael Kremer +5 more
TL;DR: A gender impact evaluation study on the long-term consequences of secondary school vouchers was conducted in Colombia as mentioned in this paper, showing that the program results in a substantial gain in both high school graduation rates and achievement as a result of the voucher program.
Journal ArticleDOI
Education as Liberation
TL;DR: In this paper, the authors studied the political and social impacts of increased education by utilizing a randomized girls' merit scholarship program in Kenya that raised test scores and secondary schooling and found that the programme reduced the acceptance of domestic violence and political authority.
Posted Content
Decentralization: A cautionary tale
TL;DR: The authors argue that the system creates incentives for local communities to build too many small schools; to spend too much on teachers relative to non-teacher inputs; and to set school fees that exceed those preferred by the median voter and prevent many children from attending school.
ReportDOI
Using Randomization in Development Economics Research: A Toolkit
TL;DR: In this article, the authors present a practical guide for researchers, students and practitioners wishing to introduce randomization as part of a research design in the field, including the rationale for the use of randomization, as a solution to selection bias and a partial solution to publication biases.