What differences a day can make: Quantile regression estimates of the distribution of daily learning gains

Michael S. Hayes; Seth Gershenson

doi:https://doi.org/10.1016/j.econlet.2016.01.023

What differences a day can make: Quantile regression estimates of the distribution of daily learning gains

Michael S. Hayes, Seth Gershenson

Public Policy and Administration

Rutgers, The State University

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Quantile regressions, which exploit quasi-random variation in days between kindergarten students' fall and spring tests, show that the effect of school days on kindergarten students' math and reading gains vary significantly, and monotonically, across the distribution of achievement gains.

Original language	American English
Pages (from-to)	48-51
Number of pages	4
Journal	Economics Letters
Volume	141
DOIs	https://doi.org/10.1016/j.econlet.2016.01.023
State	Published - Apr 1 2016

ASJC Scopus subject areas

Finance
Economics and Econometrics

Keywords

ECLS-K
Education production function
I2
Instructional time
Quantile regression
School year length

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https://doi.org/10.1016/j.econlet.2016.01.023

Cite this

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title = "What differences a day can make: Quantile regression estimates of the distribution of daily learning gains",

abstract = "Quantile regressions, which exploit quasi-random variation in days between kindergarten students' fall and spring tests, show that the effect of school days on kindergarten students' math and reading gains vary significantly, and monotonically, across the distribution of achievement gains.",

keywords = "ECLS-K, Education production function, I2, Instructional time, Quantile regression, School year length",

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What differences a day can make: Quantile regression estimates of the distribution of daily learning gains

Abstract

ASJC Scopus subject areas

Keywords

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