Lottery-Based Evaluations of Early Education Programs: Opportunities and Challenges for Building the Next Generation of Evidence

Media type: E-Book

Title: Lottery-Based Evaluations of Early Education Programs : Opportunities and Challenges for Building the Next Generation of Evidence

Contributor: Weiland, Christina [Author]; Unterman, Rebecca [Author]; Dynarski, Susan M. [Author]; Abenavoli, Rachel [Author]; Bloom, Howard S. [Author]; Braga, Breno [Author]; Faria, Ann-Marie [Author]; Greenberg, Erica H. [Author]; Jacob, Brian Aaron [Author]; Lincove, Jane Arnold [Author]; Manship, Karen [Author]; McCormick, Meghan [Author]; Miratrix, Luke [Author]; Monarrez, Tomás E. [Author]; Morris-Perez, Pamela [Author]; Shapiro, Anna [Author]; Valant, Jon [Author]; Weixler, Lindsay [Author]

Corporation: National Bureau of Economic Research

Published: Cambridge, Mass: National Bureau of Economic Research, February 2023

Extent: 1 Online-Ressource; illustrations (black and white)

Language: English

Keywords: Frühkindliche Bildung ; Bildungsökonomik ; General ; Analysis of Education ; Arbeitspapier ; Graue Literatur

Reproduction note: Hardcopy version available to institutional subscribers

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Description: Lottery-based identification strategies offer potential for generating the next generation of evidence on U.S. early education programs. Our collaborative network of five research teams applying this design in early education and methods experts has identified six challenges that need to be carefully considered in this next context: 1) available baseline covariates may not be very rich; 2) limited data on the counterfactual; 3) limited and inconsistent outcome data; 4) weakened internal validity due to attrition; 5) constrained external validity due to who competes for oversubscribed programs; and 6) difficulties answering site-level questions with child-level randomization. We offer potential solutions to these six challenges and concrete recommendations for the design of future lottery-based early education studies

Access State: Open Access

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