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Lottery-Based Evaluations of Early Education Programs: Opportunities and Challenges for Building the Next Generation of Evidence. Working Paper 30970

Authors :
National Bureau of Economic Research (NBER)
Weiland, Christina
Unterman, Rebecca
Dynarski, Susan
Abenavoli, Rachel
Bloom, Howard
Braga, Breno
Faria, Ann-Marie
Greenberg, Erica H.
Jacob, Brian
Arnold Lincove, Jane
Manship, Karen
McCormick, Meghan
Miratrix, Luke
Monarrez, Tomás E.
Morris-Perez, Pamela
Shapiro, Anna
Valant, Jon
Weixler, Lindsay
Source :
National Bureau of Economic Research. 2023.
Publication Year :
2023

Abstract

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.

Details

Language :
English
Database :
ERIC
Journal :
National Bureau of Economic Research
Publication Type :
Report
Accession number :
ED627614
Document Type :
Reports - Research