Code for: Not too late: Improving academic outcomes among adolescents

Principal Investigator(s): View help for Principal Investigator(s) Jonathan Guryan, Northwestern University; Jens Ludwig, University of Chicago. Harris School of Public Policy; Monica P. Bhatt, University of Chicago. Education Lab; Philip J. Cook, Duke University. Sanford School of Public Policy; Jonathan M. V. Davis, University of Oregon; Kenneth A. Dodge, Duke University. Sanford School of Public Policy; George Farkas, University of California-Irvine; Roland G. Fryer, Harvard University. Department of Economics; Susan E. Mayer, University of Chicago. Harris School of Public Policy; Harold A. Pollack, University of Chicago. School of Social Service Administration; Laurence Steinberg, Temple University. Department of Psychology; Greg Stoddard, University of Chicago. Crime Lab

Version: View help for Version V1

Name	File Type	Size	Last Modified
predict_test_score_for_CPS			11/11/2022 10:34:PM
predict_test_score_for_match			11/11/2022 10:34:PM
makefile	text/plain	193 bytes	11/11/2022 05:33:PM

Project Description

Summary: Improving academic outcomes for economically disadvantaged students has proven challenging, particularly for children at older ages. We present two large-scale randomized controlled trials of a high-dosage tutoring program delivered to secondary school students in Chicago. One innovation is to use paraprofessional tutors to hold down cost, thereby increasing scalability. Participating in math tutoring increases math test scores by 0.18 to 0.40 standard deviations, and increases math and non-math course grades. These effects persist into future years. The data are consistent with increased personalization of instruction as a mechanism. The benefit-cost ratio is comparable to many successful early-childhood programs

Scope of Project

Subject Terms: education; tutoring; poverty; inequality; randomized control trial

JEL Classification:
      H00 Public Economics: General
      I00 Health, Education, and Welfare: General
      I20 Education and Research Institutions: General
      I24 Education and Inequality
      I30 Welfare, Well-Being, and Poverty: General
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      Z18 Cultural Economics: Public Policy

Geographic Coverage: Chicago, Illinois, USA

Universe: High school students in economically disadvantaged urban communities

Data Type(s): administrative records data

Methodology

Unit(s) of Observation: High school students

Related Publications

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Published Versions

V1 [2023-02-17]

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DDI 2.5

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