Data and code for: Learning Curve: Progress in the Replication Crisis

Principal Investigator(s): View help for Principal Investigator(s) Noam Angrist, Youth Impact; University of Oxford; Claire Cullen, Youth Impact; University of Oxford; Michael Ainomugisha , Building Tomorrow; Sai Pramod Bathena, Alokit; Peter Bergman, University of Texas-Austin; Colin Crossley, Youth Impact; Thato Letsomo, Youth Impact; Moitshepi Matsheng, Youth Impact; Rene Marlon Panti, IPA Philippines; Shwetlena Sabarwal, World Bank; Tim Sullivan, NewGlobe

Version: View help for Version V1

Name	File Type	Size	Last Modified
Output			05/01/2023 03:07:PM
README.pdf	application/pdf	77 KB	05/01/2023 11:27:AM
accurate_targeting_country.dta	application/x-stata-dta	150.2 KB	05/01/2023 11:07:AM
accurate_targeting_week.dta	application/x-stata-dta	121.3 KB	05/01/2023 11:07:AM
main.do	text/plain	8.2 KB	05/01/2023 11:07:AM
operation_taught_all.dta	application/x-stata-dta	130.1 KB	05/01/2023 11:07:AM

Project Description

Summary:

We present detailed monitoring data across a five-country randomized trial of phone-based targeted tutoring – one of the largest multi-country replication efforts in education to date. We study an approach shown to work in Botswana and replicated in India, Kenya, Nepal, Philippines, and Uganda. While the existing literature often finds diminishing effects as proof-of-concept studies are replicated and scaled, we find the opposite: implementation fidelity (the degree of targeted educational instruction) improves across replications and over time. This demonstrates that replication is not intractable; rather, equipped with mechanisms to learn from experience, organizational “learning curves” can enable effective replication and scale-up.

Scope of Project

Subject Terms: Implementation Science; Replication; Education; Scalability

JEL Classification:
      I21 Analysis of Education
      I25 Education and Economic Development
      I28 Education: Government Policy
      J68 Mobility, Unemployment, and Vacancies: Public Policy

Geographic Coverage: Philippines, Botswana, Uganda, Nepal

Universe:

Primary school students and caregivers across Botswana, Nepal, Uganda and Philippines.

Data Type(s): event/transaction data; observational data; survey data

Methodology

Data Source: Survey and implementation data collected by authors and implementation partners.

Unit(s) of Observation: Household

Related Publications

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Published Versions

V1 [2023-05-05]

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Dublin Core

DDI 2.5

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