Tanzania Field Experiment Data on Participatory Teaching Outcomes

Harvard Dataverse hosts a replication package for a field experiment on participatory teaching in Tanzania. The package contains anonymized teacher-, student-, classroom-, and school-level datasets with self-documenting variable labels. It includes all code and data needed to reproduce experimental results, difference-in-differences estimates, and external validity analyses from the associated paper.

Use Cases

• Reproduce experimental results and difference-in-differences estimates using the provided teacher- and student-level datasets.
• Conduct external validity analyses with the included school-level and classroom-level data.
• Run the provided Stata analysis scripts to generate survey- and classroom-based analyses from the anonymized data.

Strengths

• Data is fully anonymized across teacher, student, classroom, and school levels.
• The package is self-documenting with variable labels for clarity.
• Includes complete analysis scripts for replicating all tables and figures from the published paper.

Limitations

• The specific number of rows, columns, and file size are unknown.
• Data scope is limited to the specific field experiment in Tanzania, limiting generalizability.
• Requires Stata 17 or higher to run the master do-file for full replication.

Provenance

Source

Harvard Dataverse, from authors Martina Jakob, Konstantin Büchel, Daniel Steffen, and Aymo Brunetti.

Collection Method

Collected via a field experiment on participatory teaching methods.

Freshness

Last updated on 2026-01-22.

Geography

Tanzania.