Data
Most examples in this course use data from a real study. It evaluated the impact of Mindspark, a learning software, on children’s learning in after-school centers in Delhi, India.
Download the data
Anyone can use these files, whether you’re in the class, teaching a similar one, or learning on your own. Each opens in Excel, Google Sheets or R.
| File | What’s in it |
|---|---|
ms_blel_jpal_long.csv |
All 1,158 rows: one per student, per round |
ms_blel_jpal_baseline.csv |
The 619 students at baseline |
ms_blel_jpal_endline.csv |
The 539 students at endline |
codebook.csv |
What each of the 36 variables means |
README.txt |
Source, license and what we changed |
The data are deidentified: each student has a study ID, and no names.
These are the data sheets from the workbook used in EDUC 15 in Fall 2024. We saved them as CSV files and corrected two labels in the codebook. For the authors’ original files, see their replication package on openICPSR.
License
The data are © 2019 American Economic Association and licensed under CC BY 4.0. That’s different from the rest of this site: you may reuse and share them, including commercially, as long as you credit the authors. The data come with no warranty, and the authors aren’t connected with this course.
How to cite the data and the study
Muralidharan, Karthik, Abhijeet Singh, and Alejandro J. Ganimian. 2019. “Replication Data for: Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India.” Version 2. Nashville, TN: American Economic Association. Distributed by ICPSR, Ann Arbor, MI. https://doi.org/10.3886/E113192V2.
Muralidharan, Karthik, Abhijeet Singh, and Alejandro J. Ganimian. 2019. “Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India.” American Economic Review 109 (4): 1426–60. https://doi.org/10.1257/aer.20171112.