ATTENTION/WARNING - NE PAS DÉPOSER ICI/DO NOT SUBMIT HERE

Ceci est la version de TEST de DIAL.mem. Veuillez ne pas soumettre votre mémoire sur ce site mais bien à l'URL suivante: 'https://thesis.dial.uclouvain.be'.
This is the TEST version of DIAL.mem. Please use the following URL to submit your master thesis: 'https://thesis.dial.uclouvain.be'.
 

Ultra-Poor BRAC Graduation Program: a Bayesian Hierarchical Modeling Impact Evaluation

De Bundel, Florian
(2021)

Files

DeBundel_87691900_2021.pdf
  • Open access
  • Adobe PDF
  • 4.21 MB
Download
DeBundel_87691900_2021_Appendix1.zip
  • Open access
  • Unknown
  • 6.25 MB
Download

Details

Supervisors
Parienté, William
Faculty
Faculté des sciences économiques, sociales, politiques et de communication
Degree label
Master [120] en sciences économiques, orientation générale, à finalité spécialisée
Abstract
What is the average impact of the BRAC Ultra-Poor Graduation program? Despite numerous impact studies, the debate remains partly unsettled because of the important heterogeneity in program effects across different places. In this thesis, I apply Bayesian Hierarchical Modeling on a dataset that includes six Graduation pilots to jointly estimate this heterogeneity and the average effects of the intervention. I find an important true variability in effect across places and use it to estimate the realistic average impact as well as site-specific program effect. I find that the cross-pilots effectiveness of the intervention is not as statistically significative as previously thought. The analysis highlights the limited external validity of the site effect estimates.

Citations

  • APA

De Bundel, F. (2021). Ultra-Poor BRAC Graduation Program: a Bayesian Hierarchical Modeling Impact Evaluation. https://dial-mem.test.bib.ucl.ac.be/handle/2078.2/25845