Skip Navigation

This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Pradhan, M.
Right arrow Articles by Ridder, G.
Right arrow Search for Related Content
Related Collections
Right arrow O15 - Human Resources; Human Development; Income Distribution; Migration
Right arrow O16 - Economic Development: Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 1998 International Bank for Reconstruction and Development / The World Bank

research-article

The Bolivian Social Investment Fund: An Analysis of Baseline Data for Impact Evaluation

Menno Pradhan, Laura Rawlings, and Geert Ridder

The Bolivian Social Investment Fund (SIF) is a financial institution that promotes sustainable investments in the social sectors, principally in the areas of health, education, and sanitation. This article shows how to use preintervention data collected for evaluating the SIF to improve the targeting of a program, to test the quality of the evaluation design, and to define corrective measures if necessary. It finds that among SIF interventions the benefits in education are distributed relatively equally over the population, while the investments in health and sanitation favor better-off communities.

The article contributes to the methods used to evaluate social investment funds and similar programs. It compares two types of evaluation designs to assess social investment fund interventions in the education sector. The authors demonstrate that a simple matched-comparison design introduces a bias in the estimate of the program effect, whereas an experimental design based on random assignment does not. With preintervention data, the analyst can select a quasi or indirect experiment, where the choice of the indirect experiment coincides with the selection of valid instrumental variables. The availability of preintervention data makes it possible to compare the two types of evaluation designs as well as to test the validity of the instruments and to determine the loss of efficiency due to the use of quasi-experimental techniques instead of random treatment assignment.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
AJPHHome page
A. Wagstaff, F. Bustreo, J. Bryce, M. Claeson, and the Who-World Bank Child Health and Poverty Workin
Child Health: Reaching the Poor
Am J Public Health, May 1, 2004; 94(5): 726 - 736.
[Abstract] [Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.