IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Accounting for selection bias in impact analysis of a rural development program: An application using propensity score matching

  • Peralta, Maria Alexandra
  • Swinton, Scott M.
  • Maredia, Mywish K.

When evaluating the impact of a program, the effects of interventions on program outcomes must be measured against a valid counterfactual case. Constructing a valid counterfactual is especially important when experimental data is not available. Building a baseline ensuring that treatment and comparison groups are similar as well as identifying potential sources of bias are essential first steps towards constructing a valid counterfactual. This paper assesses the comparability of groups of participants and non-participants for conducting an impact evaluation of the Agriculture for Basic Needs (A4N) program in Nicaragua. We examine the degree of similarity between A4N participant and non-participant comparison households using propensity scores (estimated probability of program placement). Propensity scores are matched for the two groups, comparing results from using caliper matching and nearest neighbor matching without and with replacement. The analysis uses the pretreatment characteristics of households belonging to the treatment (participant) and comparison (non-participant) groups in order to verify whether the comparison group is statistically similar to the treatment group.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://purl.umn.edu/126398
Download Restriction: no

Paper provided by International Association of Agricultural Economists in its series 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil with number 126398.

as
in new window

Length:
Date of creation: 2011
Date of revision:
Handle: RePEc:ags:iaae12:126398
Contact details of provider: Web page: http://www.iaae-agecon.org/
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Chowa, Gina A.N. & Elliott III, William, 2011. "An asset approach to increasing perceived household economic stability among families in Uganda," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(1), pages 81-87, February.
  2. Rafael Lalive, 2006. "How do Extended Benefits Affect Unemployment Duration? A Regression Discontinuity Approach," CESifo Working Paper Series 1765, CESifo Group Munich.
  3. Boris E. Bravo‐Ureta & Alexandre Nunes Almeida & Daniel Solís & Aarón Inestroza, 2011. "The Economic Impact of Marena’s Investments on Sustainable Agricultural Systems in Honduras," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(2), pages 429-448, 06.
  4. Rajeev H. Dehejia & Sadek Wahba, 1998. "Propensity Score Matching Methods for Non-experimental Causal Studies," NBER Working Papers 6829, National Bureau of Economic Research, Inc.
  5. Buddelmeyer, Hielke & Skoufias, Emmanuel, 2003. "An Evaluation of the Performance of Regression Discontinuity Design on PROGRESA," IZA Discussion Papers 827, Institute for the Study of Labor (IZA).
  6. Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
  7. Heckman, James J. & Smith, Jeffrey A., 2003. "The Determinants of Participation in a Social Program: Evidence from a Prototypical Job Training Program," IZA Discussion Papers 798, Institute for the Study of Labor (IZA).
  8. Romina Cavatassi & Lina Salazar & Mario González‐Flores & Paul Winters, 2011. "How do Agricultural Programmes Alter Crop Production? Evidence from Ecuador," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(2), pages 403-428, 06.
  9. Jyotsna Jalan & Martin Ravallion, 2000. "Estimating the Benefit Incidence of an Antipoverty Program by Propensity Score Matching," Econometric Society World Congress 2000 Contributed Papers 0873, Econometric Society.
  10. Centeno, Luis & Centeno, Mário & Novo, Álvaro A., 2009. "Evaluating job-search programs for old and young individuals: Heterogeneous impact on unemployment duration," Labour Economics, Elsevier, vol. 16(1), pages 12-25, January.
  11. Ximena V. Del Carpio & Norman Loayza & Gayatri Datar, 2011. "Is Irrigation Rehabilitation Good for Poor Farmers? An Impact Evaluation of a Non‐Experimental Irrigation Project in Peru," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(2), pages 449-473, 06.
  12. Paul Schultz, T., 2004. "School subsidies for the poor: evaluating the Mexican Progresa poverty program," Journal of Development Economics, Elsevier, vol. 74(1), pages 199-250, June.
  13. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
  14. Klinger, Bailey & Schündeln, Matthias, 2011. "Can Entrepreneurial Activity be Taught? Quasi-Experimental Evidence from Central America," World Development, Elsevier, vol. 39(9), pages 1592-1610, September.
  15. Becerril, Javier & Abdulai, Awudu, 2010. "The Impact of Improved Maize Varieties on Poverty in Mexico: A Propensity Score-Matching Approach," World Development, Elsevier, vol. 38(7), pages 1024-1035, July.
  16. Scott E. Carrell & Mark Hoekstra & James E. West, 2010. "Does Drinking Impair College Performance? Evidence from a Regression Discontinuity Approach," NBER Working Papers 16330, National Bureau of Economic Research, Inc.
  17. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, June.
  18. Butcher, Kristin F. & McEwan, Patrick J. & Taylor, Corrine H., 2010. "The effects of quantitative skills training on college outcomes and peers," Economics of Education Review, Elsevier, vol. 29(2), pages 187-199, April.
  19. Ravallion, Martin, 2008. "Evaluating Anti-Poverty Programs," Handbook of Development Economics, Elsevier.
  20. Andrew Dillon, 2011. "Do Differences in the Scale of Irrigation Projects Generate Different Impacts on Poverty and Production?," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(2), pages 474-492, 06.
  21. David P. Coady & Susan W. Parker, 2009. "Targeting Performance under Self-selection and Administrative Targeting Methods," Economic Development and Cultural Change, University of Chicago Press, vol. 57(3), pages 559-587, 04.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:ags:iaae12:126398. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.