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External and Internal Validity of a Geographic Quasi-Experiment Embedded in Cluster-Randomized Experiment

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  • Sebastian Galiani
  • Patrick J. McEwan
  • Brian Quistorff

Abstract

This paper analyzes a geographic quasi-experiment embedded in a cluster-randomized experiment in Honduras. In the experiment, average treatment effects on school enrollment and child labor were large—especially in the poorest blocks—and could be generalized to a policy-relevant population given the original sample selection criteria. In contrast, the geographic quasi-experiment yielded point estimates that, for two of three dependent variables, were attenuated. A judicious policy analyst without access to the experimental results might have provided misleading advice based on the magnitude of point estimates. We assessed two main explanations for the difference in point estimates, related to external and internal validity.

Suggested Citation

  • Sebastian Galiani & Patrick J. McEwan & Brian Quistorff, 2016. "External and Internal Validity of a Geographic Quasi-Experiment Embedded in Cluster-Randomized Experiment," NBER Working Papers 22468, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22468
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    References listed on IDEAS

    as
    1. Galiani, Sebastian & McEwan, Patrick J., 2013. "The heterogeneous impact of conditional cash transfers," Journal of Public Economics, Elsevier, vol. 103(C), pages 85-96.
    2. Sandra E. Black, 1999. "Do Better Schools Matter? Parental Valuation of Elementary Education," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 577-599.
    3. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    4. Oosterbeek, Hessel & Ponce, Juan & Schady, Norbert, 2008. "The impact of cash transfers on school enrollment : evidence from Ecuador," Policy Research Working Paper Series 4645, The World Bank.
    5. Keele, Luke & Titiunik, Rocío, 2016. "Natural Experiments Based on Geography," Political Science Research and Methods, Cambridge University Press, vol. 4(1), pages 65-95, January.
    6. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    7. Cameron, A. Colin & Gelbach, Jonah B. & Miller, Douglas L., 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 238-249.
    8. Yingying Dong & Arthur Lewbel, 2015. "Identifying the Effect of Changing the Policy Threshold in Regression Discontinuity Models," The Review of Economics and Statistics, MIT Press, vol. 97(5), pages 1081-1092, December.
    9. Keele, Luke J. & Titiunik, Rocío, 2015. "Geographic Boundaries as Regression Discontinuities," Political Analysis, Cambridge University Press, vol. 23(1), pages 127-155, January.
    10. Seán M. Muller, 2015. "Causal Interaction and External Validity: Obstacles to the Policy Relevance of Randomized Evaluations," The World Bank Economic Review, World Bank, vol. 29(suppl_1), pages 217-225.
    11. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    12. Matias Cattaneo & Sebastian Calonico & Rocio Titiunik, 2015. "Robust Inference in Regression-Discontinuity Designs," 2015 Stata Conference 16, Stata Users Group.
    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. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    15. Hunt Allcott, 2015. "Site Selection Bias in Program Evaluation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(3), pages 1117-1165.
    16. María Alzúa & Guillermo Cruces & Laura Ripani, 2013. "Welfare programs and labor supply in developing countries: experimental evidence from Latin America," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(4), pages 1255-1284, October.
    17. Ariel Fiszbein & Norbert Schady & Francisco H.G. Ferreira & Margaret Grosh & Niall Keleher & Pedro Olinto & Emmanuel Skoufias, 2009. "Conditional Cash Transfers : Reducing Present and Future Poverty," World Bank Publications - Books, The World Bank Group, number 2597.
    18. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
    19. Joseph Hotz, V. & Imbens, Guido W. & Mortimer, Julie H., 2005. "Predicting the efficacy of future training programs using past experiences at other locations," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 241-270.
    20. repec:oup:qjecon:v:129:y:2013:i:1:p:435-476 is not listed on IDEAS
    21. Joshua D. Angrist & Miikka Rokkanen, 2015. "Wanna Get Away? Regression Discontinuity Estimation of Exam School Effects Away From the Cutoff," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1331-1344, December.
    22. Buddelmeyer, Hielke & Skoufias, Emmanuel, 2003. "An Evaluation of the Performance of Regression Discontinuity Design on PROGRESA," IZA Discussion Papers 827, Institute of Labor Economics (IZA).
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    Cited by:

    1. Tarek Azzam & Michael Bates & David Fairris, 2019. "Do Learning Communities Increase First Year College Retention? Testing Sample Selection and External Validity of Randomized Control Trials," Working Papers 202002, University of California at Riverside, Department of Economics.
    2. Matias D. Cattaneo & Rocío Titiunik, 2022. "Regression Discontinuity Designs," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 821-851, August.
    3. Azzam, Tarek & Bates, Michael D. & Fairris, David, 2022. "Do learning communities increase first year college retention? Evidence from a randomized control trial," Economics of Education Review, Elsevier, vol. 89(C).
    4. Aepli, Manuel & Kuhn, Andreas & Schweri, Jürg, 2021. "Culture, norms, and the provision of training by employers: Evidence from the Swiss language border," Labour Economics, Elsevier, vol. 73(C).
    5. Molina Millán, Teresa & Macours, Karen & Maluccio, John A. & Tejerina, Luis, 2020. "Experimental long-term effects of early-childhood and school-age exposure to a conditional cash transfer program," Journal of Development Economics, Elsevier, vol. 143(C).
    6. Molina-Millan, Teresa & Macours, Karen & Maluccio, John A. & Tejerina, Luis, 2019. "The Long-Term Impacts of Honduras’ CCT Program: Higher Education and International Migration," IDB Publications (Working Papers) 9600, Inter-American Development Bank.

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    JEL classification:

    • O22 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis

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