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Context Matters for Size: Why External Validity Claims and Development Practice Don't Mix-Working Paper 336

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  • Lant Pritchett, Justin Sandefur
Abstract
In this paper we examine how policymakers and practitioners should interpret the impact evaluation literature when presented with conflicting experimental and non-experimental estimates of the same intervention across varying contexts. We show three things. First, as is well known, non-experimental estimates of a treatment effect comprise a causal treatment effect and a bias term due to endogenous selection into treatment. When non-experimental estimates vary across contexts any claim for external validity of an experimental result must make the assumption that (a) treatment effects are constant across contexts, while (b) selection processes vary across contexts. This assumption is rarely stated or defended in systematic reviews of evidence. Second, as an illustration of these issues, we examine two thoroughly researched literatures in the economics of education—class size effects and gains from private schooling—which provide experimental and non-experimental estimates of causal effects from the same context and across multiple contexts. We show that the range of “true” causal effects in these literatures implies OLS estimates from the right context are, at present, a better guide to policy than experimental estimates from a different context. Third, we show that in important cases in economics, parameter heterogeneity is driven by economy- or institution-wide contextual factors, rather than personal characteristics, making it difficult to overcome external validity concerns through estimation of heterogeneous treatment effects within a single localized sample. We conclude with recommendations for research and policy, including the need to evaluate programs in context, and avoid simple analogies to clinical medicine in which “systematic reviews” attempt to identify best-practices by putting most (or all) weight on the most “rigorous” evidence with no allowance for context.

Suggested Citation

  • Lant Pritchett, Justin Sandefur, 2013. "Context Matters for Size: Why External Validity Claims and Development Practice Don't Mix-Working Paper 336," Working Papers 336, Center for Global Development.
  • Handle: RePEc:cgd:wpaper:336
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    1. What do 600 papers on 20 types of interventions tell us about how much impact evaluations generalize? Guest post by Eva Vivalt
      by Development Impact Guest Blogger in Development Impact on 2014-11-10 06:36:00

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    Cited by:

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    2. Hunt Allcott, 2012. "Site Selection Bias in Program Evaluation," NBER Working Papers 18373, National Bureau of Economic Research, Inc.
    3. Hanushek, Eric A., 2021. "Addressing cross-national generalizability in educational impact evaluation," International Journal of Educational Development, Elsevier, vol. 80(C).
    4. Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2021. "From Local to Global: External Validity in a Fertility Natural Experiment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 217-243, January.
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    6. Grossman, Guy & Humphreys, Macartan & Sacramone-Lutz, Gabriella, 2020. "Information Technology and Political Engagement: Mixed Evidence from Uganda," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 82(4), pages 1321-1336.
    7. Corduneanu-Huci, Cristina & Dorsch, Michael T. & Maarek, Paul, 2021. "The politics of experimentation: Political competition and randomized controlled trials," Journal of Comparative Economics, Elsevier, vol. 49(1), pages 1-21.
    8. Florent Bédécarrats & Isabelle Guérin & François Roubaud, 2015. "The gold standard for randomized evaluations: from discussion of method to political economy," Working Papers DT/2015/01, DIAL (Développement, Institutions et Mondialisation).
    9. Luis Andres & Christian Borja-Vega & Crystal Fenwick & Ronald Gomez-Suarez & Jaime De Jesus Filho, 2018. "A Brief Summary of Global WASH Interventions," World Bank Publications - Reports 29868, The World Bank Group.
    10. Muller, Sean, 2014. "Randomised trials for policy: a review of the external validity of treatment effects," SALDRU Working Papers 127, Southern Africa Labour and Development Research Unit, University of Cape Town.
    11. Andrews, Matt & Pritchett, Lant & Woolcock, Michael, 2017. "Building State Capability: Evidence, Analysis, Action," OUP Catalogue, Oxford University Press, number 9780198747482.
    12. Karthik Muralidharan & Venkatesh Sundararaman, 2013. "Contract Teachers: Experimental Evidence from India," NBER Working Papers 19440, National Bureau of Economic Research, Inc.
    13. Emmy De Buck & Karin Hannes & Hans Van Remoortel & Thashlin Govender & Axel Vande Veegaete & Alfred Musekiwa & Vittoria Lutje & Margaret Cargo & Hans‐Joachim Mosler & Philippe Vandekerckhove & Taryn Y, 2016. "PROTOCOL: Approaches to Promote Handwashing and Sanitation Behaviour Change in Low‐ and Middle Income Countries: A Mixed Method Systematic Review," Campbell Systematic Reviews, John Wiley & Sons, vol. 12(1), pages 1-46.
    14. Muralidharan, Karthik & Das, Jishnu & Holla, Alaka & Mohpal, Aakash, 2017. "The fiscal cost of weak governance: Evidence from teacher absence in India," Journal of Public Economics, Elsevier, vol. 145(C), pages 116-135.
    15. Clive Bell & Lyn Squire, 2017. "Providing Policy Makers with Timely Advice: The Timeliness-Rigor Trade-off," The World Bank Economic Review, World Bank, vol. 31(2), pages 553-569.
    16. Florent Bedecarrats & Isabelle Guérin & François Roubaud, 2017. "L'étalon-or des évaluations randomisées : du discours de la méthode à l'économie politique," Working Papers ird-01445209, HAL.
    17. Ngoc Thi Minh Tran & Michael P. Cameron & Jacques Poot, 2019. "What are migrants willing to pay for better home country institutions?," Letters in Spatial and Resource Sciences, Springer, vol. 12(3), pages 257-268, December.
    18. Rebecca Stone & Thomas de Hoop & Andrea Coombes & Pooja Nakamura, 2020. "What works to improve early grade literacy in Latin America and the Caribbean? A systematic review and meta‐analysis," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(1), March.
    19. Daido Kido, 2022. "Distributionally Robust Policy Learning with Wasserstein Distance," Papers 2205.04637, arXiv.org, revised Aug 2022.
    20. Das, Ashis & Friedman, Jed & Kandpal, Eeshani, 2014. "Does involvement of local NGOs enhance public service delivery ? cautionary evidence from a Malaria-prevention evaluation in India," Policy Research Working Paper Series 6931, The World Bank.
    21. Esterling, Kevin & Brady, David & Schwitzgebel, Eric, 2021. "The Necessity of Construct and External Validity for Generalized Causal Claims," OSF Preprints 2s8w5, Center for Open Science.
    22. Esterling, Kevin M. & Brady, David & Schwitzgebel, Eric, 2023. "The Necessity of Construct and External Validity for Generalized Causal Claims," I4R Discussion Paper Series 18, The Institute for Replication (I4R).
    23. Carinne Brody & Thomas de Hoop & Martina Vojtkova & Ruby Warnock & Megan Dunbar & Padmini Murthy & Shari L. Dworkin, 2015. "Economic Self‐Help group Programs for Improving Women's Empowerment: A Systematic Review," Campbell Systematic Reviews, John Wiley & Sons, vol. 11(1), pages 1-182.

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    More about this item

    Keywords

    external validity; treatment effects; policy evaluation; causal inference;
    All these keywords.

    JEL classification:

    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • I2 - Health, Education, and Welfare - - Education
    • O2 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy

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