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The politics of experimentation: Political competition and randomized controlled trials

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  • Corduneanu-Huci, Cristina
  • Dorsch, Michael T.
  • Maarek, Paul

Abstract

This paper provides an analysis of how political factors affect the incidence of the evaluation of public policies, with a focus on Randomized Control Trial (RCT) experiments in international development. We argue that political environments where incumbents face greater electoral competition and smaller ruling margins are more likely to host RCT experiments. Using various data sources for the incidence of RCTs both at the cross-country level and at the sub-national level in India, we find that RCTs are more likely to occur in politically competitive jurisdictions. We employ fixed effects regressions using various estimators and an instrumental variable strategy that exploits an electoral reform in India which limited the entry of independent candidates and exogenously affected the degree of electoral competition in state-level politics. The effect seems concentrated on RCTs that have the government as a partner, suggesting that political competition has an important demand-side effect on the incidence of RCTs.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jcecon:v:49:y:2021:i:1:p:1-21
    DOI: 10.1016/j.jce.2020.09.002
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    1. 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.
    2. Abhijit Banerjee & Rukmini Banerji & James Berry & Esther Duflo & Harini Kannan & Shobhini Mukerji & Marc Shotland & Michael Walton, 2017. "From Proof of Concept to Scalable Policies: Challenges and Solutions, with an Application," Journal of Economic Perspectives, American Economic Association, vol. 31(4), pages 73-102, Fall.
    3. Angus Deaton, 2009. "Instruments of development: Randomization in the tropics, and the search for the elusive keys to economic development," Working Papers 1128, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
    4. Bouguen, Adrien & Huang, Yue & Kremer, Michael & Miguel, Edward, 2018. "Using Rcts to Estimate Long-Run Impacts in Development Economics," Department of Economics, Working Paper Series qt4sk6c4f7, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    5. 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.
    6. Leonard Wantchekon, 2003. "Clientelism and voting behavior: Evidence from a field experiment in benin," Natural Field Experiments 00339, The Field Experiments Website.
    7. Abhijit V. Banerjee & Esther Duflo, 2014. "Do Firms Want to Borrow More? Testing Credit Constraints Using a Directed Lending Program," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 572-607.
    8. Bruno, Giovanni S.F., 2005. "Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models," Economics Letters, Elsevier, vol. 87(3), pages 361-366, June.
    9. Karthik Muralidharan & Paul Niehaus & Sandip Sukhtankar, 2016. "Building State Capacity: Evidence from Biometric Smartcards in India," American Economic Review, American Economic Association, vol. 106(10), pages 2895-2929, October.
    10. Eva Vivalt, 0. "How Much Can We Generalize From Impact Evaluations?," Journal of the European Economic Association, European Economic Association, vol. 18(6), pages 3045-3089.
    11. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    12. Sylvain Chassang & Gerard Padro I Miquel & Erik Snowberg, 2012. "Selective Trials: A Principal-Agent Approach to Randomized Controlled Experiments," American Economic Review, American Economic Association, vol. 102(4), pages 1279-1309, June.
    13. Deaton, Angus & Cartwright, Nancy, 2018. "Understanding and misunderstanding randomized controlled trials," Social Science & Medicine, Elsevier, vol. 210(C), pages 2-21.
    14. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
    15. Leonard Wantchekon & Jenny Guardado R., 2011. "Methodology Update: Randomised Controlled Trials, Structural Models and the Study of Politics-super- †," Journal of African Economies, Centre for the Study of African Economies, vol. 20(4), pages 653-672, August.
    16. Guido W. Imbens, 2010. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 399-423, June.
    17. repec:pri:cheawb:deaton%20instruments%20of%20development%20keynes%20lecture%202009 is not listed on IDEAS
    18. Eva Vivalt, 2020. "How Much Can We Generalize From Impact Evaluations?," Journal of the European Economic Association, European Economic Association, vol. 18(6), pages 3045-3089.
    19. Siwan Anderson & Patrick Francois & Ashok Kotwal, 2015. "Clientelism in Indian Villages," American Economic Review, American Economic Association, vol. 105(6), pages 1780-1816, June.
    20. Kapoor, Sacha & Magesan, Arvind, 2018. "Independent Candidates and Political Representation in India," American Political Science Review, Cambridge University Press, vol. 112(3), pages 678-697, August.
    21. repec:pri:cheawb:deaton%20instruments%20of%20development%20keynes%20lecture%202009.pdf is not listed on IDEAS
    22. Adrien Bouguen & Yue Huang & Michael Kremer & Edward Miguel, 2019. "Using Randomized Controlled Trials to Estimate Long-Run Impacts in Development Economics," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 523-561, August.
    23. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    24. Das, Sabyasachi, 2020. "(Don’t) leave politics out of it: Reflections on public policies, experiments, and interventions," World Development, Elsevier, vol. 127(C).
    25. 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.
    26. Lant Pritchett, 2002. "It pays to be ignorant: A simple political economy of rigorous program evaluation," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 5(4), pages 251-269.
    27. De La O,Ana Lorena, 2015. "Crafting Policies to End Poverty in Latin America," Cambridge Books, Cambridge University Press, number 9781107089488, October.
    28. Drew B. Cameron & Anjini Mishra & Annette N. Brown, 2016. "The growth of impact evaluation for international development: how much have we learned?," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 8(1), pages 1-21, March.
    29. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    30. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    31. repec:pri:rpdevs:instruments_of_development.pdf is not listed on IDEAS
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    2. Dur, Robert & Non, Arjan & Prottung, Paul & Ricci, Benedetta, 2023. "Who's Afraid of Policy Experiments?," OSF Preprints yshkt, Center for Open Science.
    3. Centofanti, Tiziana & Murugesan, Anand, 2022. "Leader and citizens participation for the environment: Experimental evidence from Eastern Europe," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 100(C).
    4. Obie Porteous, 2022. "Research Deserts and Oases: Evidence from 27 Thousand Economics Journal Articles on Africa," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1235-1258, December.
    5. Fatoumata Nankoto Cissé, 2022. "How impact evaluation methods influence the outcomes of development projects? Evidence from a meta-analysis on decentralized solar nano projects," Documents de travail du Centre d'Economie de la Sorbonne 22008, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    6. Fatoumata Nankoto Cissé, 2022. "How impact evaluation methods influence the outcomes of development projects? Evidence from a meta-analysis on decentralized solar nano projects," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03623394, HAL.

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