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What Can Experiments Tell Us About How to Improve Government Performance?

Author

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  • Gisselquist Rachel M.

    (United Nations University – World Institute for Development Economics Research (UNU-WIDER), Helsinki, Finland)

  • Niño-Zarazúa Miguel

    (United Nations University – World Institute for Development Economics Research (UNU-WIDER), Helsinki, Finland)

Abstract

In recent years, experimental methods have been both highly celebrated, and roundly criticized, as a means of addressing core questions in the social sciences. They have received particular attention in the analysis of development interventions. This paper focuses on two key questions: (1) what have been the main contributions of RCTs to the study of government performance? and (2) what could be the contributions, and relatedly the limits? It draws inter alia on a new systematic review of experimental and quasi-experimental studies on governance to consider both the contributions and limits of RCTs in the extant literature. A final section introduces the studies included in this symposium in light of this discussion. Collectively, the studies push beyond polarized debates over experimental methods towards a new middle ground, considering both how experimental work can better address identified weaknesses and how experimental and non-experimental techniques can be combined most fruitfully.

Suggested Citation

  • Gisselquist Rachel M. & Niño-Zarazúa Miguel, 2015. "What Can Experiments Tell Us About How to Improve Government Performance?," Journal of Globalization and Development, De Gruyter, vol. 6(1), pages 1-45, June.
  • Handle: RePEc:bpj:globdv:v:6:y:2015:i:1:p:1-45:n:4
    DOI: 10.1515/jgd-2014-0011
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    References listed on IDEAS

    as
    1. Angrist, Joshua D, 1990. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records," American Economic Review, American Economic Association, vol. 80(3), pages 313-336, June.
    2. Baldwin Kate & Bhavnani Rikhil R., 2015. "Ancillary Studies of Experiments: Opportunities and Challenges," Journal of Globalization and Development, De Gruyter, vol. 6(1), pages 113-146, June.
    3. Charles P. Oman & Christiane Arndt, 2006. "Governance Indicators for Development," OECD Development Centre Policy Insights 33, OECD Publishing.
    4. Angrist, Joshua D, 1990. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records: Errata," American Economic Review, American Economic Association, vol. 80(5), pages 1284-1286, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Rachel M. Gisselquist, 2018. "Legal empowerment and group-based inequality," WIDER Working Paper Series 039, World Institute for Development Economic Research (UNU-WIDER).
    2. Abhirup Bhunia, 2021. "Evidence-based Policy in India: Crossing the Long, Uphill Bridge," Journal of Development Policy and Practice, , vol. 6(2), pages 137-143, July.
    3. Dragan Filipovich & Miguel Niño-Zarazúa & Alma Santillán Hernández, 2018. "Campaign externalities, programmatic spending, and voting preferences in rural Mexico: The case of Progresa-Oportunidades-Prospera programme," WIDER Working Paper Series wp-2018-27, World Institute for Development Economic Research (UNU-WIDER).
    4. Rachel M. Gisselquist, 2019. "Legal Empowerment and Group-Based Inequality," Journal of Development Studies, Taylor & Francis Journals, vol. 55(3), pages 333-347, March.
    5. Gisselquist, Rachel M., 2020. "How the cases you choose affect the answers you get, revisited," World Development, Elsevier, vol. 127(C).
    6. Dragan Filipovich & Miguel Niño-Zarazúa & Alma Santillán Hernández, 2018. "Campaign externalities, programmatic spending, and voting preferences in rural Mexico: The case of Progresa-Oportunidades-Prospera programme," WIDER Working Paper Series 027, World Institute for Development Economic Research (UNU-WIDER).

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    More about this item

    Keywords

    development; governance; randomized controlled trials;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods

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