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Reasons for policy experimentation that have nothing to do with selection bias

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  • Samii, Cyrus

Abstract

The conventional case in favor of policy experimentation focuses on how randomization controls selection bias. This is undoubtedly important. This essay focuses on additional benefits from experimentation that are completely distinct from controlling selection bias. These benefits derive directly from the fact that experimentation involves actively intervening to assign policy treatments. Experimentation “puts manipulability to the test” in ways that passive observation does not, and it allows for deeply engaged learning about policy formulation and implementation that ex post analyses miss.

Suggested Citation

  • Samii, Cyrus, 2020. "Reasons for policy experimentation that have nothing to do with selection bias," World Development, Elsevier, vol. 127(C).
    • Handle: RePEc:eee:wdevel:v:127:y:2020:i:c:s0305750x19304747
    DOI: 10.1016/j.worlddev.2019.104825
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    Cited by:

    1. De La O, Ana L. & González, Lucas I. & Weitz-Shapiro, Rebecca, 2023. "Voluntary audits: Experimental evidence on a new approach to monitoring front-line bureaucrats," World Development, Elsevier, vol. 162(C).

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