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Policy evaluation and the causal analysis of public support

Author

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  • Stefano Carattini
  • Robert Dur
  • John List
Abstract
Many policies that are generally considered socially desirable by the scientific community, based on modeling and causal empirical analyses, are not very widespread. The main driver is often lack of public support at baseline ("ex ante"). Yet, there is evidence that when voters hold biased beliefs ex ante about a given policy, experiencing the policy firsthand may lead them to correct their beliefs and increase public support. If it was widely documented that opposition to sound policies in part dissipates when voters experience a given policy, then more policy-makers may be inclined to experiment with policies that scientists recommend but that are unpopular ex ante. Systematically combining policy evaluation with causal analysis of public support would allow scholars to create a body of knowledge on the conditions under which policies become more (or less) popular after implementation and what are the drivers of changes in beliefs and public support.

Suggested Citation

  • Stefano Carattini & Robert Dur & John List, 2024. "Policy evaluation and the causal analysis of public support," Natural Field Experiments 00798, The Field Experiments Website.
    • Handle: RePEc:feb:natura:00798
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