A Fast Literature Search Engine based on top-quality journals, by Dr. Mingze Gao.

  • Topic classification is ongoing.
  • Please kindly let me know [mingze.gao@mq.edu.au] in case of any errors.

Your search

In authors or contributors
  • We study a problem in which policymakers need to screen self-selected individuals by unobserved heterogeneity in social welfare gains from a policy intervention. In our framework, the marginal treatment effects and marginal treatment responses arise as key statistics to characterize social welfare. We apply this framework to a randomized field experiment on electricity plan choice. Consumers were offered welfare-improving dynamic pricing with randomly assigned take-up incentives. We find that price-elastic consumers—who generate larger welfare gains—are more likely to self-select. Our counterfactual simulations quantify the optimal take-up incentives that exploit observed and unobserved heterogeneity in selection and welfare gains.

Last update from database: 5/16/24, 11:00 PM (AEST)

Explore

Resource type