Choosing Who Chooses: Selection‐Driven Targeting in Energy Rebate Programs
选择由谁选择：能源返利项目中的自选择定向政策
We develop an optimal policy assignment rule that integrates two distinctive approaches commonly used in economics—targeting by observables and targeting through self‐selection . Our method can be used with experimental or quasi‐experimental data to identify who should be treated, be untreated, and self‐select to achieve a policymaker's objective. Applying this method to a randomized controlled trial on a residential energy rebate program, we find that targeting that…