Targeting Impact versus Deprivation
研究在肯尼亚非政府组织现金转移计划中，如何平衡瞄准最贫困人群与瞄准受项目影响最大人群之间的权衡，发现仅基于贫困瞄准在标准社会福利标准下不具吸引力。
A large literature has examined how best to target antipoverty programs to those most deprived in some sense (e.g., consumption). We examine the potential trade-off between this objective and targeting those most impacted by such programs. We work in the context of an NGO cash transfer program in Kenya, employing recent advances in machine learning methods and dynamic outcome data to learn proxy means tests that jointly target both objectives. Targeting solely on the basis of deprivation is not attractive in this setting under standard social welfare criteria unless the planner’s preferences are extremely redistributive.