Chyn Eric, Hyman Joshua, Kapustin Max
Department of Economics at the University of Virginia, P.O. Box 400182, Charlottesville, VA 22904-4182.
Department of Public Policy at the University of Connecticut, 10 Front Street, 4th Floor, Hartford, Connecticut 06103.
J Policy Anal Manage. 2019 Winter;38(1):65-98. doi: 10.1002/pam.22104. Epub 2018 Nov 5.
Low participation rates in government assistance programs are a major policy concern in the United States. This paper studies take-up of Section 8 housing vouchers, a program in which take-up rates are quite low among interested and eligible households. We link 18,109 households in Chicago that were offered vouchers through a lottery to administrative data and study how baseline employment, earnings, public assistance, arrests, residential location, and children's academic performance predict take-up. Our analysis finds mixed evidence of whether the most disadvantaged or distressed households face the largest barriers to program participation. We also study the causal impact of peer behavior on take-up by exploiting idiosyncratic variation in the timing of voucher offers. We find that the probability of lease-up increases with the number of neighbors who recently received voucher offers. Finally, we explore the policy implications of increasing housing voucher take-up by applying reweighting methods to existing causal impact estimates of voucher receipt. This analysis suggests that greater utilization of vouchers may lead to larger reductions in labor market activity. Differences in take-up rates across settings may be important to consider when assessing the external validity of studies identifying the effects of public assistance programs.
政府援助项目参与率低是美国的一个主要政策关注点。本文研究第8节住房券的使用情况,在该项目中,有兴趣且符合条件的家庭的使用率相当低。我们将芝加哥通过抽签获得住房券的18109户家庭与行政数据相联系,并研究基线就业、收入、公共援助、逮捕记录、居住地点以及儿童学业成绩如何预测住房券的使用情况。我们的分析发现,关于最弱势或最困难家庭是否在项目参与上面临最大障碍的证据不一。我们还通过利用住房券发放时间的特殊差异来研究同伴行为对住房券使用的因果影响。我们发现,租赁率会随着近期收到住房券的邻居数量的增加而上升。最后,我们通过对现有的住房券领取因果影响估计应用重新加权方法,探讨提高住房券使用率的政策含义。该分析表明,更多地使用住房券可能会导致劳动力市场活动的更大幅度下降。在评估确定公共援助项目效果的研究的外部有效性时,不同环境下的使用率差异可能是需要考虑的重要因素。