Reducing Compliance Demands in Government Benefit Programs Improves the Psychological Well-Being of Target Group Members

How Did Colleges Disburse Emergency Aid During COVID-19? An Implementation Analysis of the Higher Education Emergency Relief Fund

To address the unprecedented challenges of the COVID-19 pandemic, Congress authorized the Higher Education Emergency Relief Fund (HEERF I) in March 2020 with over $6 billion allocated for emergency financial aid. In this paper, we utilize the administrative burden framework to analyze HEERF I implementation for a stratified random sample of colleges, focusing on the implications for equity. We find that disbursement policies varied along two dimensions: (1) whether they imposed burdens on students by requiring applications and proof of hardship and (2) whether they targeted needy students and varied the amount of aid according to need. When we examine sectoral differences, we find that private for-profit colleges were more likely to place higher burden on students, whereas public and minority-serving institutions were more likely to reduce burden.

Emergency-aid for self-employed in the Covid-19 pandemic: A flash in the pan?

The self-employed faced strong income losses during the Covid-19 pandemic. Many governments introduced programs to financially support the self-employed during the pandemic, including Germany. The German Ministry for Economic Affairs announced a €50bn emergency-aid program in March 2020, offering one-off lump-sum payments of up to €15,000 to those facing substantial revenue declines. By reassuring the self-employed that the government 'would not let them down' during the crisis, the program had also the important aim of motivating the self-employed to get through the crisis. We investigate whether the program affected the confidence of the self-employed to survive the crisis using real-time online-survey data comprising more than 20,000 observations. We employ propensity score matching, making use of a rich set of variables that influence the subjective survival probability as main outcome measure. We observe that this program had significant effects, with the subjective survival probability of the self-employed being moderately increased. We reveal important effect heterogeneities with respect to education, industries, and speed of payment. Notably, positive effects only occur among those self-employed whose application was processed quickly. This suggests stress-induced waiting costs due to the uncertainty associated with the administrative processing and the overall pandemic situation. Our findings have policy implications for the design of support programs, while also contributing to the literature on the instruments and effects of entrepreneurship policy interventions in crisis situations.