This note provides new evidence on how small business owners have been impacted by COVID-19, and how these effects have evolved since the passage of the CARES Act. As part of a broader and ongoing project, we collected survey data from more than 8,000 small business owners in the U.S. from March 28th, one day after the CARES Act was passed, through April 20th. The data include information on firm size, layoffs, beliefs about the future prospects of their businesses, as well as awareness of existing government relief programs. We provide three main findings. First, by the time the CARES Act was passed, surveyed small business owners were already severely impacted by COVID-19-related disruptions: 60% had already laid off at least one worker. Second, business owners’ expectations about the future are negative and have deteriorated throughout our study period, with 37% of respondents in the first week reporting that they did not expect to recover within 2 years, growing to 46% by the last week. Third, the smallest businesses had the least awareness of government assistance programs, the slowest growth in awareness after the passage of the CARES Act, and never caught up with larger businesses. The last finding indicates that small businesses may have missed out on initial Paycheck Protection Program funds because of low baseline awareness and differential access to information relative to larger firms.
This note provides new evidence on how small business owners have been impacted by COVID-19, and how these effects have evolved since the passage of the CARES Act. As part of a broader and ongoing project, we collected survey data from more than 8,000 small business owners in the U.S. from March 28th, one day after the CARES Act was passed, through April 20th. The data include information on firm size, layoffs, beliefs about the future prospects of their businesses, as well as awareness of existing government relief programs. We provide three main findings. First, by the time the CARES Act was passed, surveyed small business owners were already severely impacted by COVID-19-related disruptions: 60% had already laid off at least one worker. Second, business owners’ expectations about the future are negative and have deteriorated throughout our study period, with 37% of respondents in the first week reporting that they did not expect to recover within 2 years, growing to 46% by the last week. Third, the smallest businesses had the least awareness of government assistance programs, the slowest growth in awareness after the passage of the CARES Act, and never caught up with larger businesses. The last finding indicates that small businesses may have missed out on initial Paycheck Protection Program funds because of low baseline awareness and differential access to information relative to larger firms.
Each year, more than two million U.S. households have an eviction case filed against them. Many cities have recently implemented policies aimed at reducing the number of evictions, motivated by research showing strong associations between being evicted and subsequent adverse economic outcomes. Yet it is difficult to determine to what extent those associations represent causal relationships, because eviction itself is likely to be a consequence of adverse life events. This paper addresses that challenge and offers new causal evidence on how eviction affects financial distress, residential mobility, and neighborhood quality. We collect the near-universe of Cook County court records over a period of seventeen years, and link these records to credit bureau and payday loans data. Using this data, we characterize the trajectory of financial strain in the run-up and aftermath of eviction court for both evicted and non-evicted households, finding high levels and striking increases in financial strain in the years before an eviction case is filed. Guided by this descriptive evidence, we employ two approaches to draw causal inference on the effect of eviction. The first takes advantage of the panel data through a difference-in-differences design. The second is an instrumental variables strategy, relying on the fact that court cases are randomly assigned to judges of varying leniency. We find that eviction negatively impacts credit access and durable consumption for several years. However, the effects are small relative to the financial strain experienced by both evicted and non-evicted tenants in the run-up to an eviction filing.