Earnings losses of Connecticut workers affected by mass layoff are calculated using administrative data. Estimated reductions are initially more than 30 percent and six years later, as much as 15 percent. The Connecticut estimates are smaller than comparable ones from Pennsylvania administrative data but similar to those from the Panel Study of Income Dynamics (PSID) and Department of Workforce Services (DWS). Earnings reductions in Connecticut and Pennsylvania are concentrated among Unemployment Insurance recipients. An unusually high proportion of Unemployment Insurance beneficiaries in Pennsylvania explains the larger estimated losses relative to other studies. Fixed-effects, random growth, and matching estimators produced similar earnings loss estimates suggesting each is relatively unbiased in this context. (J31, J 63, J65, R23)

This paper provides early evidence of the impacts of the COVID-19 pandemic on minority unemployment in the United States. In the first month following March adoptions of social distancing measures by states, unemployment rose to 14.5 percent but a much higher 24.4 percent when we correct for potential data misclassification noted by the BLS. Using the official definition, unemployment in April 2020 among African-Americans rose by less than what would have been anticipated (to 16.6 percent) based on previous recessions, and the long-term ordering of unemployment across racial/ethnic groups was altered with Latinx unemployment (18.2 percent) rising for the first time to the highest among major groups. Difference-in-difference estimates confirm that the initial gap in unemployment between whites and blacks in April was not different than in periods prior to the pandemic; however, the racial gap expanded as unemployment for whites declined in the next two months but was largely stagnant for blacks. The initially large gap in unemployment between whites and Latinx in April was sustained in May and June as unemployment declined similarly for both groups. Non-linear decompositions show a favorable industry distribution partly protected black employment during the early stages of the pandemic, but that an unfavorable occupational distribution and lower average skills levels placed them at higher risk of job losses. An unfavorable occupational distribution and lower skills contributed to a sharply widened Latinx-white unemployment gap that moderated over time as rehiring occurred. These findings of disproportionate impacts on minority unemployment raise important concerns regarding lost earnings and wealth, and longer-term consequences of the pandemic on racial inequality in the United States.

We estimate the employment effects of federal minimum wage increases using monthly Current Population Survey (CPS) data from 1979 through 1997. We find that the empirical differences in the new minimum wage literature based on CPS data primarily can be traced to alternative methods of controlling for macroeconomic conditions. We argue that the macroeconomic controls commonly included in models where no employment impact is found are inappropriate. We consistently find a significant but modest negative relationship between minimum wage increases and teenage employment using alternative controls or allowing employer responses to the policy to occur with some delay.

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We provide estimates of a reduced-form model of the allocation of household time and money resources. We consider four demands for these resources: time spent working, time spent providing care for noncoresident elderly parents, time spent performing housework, and monetary transfers to noncoresident elderly parents. We focus on the effects of wage rates and parental characteristics on the allocation decisions of adult children and their households concerning these four demands. We find that households with individuals earning high wages rely relatively more on cash transfers and relatively less on time transfers than do lower-wage households. We also find evidence consistent with an unmeasured tendency of some families to provide multiple sources of support.