This is a collaboration with Rebecca Hasdell and David Rehkopf.
The post provides an updated analysis to the post COVID-19: Unemployment and Income Supports April Wave by including data available until the June wave of the current Population Survey. For more details please refer to the previous post.
Statistical Exploration
We are interested in analyzing the effects of COVID-19 on the employment status with a focus on the Earned Income Tax Credit (EITC).
Individual Level Longitudinal Analysis
At an individual/household level the sample size for individuals and households observed both in March 2019 (ASEC wave) and June 2020 corresponds to 10,141 individuals and 4,327 households. Among those a sub-sample of 4,797 individuals grouped in 2,947 households are part of the labor force. At the end, ~7% of the households in the sub-sample have received EITC.
Level | # Obs. 03-19 & 04-20 | In the Labor Force | with EITC > 0 |
---|---|---|---|
Individual | 10,141 | 4,797 | 401 |
Household | 4,327 | 2,947 | 383 |
Approximately 16.4% of people who received the EITC in 2019 are experiencing unemployment between February and June 2020. This represents an increase of the 350% with respect to June 2019.
Codes for this part are available in the file: Disaggregated_Analysis_June.R
Aggregate Occupational Level Analysis
We analyze the CPS data by aggregating over the occupational categories. Our cross-sectional unit becomes the occupational category.
Employment vs Unemployment
We explore the impact of COVID-19 on employment.
Hours Worked
Weekly Earnings
EITC by Occupational Category
Codes for this part are available in the file: Aggregated_Analysis_June.R