| Literature DB >> 35300202 |
Edward D Vargas1, Gabriel R Sanchez2.
Abstract
Latino Americans are more likely than non-Hispanic whites to contract COVID-19 and to face disproportionately high mortality rates when they contract the virus. What has not been well understood is the impact COVID-19 is having on the economic well-being of Latino families. Using the Abriendo Puertas/Latino Decisions National Parent Survey (1195), we asked Latino respondents how the pandemic has impacted their employment, savings, and finances and we also asked them how they have been coping to make ends meet. Using descriptive analysis and ordinal least squares regression, we find that Latinos are experiencing high job loss and business closures. We also find that young parents (18-29-year olds) and those with income levels of $25,000 or lower are experiencing the most economic stress. We also find that Latinos are having difficulty making housing payments and postponing educational and health-related services to make ends meet. We also find that just over half of Latinos have emergency savings under $1000 which is important given that unemployment benefits expired on July 31, 2020. In conclusion, this research finds that Latinos are experiencing economic stressors and are engaging in coping strategies that are deeply concerning and which require explicit attention from policymakers. Given that Latinos took the longest to recover from the Great Recession, policymakers should keep this in mind as we continue to monitor the implications of the recession, ideally looking at mechanisms to reduce the stress for Latino families and encourage policies which target low-income working class Americans and small business owners. © Springer Nature Switzerland AG 2020.Entities:
Keywords: COVID-19; Economic Stress; Latinos
Year: 2020 PMID: 35300202 PMCID: PMC7653215 DOI: 10.1007/s41996-020-00071-0
Source DB: PubMed Journal: J Econ Race Policy ISSN: 2520-8411
Summary statistics using the 2020 Abriendo Puertas/Opening Doors National Survey
| Variable | Observations | Mean | Std. dev. | Min | Max |
|---|---|---|---|---|---|
| Economic stress | |||||
| Lost their job | 1580 | 0.29 | 0 | 1 | |
| The business I own has been shut down or seen a drop-in revenue | 1580 | 0.33 | 0 | 1 | |
| Had work hours cut, or pay cut, but kept their job | 1580 | 0.52 | 0 | 1 | |
| Had trouble making rent or mortgage payment | 1580 | 0.41 | 0 | 1 | |
| Have lost a significant amount of retirement savings | 1580 | 0.39 | 0 | 1 | |
| Economic stress scale | 1580 | 1.94 | 1.66 | 0 | 5 |
| Economic coping | |||||
| Borrowed money from friends or family | 1580 | 0.33 | 0 | 1 | |
| Applied for a loan from a bank or credit union | 1580 | 0.27 | 0 | 1 | |
| Borrowed money from a pay-day or easy loan company with a high interest rate | 1580 | 0.26 | 0 | 1 | |
| Used up all or most of my savings to help pay for our family’s expenses | 1580 | 0.42 | 0 | 1 | |
| Skipped a monthly car, rent, or mortgage payment | 1580 | 0.32 | 0 | 1 | |
| Postponed or cut back on health-related expenses | 1580 | 0.33 | 0 | 1 | |
| Postpone or quit education/career-related expenses | 1580 | 0.32 | 0 | 1 | |
| Moved or changed my housing situation | 1580 | 0.23 | 0 | 1 | |
| Summated economic coping scale | 1580 | 2.49 | 2.51 | 0 | 8 |
| Parent1 | 1580 | 0.75 | 0 | 1 | |
| Grandparent | 1580 | 0.05 | 0 | 1 | |
| Parent all else2 | 1580 | 0.20 | 0 | 1 | |
| Female | 1580 | 0.48 | 0 | 1 | |
| Age categories | |||||
| Age: 18–30 | 1580 | 0.29 | 0 | 1 | |
| Age: 30–44 | 1580 | 0.44 | 0 | 1 | |
| Age: 45+ | 1580 | 0.27 | 0 | 1 | |
| Age of children in household | |||||
| Under 4 years of age | 1580 | 0.18 | 0 | 1 | |
| Children 5–10 | 1580 | 0.26 | 0 | 1 | |
| Children 11–18 | 1580 | 0.56 | 0 | 1 | |
| Education3 | 1580 | 3.31 | 1.45 | 1 | 6 |
| Household income4 | 1423 | 2.96 | 1.51 | 1 | 6 |
| Savings | |||||
| Less than $100 | 1365 | 0.23 | 0 | 1 | |
| Between $100–$500 | 1365 | 0.13 | 0 | 1 | |
| Between $500–$1000 | 1365 | 0.16 | 0 | 1 | |
| Between $1000–$3000 | 1365 | 0.16 | 0 | 1 | |
| Between $3000–$5000 | 1365 | 0.12 | 0 | 1 | |
| Between $5000–$10,000 | 1365 | 0.11 | 0 | 1 | |
| More than $10,000 | 1365 | 0.10 | 0 | 1 | |
| Essential worker | 1580 | 0.51 | 0 | 1 | |
| Married5 | 1580 | 0.69 | 0 | 1 | |
| Homeowner vs renter | 1580 | 0.57 | 0 | 1 | |
| Child(ren) at home due to coronavirus | 1580 | 0.85 | 0 | 1 | |
| Internet in home | 1571 | 0.33 | 0 | 1 | |
| Rural vs urban | 1566 | 0.10 | 0 | 1 | |
| Foreign born vs US born | 1566 | 0.29 | 0 | 1 | |
| Light skin vs medium and dark | 1100 | 0.57 | 0 | 1 | |
1Birth, step, adoptive
2Foster, aunt/uncle, other
3Education: 1 = less than high school, 2 = high school graduate, 3 = some college, but did not graduate, 4 = 2-year degree, 5 = 4-year degree/Bachelor’s degree, 6 = post-graduate degree
4Income: 1 = less than $25,000, 2 = $25,000 to $49,999, 3 = $50,000 to $74,999, 4 = $75,000 to $99,999, 5 = $100,000 to $149,999, 6 = $150,000 or higher
5Married: 0 = single, not in a relationship, in a romantic relationship, but not living together, widow, divorce; 1 = married and in a relationship and living together
Coefficients for ordinary least squares regression of demographic indicators on economic coping and stress using the 2020 Abriendo Puertas/Opening Doors National Survey
| Economic Stress | Economic Coping | |||
|---|---|---|---|---|
| VARIABLES | β | s.e. | β | s.e. |
| Reference category: grandparent | ||||
| Parent 1 | 0.494** | (0.239) | 0.784** | (0.374) |
| Parent all else 2 | 0.595** | (0.262) | 0.677* | (0.404) |
| Female | − 0.299*** | (0.105) | − 0.376** | (0.156) |
| Reference category: age under 29 | ||||
| Age 30–44 | − 0.323** | (0.125) | − 0.805*** | (0.190) |
| Age 45+ | − 0.420** | (0.164) | − 0.824*** | (0.254) |
| Reference category: children in HH under 4 years of age | ||||
| Children 5–10 | − 0.216 | (0.154) | − 0.077 | (0.235) |
| Children 11–18 | − 0.145 | (0.147) | − 0.021 | (0.230) |
| Education3 | 0.129*** | (0.038) | 0.200*** | (0.058) |
| Household Income4 | 0.074* | (0.044) | 0.147** | (0.069) |
| Reference category: savings less than $100 | ||||
| Between $100–$500 | 0.082 | (0.178) | − 0.114 | (0.290) |
| Between $500–$1000 | − 0.346** | (0.175) | − 0.594** | (0.264) |
| Between $1000–$3000 | − 0.429** | (0.177) | − 1.008*** | (0.263) |
| Between $3000–$5000 | − 0.532*** | (0.190) | − 0.784*** | (0.300) |
| Between $5000–$10,000 | − 0.432** | (0.207) | − 1.258*** | (0.304) |
| More than $10,000 | − 0.686*** | (0.227) | − 1.562*** | (0.342) |
| Essential worker | 0.615*** | (0.100) | 0.758*** | (0.150) |
| Married5 | − 0.203* | (0.114) | − 0.184 | (0.176) |
| Homeowner vs renter | − 0.236** | (0.111) | − 0.232 | (0.166) |
| Child(ren) at home due to coronavirus | 0.761*** | (0.140) | 0.861*** | (0.206) |
| Have Internet in home | 0.831*** | (0.111) | 1.442*** | (0.172) |
| Rural vs urban | 0.051 | (0.175) | 0.190 | (0.261) |
| Foreign born vs US born | 0.188 | (0.125) | −0.290 | (0.182) |
| Light-skinned vs medium and dark skinned | 0.229** | (0.102) | 0.300** | (0.148) |
| Constant | 0.546 | (0.340) | 0.785 | (0.511) |
| Observations | 946 | 946 | ||
| 0.217 | 0.229 | |||
*** p < 0.01, ** p < 0.05, * p < 0.1
1Birth, step, adoptive
2Foster, aunt/uncle, other
3Education: 1 = less than high school, 2 = high school graduate, 3 = some college, but did not graduate, 4 = 2-year degree, 5 = 4-year degree/Bachelor’s degree, 6 = post-graduate degree
4Income: 1 = less than $25,000, 2 = $25,000 to $49,999, 3 = $50,000 to $74,999, 4 = $75,000 to $99,999, 5 = $100,000 to $149,999, 6 = $150,000 or higher
5Married: 0 = single, not in a relationship, in a romantic relationship, but not living together, widow, divorce; 1 = married and in a relationship and living together