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National Experimental Wellbeing Statistics - Version 1
February 2023
Working Paper Number:
CES-23-04
This is the U.S. Census Bureau's first release of the National Experimental Wellbeing Statistics (NEWS) project. The NEWS project aims to produce the best possible estimates of income and poverty given all available survey and administrative data. We link survey, decennial census, administrative, and third-party data to address measurement error in income and poverty statistics. We estimate improved (pre-tax money) income and poverty statistics for 2018 by addressing several possible sources of bias documented in prior research. We address biases from 1) unit nonresponse through improved weights, 2) missing income information in both survey and administrative data through improved imputation, and 3) misreporting by combining or replacing survey responses with administrative information. Reducing survey error substantially affects key measures of well-being: We estimate median household income is 6.3 percent higher than in survey estimates, and poverty is 1.1 percentage points lower. These changes are driven by subpopulations for which survey error is particularly relevant. For house holders aged 65 and over, median household income is 27.3 percent higher and poverty is 3.3 percentage points lower than in survey estimates. We do not find a significant impact on median household income for householders under 65 or on child poverty. Finally, we discuss plans for future releases: addressing other potential sources of bias, releasing additional years of statistics, extending the income concepts measured, and including smaller geographies such as state and county.
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Using Small-Area Estimation (SAE) to Estimate Prevalence of Child Health Outcomes at the Census Regional-, State-, and County-Levels
November 2022
Working Paper Number:
CES-22-48
In this study, we implement small-area estimation to assess the prevalence of child health outcomes at the county, state, and regional levels, using national survey data.
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The Underserved Have Less Access to Employer-Sponsored Telemedicine Coverage
September 2022
Working Paper Number:
CES-22-40
Telemedicine has been proposed as one means of improving health care access for underserved communities, and information about insurance coverage for telemedicine (TMC) is important in understanding its utilization and provision. We use 2018-2019 Medical Expenditure Panel Survey-Insurance Component data on employer-sponsored coverage to examine pre-pandemic TMC relative to employer, worker, and health plan characteristics. We find that the share of employees in private sector establishments offering TMC was lower in the most rural counties, in smaller firms, in establishments without unionized employees, and in establishments where most workers were low wage, part-time and older when compared to other establishments. These findings reflect differences across establishments in insurance offers, as well as differences in TMC conditional on an insurance offer, which suggests that TMC may function as a premium plan feature with limited availability and potential support for improving healthcare access for the underserved.
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Introducing the Medical Expenditure Panel Survey-Insurance Component with Administrative Records (MEPS-ICAR): Description, Data Construction Methodology, and Quality Assessment
August 2022
Working Paper Number:
CES-22-29
This report introduces a new dataset, the Medical Expenditure Panel Survey-Insurance Component with Administrative Records (MEPS-ICAR), consisting of MEPS-IC survey data on establishments and their health insurance benefits packages linked to Decennial Census data and administrative tax records on MEPS-IC establishments' workforces. These data include new measures of the characteristics of MEPS-IC establishments' parent firms, employee turnover, the full distribution of MEPS-IC workers' personal and family incomes, the geographic locations where those workers live, and improved workforce demographic detail. Next, this report details the methods used for producing the MEPS-ICAR. Broadly, the linking process begins by matching establishments' parent firms to their workforces using identifiers appearing in tax records. The linking process concludes by matching establishments to their own workforces by identifying the subset of their parent firm's workforce that best matches the expected size, total payroll, and residential geographic distribution of the establishment's workforce. Finally, this report presents statistics characterizing the match rate and the MEPS-ICAR data itself. Key results include that match rates are consistently high (exceeding 90%) across nearly all data subgroups and that the matched data exhibit a reasonable distribution of employment, payroll, and worker commute distances relative to expectations and external benchmarks. Notably, employment measures derived from tax records, but not used in the match itself, correspond with high fidelity to the employment levels that establishments report in the MEPS-IC. Cumulatively, the construction of the MEPS-ICAR significantly expands the capabilities of the MEPS-IC and presents many opportunities for analysts.
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Family Formation and the Great Recession
December 2020
Working Paper Number:
CES-20-42R
This paper studies how exposure to recessions as a young adult impacts long-term family formation in the context of the Great Recession. Using confidential linked survey data from U.S. Census, I document that exposure to a 1 pp larger unemployment shock in the Great Recession in one's early 20s is associated with a 0.8 pp decline in likelihood of marriage by their early 30s. These effects are not explained by substitution toward cohabitation with unmarried partners, are concentrated among whites, and are notably absent for individuals from high-income families. The estimated effects on fertility are also negative but imprecisely estimated. A back-of-the-envelope exercise suggests that these reductions in family formation may have increased the long-run impact of the Recession on consumption relative to its impact on individual earnings by a considerable extent.
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The effect of child support on selection into marriage and fertility
February 2019
Working Paper Number:
CES-19-04
Child support policies in the United States have expanded dramatically since the mid-1970s and now cover 1 in 5 children. This paper studies the consequences of child support for marriage and fertility decisions. I first introduce a model showing that child support enforces ex ante commitment from men to provide financial support in the event of a child, which (1) increases premarital sex among couples unlikely to marry, and (2) reduces the abortion rate, by lessening the cost of raising a child as a single mom. Using variation in the timing and geography of the rollout of U.S. child support laws relative to the timing of pregnancy, from 1977 to 1992, I find that marriages following an unplanned pregnancy are less likely to occur under strengthened child support laws, accounting for about a 7-8 percentage point reduction relative to a base of 38 percent. I find that the child support rollout reduced the abortion rate by 1-2 per 1000 women aged 15-44, off a base of 28, representing about 50 percent of the total decline in the abortion rate over this period.
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Reporting of Indian Health Service Coverage in the American Community Survey
May 2018
Working Paper Number:
carra-2018-04
Response error in surveys affects the quality of data which are relied on for numerous research and policy purposes. We use linked survey and administrative records data to examine reporting of a particular item in the American Community Survey (ACS) - health coverage among American Indians and Alaska Natives (AIANs) through the Indian Health Service (IHS). We compare responses to the IHS portion of the 2014 ACS health insurance question to whether or not individuals are in the 2014 IHS Patient Registration data. We evaluate the extent to which individuals misreport their IHS coverage in the ACS as well as the characteristics associated with misreporting. We also assess whether the ACS estimates of AIANs with IHS coverage represent an undercount. Our results will be of interest to researchers who rely on survey responses in general and specifically the ACS health insurance question. Moreover, our analysis contributes to the literature on using administrative records to measure components of survey error.
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Head Start and Mothers' Work: Free Child Care or Something More?
March 2018
Working Paper Number:
CES-18-13
Head Start is the largest public pre-school program in the US, but it provides many additional services to families. This paper uses a discontinuity in grant writing assistance in the first year of the Head Start program to identify impacts on the work and welfare usage of mothers. Using restricted Decennial Census and administrative AFDC data I find that Head Start decreases employment rates and hours worked per week for single mothers. I also find a suggestive increase in welfare receipt for single mothers which is confirmed by an increase in the share of administrative welfare case-files that are single mother households. For all mothers combined there are no significant changes in work or welfare use. I also estimate long-run impacts, 10 years after a woman's child was eligible for Head Start. I find large and persistent declines in work for both non-white mothers and single mothers, accompanied by an increase in public assistance income and return to school. I argue that this is consistent with the 1960's era Head Start program's focus on encouraging quality parenting, parent participation and helping families access all benefits for which they were eligible.
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Capturing More Than Poverty: School Free and Reduced-Price Lunch Data and Household Income
December 2017
Working Paper Number:
carra-2017-09
Educational researchers often use National School Lunch Program (NSLP) data as a proxy for student poverty. Under NSLP policy, students whose household income is less than 130 percent of the poverty line qualify for free lunch and students whose household income is between 130 percent and 185 percent of the poverty line qualify for reduced-price lunch. Linking school administrative records for all 8th graders in a California public school district to household-level IRS income tax data, we examine how well NSLP data capture student disadvantage. We find both that there is substantial disadvantage in household income not captured by NSLP category data, and that NSLP categories capture disadvantage on test scores above and beyond household income.
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Is Subsidized Childcare Associated with Lower Risk of Grade Retention for Low-Income Children? Evidence from Child Care and Development Fund Administrative Records Linked to the American Community Survey
June 2017
Working Paper Number:
carra-2017-06
This study investigates whether low-income young children's experience of Child Care and Development Fund (CCDF)-subsidized childcare is associated with a lower subsequent likelihood of being held back in grades K-12. High-quality childcare has been shown to improve low-income children's school readiness. However, no previous study has examined the link specifically between subsidized care and grade retention. I do so here by matching information on children from CCDF administrative records to later observations of the same children in the American Community Survey (ACS). I use logistic regression to compare the likelihood of grade retention between CCDF-recipient children and non-recipient children who also appear in the ACS in the years 2008-2014 (N=2,284,857). I find strong evidence for an association between CCDF-subsidized care and lower risk of grade retention, especially among non-Hispanic Black children and Hispanic children. I also find evidence that receiving CCDF-subsidized center-based care in particular is associated with a lower risk of being held back than CCDF-subsidized family daycare, babysitter care, or relative care, again with the largest apparent benefit to non-Hispanic Black children and Hispanic children.
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