This paper examines a method of tax avoidance not previously studied: the sorting of dependent children among related filers who have 'doubled up' in a household for economic reasons. Using the Current Population Survey Annual Social and Economic Supplement (CPS ASEC) linked with 1040 data from the Internal Revenue Service (IRS), we examine households with children and at least two adult tax filers to determine whether the household minimizes income tax burden, and thus maximizes refunds, by optimally claiming dependents. We examine specifically the relationship between the Earned Income Tax Credit (EITC) and the sorting of dependent children among filers in households. We find the following: The propensity to sort increases as the number of filers who are potentially eligible for the EITC increases; sorting probability increases as the optimal household EITC amount increases; and among households with at least one EITC-eligible filer, the propensity to sort increases as the difference between modeled household EITC amount and the optimal amount increases. We also exploit the 2009 change in EITC benefit for families with three or more children, finding that the propensity to sort to exactly three children increased among EITC-eligible filers after the rule change. The results of this analysis improve our understanding of filing behavior, particularly how households form filing units and pool resources, and have implications for poverty measurement in complex households This presentation was given at the CARRA Seminar, July 16, 2014
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Changes in EITC Eligibility and Participation, 2005'2009
July 2014
Working Paper Number:
carra-2014-04
The rate of participation in the Earned Income Tax Credit (EITC) has been widely studied, but changes over time in eligibility for the credit have received less attention. One question of importance to policy-makers is whether (or by how much) eligibility might increase during economic downturns. The EITC is fundamentally tied to work. During periods of high unemployment, eligibility may decrease due to a lower number of workers - especially low-skilled workers - filing for a given tax year. On the other hand, family structure and underemployment may lead to increases in eligibility. For example, earners may become eligible when a two-earner family loses one job or when an earner works part of the year or fewer hours. Using IRS tax data linked with the Current Population Survey Annual Social and Economic Supplement (CPS ASEC), I examine changes in EITC eligibility and take-up between tax years 2005 and 2009, during which time the Great Recession began and ended. Employing fixed-effects models, I assess patterns of eligibility among demographic groups based on characteristics that also predict labor market outcomes. Results indicate that, in a period when overall EITC eligibility rates increased, the state unemployment rate had a significant positive effect on eligibility and a significant negative effect on take-up. Meanwhile, although joint filers, those with more children, and men experienced increasing rates of eligibility, those with less education experienced decreasing rates. Results point to the possibility that labor market groups who experienced the highest rates of unemployment in the recession may have become ineligible due to full-year job loss.
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EITC Participation Results and IRS-Census Match Methodology, Tax Year 2021
December 2024
Working Paper Number:
CES-24-75
The Earned Income Tax Credit (EITC), enacted in 1975, offers a refundable tax credit to low income working families. This paper provides taxpayer and dollar participation estimates for the EITC covering tax year 2021. The estimates derive from an approach that relies on linking the 2022 Current Population Survey Annual Social and Economic Supplement (CPS ASEC) to IRS administrative data. This approach, called the Exact Match, uses survey data to identify EITC eligible taxpayers and IRS administrative data to indicate which eligible taxpayers claimed and received the credit. Overall in tax year 2021 eligible taxpayers participated in the EITC program at a rate of 78 percent while dollar participation was 81 percent.
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CTC and ACTC Participation Results and IRS-Census Match Methodology, Tax Year 2020
December 2024
Working Paper Number:
CES-24-76
The Child Tax Credit (CTC) and Additional Child Tax Credit (ACTC) offer assistance to help ease the financial burden of families with children. This paper provides taxpayer and dollar participation estimates for the CTC and ACTC covering tax year 2020. The estimates derive from an approach that relies on linking the 2021 Current Population Survey Annual Social and Economic Supplement (CPS ASEC) to IRS administrative data. This approach, called the Exact Match, uses survey data to identify CTC/ACTC eligible taxpayers and IRS administrative data to indicate which eligible taxpayers claimed and received the credit. Overall in tax year 2020, eligible taxpayers participated in the CTC and ACTC program at a rate of 93 percent while dollar participation was 91 percent.
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The Antipoverty Impact of the EITC: New Estimates from Survey and Administrative Tax Records
April 2019
Working Paper Number:
CES-19-14R
We reassess the antipoverty effects of the EITC using unique data linking the CPS Annual Social and Economic Supplement to IRS data for the same individuals spanning years 2005-2016. We compare EITC benefits from standard simulators to administrative EITC payments and find that significantly more actual EITC payments flow to childless tax units than predicted, and to those whose family income places them above official poverty thresholds. However, actual EITC payments appear to be target efficient at the tax unit level. In 2016, about 3.1 million persons were lifted out of poverty by the EITC, substantially less than prior estimates.
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Tax Preparers, Refund Anticipation Products, and EITC Noncompliance
December 2017
Working Paper Number:
carra-2017-10
This work examines whether the availability of tax refund anticipation products (either in the form of a loan or a temporary bank account) is associated with higher non-compliance rates for the Earned Income Tax Credit (EITC). Refund anticipation products are offered by tax preparers as a way for taxpayers to receive a refund faster or to have the tax preparation fee paid from the refund (or both). These products are, on average, costly for taxpayers compared with the average value of a refund, and they are often marketed to low-income taxpayers who may be liquidity constrained or unbanked. Both tax preparers and taxpayers have perverse incentives to use these products, and the temptation of a large refund (for the taxpayer) and added fees and interest (for the tax preparer) may induce erroneous claiming of credits. The paper examines the association between refund anticipation product use and the overpayment of EITC using tax records and survey data linked at the individual level. For taxpayers in the Current Population Survey Annual and Social Economic Supplement, EITC eligibility is estimated based on household characteristics and combined survey and administrative income information; the data include EITC credit receipt, the use of paid tax preparation or online filing, and the receipt of a refund anticipation product. Both the incorrect payment of EITC and the value of EITC overpayment are associated with preparer use, and to a lesser extent with the use of online filing, when compared with paper filing. Incorrect payment is exacerbated for preparer and online filing when a refund anticipation product is purchased. Finally, an exogenous price shock to the tax preparation industry occurred in 2010. This allows for separately identifying a 'preparer effect' on EITC noncompliance. The rate of incorrect payment and the dollar value of overpayment increased in the tax year of the shock for those using a preparer and buying a product.
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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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Where Are Your Parents? Exploring Potential Bias in Administrative Records on Children
March 2024
Working Paper Number:
CES-24-18
This paper examines potential bias in the Census Household Composition Key's (CHCK) probabilistic parent-child linkages. By linking CHCK data to the American Community Survey (ACS), we reveal disparities in parent-child linkages among specific demographic groups and find that characteristics of children that can and cannot be linked to the CHCK vary considerably from the larger population. In particular, we find that children from low-income, less educated households and of Hispanic origin are less likely to be linked to a mother or a father in the CHCK. We also highlight some data considerations when using the CHCK.
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School Discipline and Racial Disparities in Early Adulthood
June 2021
Working Paper Number:
CES-21-14
Despite interest in the role of school discipline in the creation of racial inequality, previous research has been unable to identify how students who receive suspensions in school differ from unsuspended classmates on key young adult outcomes. We utilize novel data to document the links between high school discipline and important young adult outcomes related to criminal justice contact, social safety net program participation, post-secondary education, and the labor market. We show that the link between school discipline and young adult outcomes tends to be stronger for Black students than for White students, and that inequality in exposure to school discipline accounts for approximately 30 percent of the Black-White disparities in young adult criminal justice outcomes and SNAP receipt.
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The EITC and Intergenerational Mobility
November 2020
Working Paper Number:
CES-20-35
We study how the largest federal tax-based policy intended to promote work and increase incomes among the poor'the Earned Income Tax Credit (EITC)'affects the socioeconomic standing of children who grew up in households affected by the policy. Using the universe of tax filer records for children linked to their parents, matched with demographic and household information from the decennial Census and American Community Survey data, we exploit exogenous differences by children's ages in the births and 'aging out' of siblings to assess the effect of EITC generosity on child outcomes. We focus on assessing mobility in the child income distribution, conditional on the parents' position in the parental income distribution. Our findings suggest significant and mostly positive effects of more generous EITC refunds on the next generation that vary substantially depending on the child's household type (single-mother or married family) and by the child's gender. All children except White children from single-mother households experience increases in cohort-specific income rank, own family income, and the probability of working at ages 25'26 in response to greater EITC generosity. Children from married households show a considerably stronger response on these measures than do children from single-mother households. Because of the concentration of family types within race groups, the more positive response among children from married households suggests the EITC might lead to higher within-generation racial income inequality. Finally, we examine how the impact of EITC generosity varies by the age at which children are exposed to higher benefits. These results suggest that children who first receive the more generous two-child treatment at later ages have a stronger positive response in terms of rank and family income than children exposed at younger ages.
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Assessing Coverage and Quality of the 2007 Prototype Census Kidlink Database
September 2015
Working Paper Number:
carra-2015-07
The Census Bureau is conducting research to expand the use of administrative records data in censuses and surveys to decrease respondent burden and reduce costs while improving data quality. Much of this research (e.g., Rastogi and O''Hara (2012), Luque and Bhaskar (2014)) hinges on the ability to integrate multiple data sources by linking individuals across files. One of the Census Bureau's record linkage methodologies for data integration is the Person Identification Validation System or PVS. PVS assigns anonymous and unique IDs (Protected Identification Keys or PIKs) that serve as linkage keys across files. Prior research showed that integrating 'known associates' information into PVS's reference files could potentially enhance PVS's PIK assignment rates. The term 'known associates' refers to people that are likely to be associated with each other because of a known common link (such as family relationships or people sharing a common address), and thus, to be observed together in different files. One of the results from this prior research was the creation of the 2007 Census Kidlink file, a child-level file linking a child's Social Security Number (SSN) record to the SSN of those identified as the child's parents. In this paper, we examine to what extent the 2007 Census Kidlink methodology was able to link parents SSNs to children SSN records, and also evaluate the quality of those links. We find that in approximately 80 percent of cases, at least one parent was linked to the child's record. Younger children and noncitizens have a higher percentage of cases where neither parent could be linked to the child. Using 2007 tax data as a benchmark, our quality evaluation results indicate that in at least 90 percent of the cases, the parent-child link agreed with those found in the tax data. Based on our findings, we propose improvements to the 2007 Kidlink methodology to increase child-parent links, and discuss how the creation of the file could be operationalized moving forward.
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