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An In-Depth Examination of Requirements for Disclosure Risk Assessment
October 2023
Authors:
Ron Jarmin,
John M. Abowd,
Ian M. Schmutte,
Jerome P. Reiter,
Nathan Goldschlag,
Michael B. Hawes,
Robert Ashmead,
Ryan Cumings-Menon,
Sallie Ann Keller,
Daniel Kifer,
Philip Leclerc,
Rolando A. Rodr�guez,
Victoria A. Velkoff,
Pavel Zhuravlev
Working Paper Number:
CES-23-49
The use of formal privacy to protect the confidentiality of responses in the 2020 Decennial Census of Population and Housing has triggered renewed interest and debate over how to measure the disclosure risks and societal benefits of the published data products. Following long-established precedent in economics and statistics, we argue that any proposal for quantifying disclosure risk should be based on pre-specified, objective criteria. Such criteria should be used to compare methodologies to identify those with the most desirable properties. We illustrate this approach, using simple desiderata, to evaluate the absolute disclosure risk framework, the counterfactual framework underlying differential privacy, and prior-to-posterior comparisons. We conclude that satisfying all the desiderata is impossible, but counterfactual comparisons satisfy the most while absolute disclosure risk satisfies the fewest. Furthermore, we explain that many of the criticisms levied against differential privacy would be levied against any technology that is not equivalent to direct, unrestricted access to confidential data. Thus, more research is needed, but in the near-term, the counterfactual approach appears best-suited for privacy-utility analysis.
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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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Why are employer-sponsored health insurance premiums higher in the public sector than in the private sector?
February 2019
Working Paper Number:
CES-19-03
In this article, we examine the factors explaining differences in public and private sector health insurance premiums for enrollees with single coverage. We use data from the 2000 and 2014 Medical Expenditure Panel Survey-Insurance Component, along with decomposition methods, to explore the relative explanatory importance of plan features and benefit generosity, such as deductibles and other forms of cost sharing, basic employee characteristics (e.g., age, gender, and education), and unionization. While there was little difference in public and private sector premiums in 2000, by 2014, public premiums had exceeded private premiums by 14 to 19 percent. We find that differences in plan characteristics played a substantial role in explaining premium differences in 2014, but they were not the only, or even the most important, factor. Differences in worker age, gender, marital status, and educational attainment were also important factors, as was workforce unionization.
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Investigating the Use of Administrative Records in the Consumer Expenditure Survey
March 2018
Working Paper Number:
carra-2018-01
In this paper, we investigate the potential of applying administrative records income data to the Consumer Expenditure (CE) survey to inform measurement error properties of CE estimates, supplement respondent-collected data, and estimate the representativeness of the CE survey by income level. We match individual responses to Consumer Expenditure Quarterly Interview Survey data collected from July 2013 through December 2014 to IRS administrative data in order to analyze CE questions on wages, social security payroll deductions, self-employment income receipt and retirement income. We find that while wage amounts are largely in alignment between the CE and administrative records in the middle of the wage distribution, there is evidence that wages are over-reported to the CE at the bottom of the wage distribution and under-reported at the top of the wage distribution. We find mixed evidence for alignment between the CE and administrative records on questions covering payroll deductions and self-employment income receipt, but find substantial divergence between CE responses and administrative records when examining retirement income. In addition to the analysis using person-based linkages, we also match responding and non-responding CE sample units to the universe of IRS 1040 tax returns by address to examine non-response bias. We find that non-responding households are substantially richer than responding households, and that very high income households are less likely to respond to the CE.
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Estimating the Costs of Covering Dependents through Employer-Sponsored Plans
January 2017
Working Paper Number:
CES-17-48
Several health reform microsimulation models use synthetic firms to estimate how changes in federal and state policies will affect employers' offers of health insurance, as well as the price of health insurance for workers and firms. These models typically rely on distinct measures of the average costs of single and dependent coverage, for employees and employers, which do not capture the joint distribution of these costs. Since some firms pay a large share of the premium for single polices but a lower share for dependent coverage, or the reverse, simulation models that do not account for the joint distribution of premium costs may not be sufficient to answer certain policy questions. To address this issue, we developed a method to extract estimates of the joint distribution of employer and employee costs of health insurance coverage from the Medical Expenditure Panel Survey ' Insurance Component (MEPS-IC). This paper describes how these distributions were constructed and how they were incorporated into the Urban Institute's Health Insurance Policy Simulation Model (HIPSM). The estimates presented in this paper and those available in supplementary datasets may be useful for other simulation models that need to utilize information on the joint distribution of single and dependent employee premium contributions.
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Employer-Sim Microsimulation Model:
Model Development and Application to Estimation of Tax Subsidies to Health Insurance
December 2014
Working Paper Number:
CES-14-46
Employment-related health coverage is the predominant form of health insurance in the nonelderly, US population. Developing sound policies regarding the tax treatment of employer-sponsored insurance requires detailed information on the insurance benefits offered by employers as well as detailed information on the characteristics of employees and their familes. Unfortunately, no nationally representative data set contains all of the necessary elements. This paper describes the development of the Employer-Sim model which models tax-based health policies by using data on workers from the Medical Expenditure Panel Survey Household Component (MEPS HC) to form synthetic workforces for each establishment in the Medical Expenditure Panel Survey Insurance Component (MEPS IC). This paper describes the application of Employer-Sim to estimating tax subsidies to employer-sponsored health insurance and presents estimates of the cost and indcidence of the subsidy for 2008. The paper concludes by discussing other potential applications of the Employer-Sim model.
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COMPARING METHODS FOR IMPUTING EMPLOYER HEALTH INSURANCE CONTRIBUTIONS IN THE CURRENT POPULATION SURVEY
August 2013
Working Paper Number:
CES-13-41
The degree to which firms contribute to the payment of workers' health insurance premiums is an important consideration in the measurement of income and for understanding the potential impact of the 2010 Affordable Care Act on employment-based health insurance participation. Currently the U.S. Census Bureau imputes employer contributions in the Annual Social and Economic Supplement of the Current Population Survey based on data from the 1977 National Medical Care Expenditure Survey. The goal of this paper is to assess the extent to which this imputation methodology produces estimates reflective of the current distribution of employer contributions. The paper uses recent contributions data from the Medical Expenditure Panel Survey-Insurance Component to estimate a new model to inform the imputation procedure and to compare the resulting distribution of contributions. These new estimates are compared with those produced under current production methods across employee and employer characteristics.
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A Guide to the MEPS-IC Government List Sample Microdata
September 2011
Working Paper Number:
CES-11-27
The Medical Expenditure Panel Survey-Insurance Component (MEPS-IC) is conducted to provide nationally representative estimates on employer sponsored health insurance. MEPSIC data are collected from private sector employers, as well as state and local governments. While similar information is gathered from these two sectors, differences in the survey process exist. The goal of this paper is to provide details on the public sector including types of state and local government employers, sample design, general information on the data collected in the MEPS-IC, and additional sources of information.
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Declines in Employer Sponsored Coverage Between 2000 and 2008: Offers, Take-Up, Premium Contributions, and Dependent Options
September 2010
Working Paper Number:
CES-10-23
Even before the current economic downturn, rates of employer-sponsored insurance (ESI) declined substantially, falling six percentage points between 2000 and 2008 for nonelderly Americans. During a previously documented decline in ESI, from 1987 to 1996, the fall was found to be the result of a reduction in enrollment or 'take-up' of offered coverage and not a decline in employer offer/eligibility rates. In this paper, we investigate the components of the more recent decline in ESI coverage by firm size, using data from the MEPS-IC, a large nationally representative survey of employers. We examine changes in offer rates, eligibility rates and take-up rates for coverage, and include a new dimension, the availability of and enrollment in dependent coverage. We investigate how these components changed for employers of different sizes and find that declining coverage rates for small firms were due to declines in both offer and take-up rates while declining rates for large firms were due to declining enrollment in offered coverage. We also find a decrease in the availability of dependent coverage at small employers and a shift towards single coverage across employers of all sizes. Understanding the components of the decline in coverage for small and large firms is important for establishing the baseline for observing the effects of the current economic downturn and the implementation of health insurance reform.
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