The Determinants of Optional Insurance Coverage with FlexibleSpending Accounts in Post-Affordable Care Act-USA

Motivated by the theoretical model of health insurance choice with Flexible Spending Accounts (FSAs) presented in Cardon 2012, this study investigates the determinants of optional coverage (SSP) and flexible spending accounts (FSA) enrollment, among the privately insured in post-affordable-care-act (ACA) USA. To this end, we rely on semi-parametric bi-variate probit methods, along with a pooled cross-section of the 2015-2016 National Health Interview Surveys. As predicted by the theoretical model, we find that SSP and FSA are complement health solutions with a positive correlation. Our results emphasize that the most important trigger factors influencing the joint probability of SSP and FSA adoption include not only insurance premium cost, but also age, education, marital status, number of work hours, region of residency, citizenship status, and annual health expenditure level. We find that controlling for these latter factors, health status is not significant especially for FSA adoption. In addition, despite the fact that the relative frequency of individuals with FSA rises with increasing levels of medical expenditure, ACA restrictions on FSA tax exclusion to an annual adjusted maximum of $2600 (in 2017 $s) seems to adversely burden individuals with greater medical expenditure, thereby reducing their likelihood of FSA enrollment in post-ACA USA. Understanding these factors is very crucial to US health care market's stakeholders, including insurance companies, firms looking to design their health insurance offerings, but also policy-makers interested in providing new tailored health solutions for reducing health risks.

FUZZY MULTIATTRIBUTE CONSUMER CHOICE AMONG HEALTH INSURANCE OPTIONS

People buy insurance to protect themselves against possible financial loss in the future. Health insurance provides protection against the possibility of financial loss due to health care use. A selection among health insurance options is a multiattribute decision making problem including many conflicting criteria. This problem can be better solved using the fuzzy set theory since human decision making is generally based on vague and linguistic data. We propose an integrated methodology composed of fuzzy AHP and fuzzy TOPSIS to select the best health insurance option. The considered option types, Health Savings Account (HSA), Flexible Spending Accounts (FSA), and Health Reimbursement Arrangement (HRA) are evaluated using eight different criteria under fuzziness. A sensitivity analysis is also realized.

The Distributional Effects of Health Reform Limits on Flexible Spending Accounts

Flexible spending accounts (FSAs) are a widely used arrangement that allow employees to pay for qualified out-of-pocket health expenses with pre-tax dollars. The tax preference given to FSAs has been controversial and recent health care law (Patient Protection and Affordable Care Act and Health Care and Education Reconciliation Act) limits the tax exclusion to an inflation-adjusted value of $2,500 (2013 $s). The limit is estimated to increase federal payroll and income tax receipts by $13 billion between 2013 and 2019. But the welfare implications of this change are unclear.This paper uses a unique panel dataset to explore the demographic profile of households likely to be affected by the tax increase. We use a sample of 19,322 households observed over the period 1998–2008. The data include FSA expenditures, insurance claim information for covered medical and dental expenditures, and household demographic information. We explore patterns of FSA usage by income and health status.We find that households likely to be affected by the tax increase disproportionately tend to be households experiencing one or more chronic health conditions. The existence of chronic illness is associated with relatively high and persistent medical expenses and also with relatively older and wealthier households. We estimate an average tax increase of $101 in 2013 for 13.9 million households with an FSA.