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NEW EVIDENCE ON EMPLOYER PRICE-SENSITIVITY OF OFFERING HEALTH INSURANCE

January 2014

Working Paper Number:

CES-14-01

Abstract

Economic incentives such as the preferential tax treatment of premiums and economies of scale encourage employers to provide health insurance through the workplace. The employer's decision to offer health insurance depends on how much workers value insurance relative to wages, and that value is likely to vary, given the composition of the establishment's workforce. Using the 2008-2010 MEPS Insurance Component augmented with information from other data sources, we generate new estimates of employers' price-sensitivity of offering insurance. Our results suggest that employers are sensitive to changes in the tax price of insurance, with very small employers exhibiting the largest price-sensitivity. Employer size, workforce composition, and local labor market conditions also influence the employer's decision to offer insurance. New evidence can inform policy discussions about the implications of broad-based reforms that change marginal tax rates as well as targeted strategies that address the tax-exempt status of premiums.

Document Tags and Keywords

Keywords Keywords are automatically generated using KeyBERT, a powerful and innovative keyword extraction tool that utilizes BERT embeddings to ensure high-quality and contextually relevant keywords.

By analyzing the content of working papers, KeyBERT identifies terms and phrases that capture the essence of the text, highlighting the most significant topics and trends. This approach not only enhances searchability but provides connections that go beyond potentially domain-specific author-defined keywords.
:
economist, econometric, payroll, incentive, subsidy, insurance, tax, policy, coverage, premium, medicare, medicaid, insurance employer, uninsured, enrollee, insurer, insurance premiums

Tags Tags are automatically generated using a pretrained language model from spaCy, which excels at several tasks, including entity tagging.

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:
National Bureau of Economic Research, Medical Expenditure Panel Survey, Social Security, Research Data Center

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