Literature DB >> 17116109

Health insurance take-up by the near-elderly.

Thomas C Buchmueller1, Sabina Ohri.   

Abstract

OBJECTIVE: To examine the effect of price on the demand for health insurance by early retirees between the ages of 55 and 64. DATA SOURCE: Administrative health plan enrollment data from a medium-sized U.S. employer. STUDY
DESIGN: The analysis takes advantage of a natural experiment created by the firm's health insurance contribution policy. The amount the firm contributes toward retiree health insurance coverage depends on when a person retired and her years of service at that date. As a result of this policy, there is considerable variation in out-of-pocket premiums faced by individuals in the data. This variation is independent of the nonprice attributes of the health insurance plans offered and is plausibly exogenous to individual characteristics that are likely to affect the demand for insurance. A probit model is used to estimate the decision to take-up employer-sponsored health insurance by early retirees between the ages of 55 and 64. Demand for insurance is measured as a function of out-of-pocket premiums and a set of individual characteristics. PRINCIPAL
FINDINGS: We find that price has a small but statistically significant effect on the decision to take up coverage. Estimated price elasticities range from -0.10 to -0.16, depending on the sample.
CONCLUSIONS: The implied elasticities are comparable with results found in previous studies using very different data. Our estimates indicate that policy proposals for a Medicare buy-in or a nongroup tax credit will have a modest impact on take-up rates of near-elderly retirees.

Entities:  

Mesh:

Year:  2006        PMID: 17116109      PMCID: PMC1955307          DOI: 10.1111/j.1475-6773.2006.00593.x

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  13 in total

1.  Moving to Medicare: trends in the health insurance status of near-elderly workers, 1987-1996.

Authors:  A C Monheit; J P Vistnes; J M Eisenberg
Journal:  Health Aff (Millwood)       Date:  2001 Mar-Apr       Impact factor: 6.301

Review 2.  Individual versus job-based health insurance: weighing the pros and cons.

Authors:  M Pauly; A Percy; B Herring
Journal:  Health Aff (Millwood)       Date:  1999 Nov-Dec       Impact factor: 6.301

3.  Betwixt and between: targeting coverage reforms to those approaching Medicare.

Authors:  D G Shea; P F Short; M P Powell
Journal:  Health Aff (Millwood)       Date:  2001 Jan-Feb       Impact factor: 6.301

4.  A workable solution for the pre-Medicare population.

Authors:  P F Short; D G Shea; M P Powell
Journal:  Inquiry       Date:  2001       Impact factor: 1.730

5.  Market failure? Individual insurance markets for older Americans.

Authors:  E Simantov; C Schoen; S Bruegman
Journal:  Health Aff (Millwood)       Date:  2001 Jul-Aug       Impact factor: 6.301

6.  Worker decisions to purchase health insurance.

Authors:  L J Blumberg; L M Nichols; J S Banthin
Journal:  Int J Health Care Finance Econ       Date:  2001 Sep-Dec

7.  The effect of premiums on the decision to participate in health insurance and other fringe benefits offered by the employer: evidence from a real-world experiment.

Authors:  Anne Beeson Royalty; John Hagens
Journal:  J Health Econ       Date:  2005-01       Impact factor: 3.883

8.  Subsidies to employee health insurance premiums and the health insurance market.

Authors:  Jonathan Gruber; Ebonya Washington
Journal:  J Health Econ       Date:  2004-12-19       Impact factor: 3.883

9.  Retiree health insurance: recent trends and tomorrow's prospects.

Authors:  Lauren A McCormack; Jon R Gabel; Nancy D Berkman; Heidi Whitmore; Kay Hutchison; Wayne L Anderson; Jeremy Pickreign; Nathan West
Journal:  Health Care Financ Rev       Date:  2002
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  2 in total

Review 1.  Differences in price elasticities of demand for health insurance: a systematic review.

Authors:  Jonas B Pendzialek; Dusan Simic; Stephanie Stock
Journal:  Eur J Health Econ       Date:  2014-11-15

2.  The impact of CHIP premium increases on insurance outcomes among CHIP eligible children.

Authors:  Silviya Nikolova; Sally Stearns
Journal:  BMC Health Serv Res       Date:  2014-03-03       Impact factor: 2.655

  2 in total

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