scholarly journals Are Health Insurance Markets Competitive?

2010 ◽  
Vol 100 (4) ◽  
pp. 1399-1431 ◽  
Author(s):  
Leemore S Dafny
Keyword(s):  
Health Insurance ◽  
Insurance Industry ◽  
National Database ◽  
Insurance Markets ◽  
Health Plans ◽  
Ceteris Paribus ◽  
Health Insurance Markets ◽  
Imperfectly Competitive ◽  
Health Insurance Industry ◽  
Group Health Insurance

To gauge the competitiveness of the group health insurance industry, I investigate whether health insurers charge higher premiums, ceteris paribus, to more profitable firms. Such “direct price discrimination” is feasible only in imperfectly competitive settings. Using a proprietary national database of health plans offered by a sample of large, multisite firms from 1998–2005, I find firms with positive profit shocks subsequently face higher premium growth, even for the same health plans. Moreover, within a given firm, those sites located in concentrated insurance markets experience the greatest premium increases. The findings suggest health care insurers are exercising market power in an increasing number of geographic markets. (JEL G22, I11, I18, L11, L25)

Contending with Risk Selection in Health Insurance Markets in Germany

2006 ◽  
Vol 7 (Supplement) ◽  
pp. 75-91 ◽  
Author(s):  
Jacob Glazer ◽  
Thomas G. McGuire
Keyword(s):  
Health Insurance ◽  
Risk Adjustment ◽  
Simple Approach ◽  
Insurance Markets ◽  
Risk Selection ◽  
Health Plans ◽  
Health Insurance Markets ◽  
The U.S

Abstract In many countries, competition among health plans or sickness funds raises issues of risk selection. Funds may discourage or encourage potential enrollees from joining, and these actions may have efficiency or fairness implications. This article reviews the experience in the U.S., and comments on the evidence for risk selection in Germany. There is little evidence that risk selection causes efficiency problems in Germany, but risk selection does lead to an inequality in contribution rates. A simple approach to equalizing contribution rates that does not involve risk adjustment is presented and discussed.

Data Impediments to Empirical Work on Health Insurance Markets

2011 ◽  
Vol 11 (2) ◽  
Author(s):  
Leemore Dafny ◽  
David Dranove ◽  
Frank Limbrock ◽  
Fiona Scott Morton
Keyword(s):  
Health Insurance ◽  
Insurance Industry ◽  
Empirical Work ◽  
State Level ◽  
Investment Bank ◽  
Discharge Data ◽  
Health Insurance Markets ◽  
Market Shares ◽  
High Volatility ◽  
Health Insurance Industry

Abstract We compare four datasets that researchers might use to study competition in the health insurance industry. We show that the two datasets most commonly used to estimate market concentration differ considerably from each other (both in levels and in changes over time), and reflect implausibly high volatility in market shares. By comparison, market share volatility is much lower in a private dataset gathered by a leading investment bank, and in state-level hospital discharge data. We also demonstrate that the outcome of regressions using these data vary considerably by the source used. We conclude that researchers should be cautious about using available data and recommend a new source be developed for public use.

Community Rating And Sustainable Individual Health Insurance Markets In New Jersey

2004 ◽  
Vol 23 (4) ◽  
pp. 167-175 ◽  
Author(s):  
Alan C. Monheit ◽  
Joel C. Cantor ◽  
Margaret Koller ◽  
Kimberley S. Fox
Keyword(s):  
Health Insurance ◽  
New Jersey ◽  
Insurance Markets ◽  
Community Rating ◽  
Individual Health ◽  
Health Insurance Markets

scholarly journals Health Insurance as a Healthcare Financing Mechanism in India: Key Strategic Insights and a Business Model Perspective

2021 ◽  
pp. 025609092110270
Author(s):  
Rohit Kumar ◽  
Aditya Duggirala
Keyword(s):  
Health Insurance ◽  
Business Model ◽  
Critical Success Factors ◽  
Success Factors ◽  
Insurance Industry ◽  
Insurance Companies ◽  
Healthcare Financing ◽  
Strategic Choices ◽  
Critical Success ◽  
Health Insurance Industry

This study provides strategic insights and a business model perspective on health insurance as a vehicle for financing healthcare. It uses both primary (expert interview) and secondary data to investigate the overall disease burden and healthcare industry trends and track healthcare financing through the health insurance mechanism in India. To identify the critical success factors and to gain a business model perspective within the health insurance industry, telephonic and face-to-face interviews were held with 27 experts in the healthcare, insurance, and strategic management field. The study’s findings suggest that the growth of health insurance as a healthcare financing mechanism in India has been challenged continuously and impacted by multiple changes in the health insurance and healthcare industry over the last decade. One of the critical challenges faced by insurance companies is the high incurred claim ratio. We find the Indian health insurance industry to be very competitive and that the focus on critical success factors can help insurance companies gain a competitive advantage. The health insurance business model is unique, with varying configurations, and broadly comprises strategic choices and consequences. In this article, drawing from the strategic management literature on the resource-based view (RBV) and insights gained from the interviews of healthcare and health insurance experts, we highlight the six critical success factors relevant for competing in the health insurance business. We also list five strategic choices that can help health insurance companies improve their profitability and gain a sustained competitive advantage. We recommend that the insurance companies design and develop an innovative business model centred around lowering the claim ratio and simultaneously increasing the customer willingness to pay. To increase the customer willingness to pay and reduce the claim ratio, the insurance companies should focus on the six critical success factors and invest in the five strategic choices.

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