Identification of Physician-Induced Demand

Rossiter, Louis F.; Wilensky, Gail R.

doi:10.2307/145565

Cited by 66 publications

(42 citation statements)

References 7 publications

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“…In this sense, insurers do not audit suspicious cases when costs are high enough, representing costly state verification in the standard theoretical framework. 18 As we have shown, average claim amounts are 16 See for example Arrow (1963) and Rossiter and Wilensky (1984). 17 Mayers and Smith (1981).…”

Section: How Do the Insurers React?mentioning

confidence: 85%

Expiration Dates in Automobile Insurance Contracts: The Curious Case of Last Policy Month Claims in Taiwan

Liu

Peng

2013

Geneva Risk Insur Rev

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This paper investigates a widespread trend in the Taiwanese automobile insurance market in which the loss claims of vehicle damage insurance contracts have a high propensity to occur just before the end of the policy year (as opposed to calendar year). We show that certain uncommon characteristics of claim data are consistently observed in the last policy month. We indirectly show that there is a severe timevarying excess claim problem in this market. The major sources of excess claims can be explained by the bonus-malus system problem and the auto-dealer incentive issue.

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Section: How Do the Insurers React?mentioning

confidence: 85%

Expiration Dates in Automobile Insurance Contracts: The Curious Case of Last Policy Month Claims in Taiwan

Liu

Peng

2013

Geneva Risk Insur Rev

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“…Like Rossiter and Wilensky [2], Tussing [1,3] had the advantage of utilisation data that could distinguish between physicianinitiated and patient-initiated visits. He asked patients attending GPs whether the present consultation was their own or the GP's idea and in addition, whether the visit led to a future return visit being arranged.…”

Section: Introductionmentioning

confidence: 99%

“…Thus if there is a higher incidence of underlying health problems in those areas with the highest physician density then a positive correlation may be observed between density and utilisation, even though no inducement is taking place. 2 Despite numerous studies analysing SID in this context, evidence in favour of SID has been mixed. In a sequence of papers examining SID in the Norwegian health system, Carlsen and Grytten [5],…”

Section: Introductionmentioning

confidence: 99%

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GP reimbursement and visiting behaviour in Ireland

Madden

Nolan

2005

Health Econ.

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SUMMARYIn Ireland, approximately 30 per cent of the population ("medical cardholders") receive free GP services while the remainder ("non-medical cardholders") must pay for each visit. In 1989, the manner in which GPs were reimbursed by the State for their medical cardholder patients was changed from fee-for-service to capitation while other patients continued to pay on a fee-for-service basis. Concerns about supplier-induced demand were in part responsible for this policy change. The purpose of this paper is to examine the extent to which the utilisation of GP services is influenced by the reimbursement system facing GPs, by comparing visiting rates for the two groups before and after this change. Using a difference-in-differences approach on pooled micro-data from 1987, 1995 and 2000, we find that medical card eligibility exerts a consistently positive and significant effect on the utilisation of GP services. However, the differential in visiting rates between medical cardholders and others did not narrow between 1987 and 1995 or 2000, as might have been anticipated if supplier-induced demand played a major role prior to the change in reimbursement system.

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“…3 Moreover, suppliers' location choice (reverse causality) or excess demand for care might be responsible for a positive relationship between the supply density and the expenditure. One effective way to do so is to employ a two-part model, which divides total medical costs into two components: the probability of receiving medical services, and medical costs per patient (see, e.g., Escarce (1992), Rossiter and Wilensky (1984)). Using such an approach, Escarce (1992), for example, found that physician density affects the share of patients who go to receive medical services, but it does not affect the medical expenditure for the patients.…”

Section: Introductionmentioning

confidence: 99%

Supplier density and at-home care use in Japan: Evidence from a micro-level survey on long-term care receivers

Noguchi¹,

Shimizutani²

2009

Japan and the World Economy

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Following the introduction of the long-term care insurance scheme and deregulation of the market for at-home care services, Japan experienced a substantial increase in expenditure on care for the elderly. Using household-level survey data, we empirically examine whether the increase in care expenditure is associated with supplier density springing from the rise in the number of care providers following deregulation. We provide weak evidence that supplier density in the at-home care market is positively correlated with probability to use care or expenditure on care.Moreover, we find no link between the share of for-profit providers and the demand for at-home care services.

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Identification of Physician-Induced Demand

Cited by 66 publications

References 7 publications

Expiration Dates in Automobile Insurance Contracts: The Curious Case of Last Policy Month Claims in Taiwan

Expiration Dates in Automobile Insurance Contracts: The Curious Case of Last Policy Month Claims in Taiwan

GP reimbursement and visiting behaviour in Ireland

Supplier density and at-home care use in Japan: Evidence from a micro-level survey on long-term care receivers

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