Search results for "IGAP"

showing 7 items of 7 documents

Genetically elevated gamma-glutamyltransferase and Alzheimer's disease

2018

Observational epidemiological evidence supports a linear and independent association between serum gamma-glutamyltransferase (GGT) concentrations and the risk of Alzheimer's disease (AD). However, the causality of this association has not been previously investigated. We sought to assess the causal nature of this association using a Mendelian randomization (MR) approach. Using inverse-variance weighted MR analysis, we assessed the association between GGT and AD using summary statistics for single nucleotide polymorphism (SNP)-AD associations obtained from the International Genomics of Alzheimer's Project of 17,008 individuals with AD and 37,154 controls. We used 26 SNPs significantly associ…

0301 basic medicineOncologyAgingentsyymitDisease030204 cardiovascular system & hematologyAlzheimerin tautiBiochemistryGWAS genome-wide association studiestransferaasit0302 clinical medicineEndocrinologyEpidemiologyMedicineNHGRI National Human Genome Research InstituteGamma-glutamyltransferasebiologyMR Mendelian randomizationGenetic Pleiotropyta3142SNP single nucleotide polymorphismAlzheimer's disease3. Good healthEuropeAD Alzheimer's diseasegeneettiset tekijätmedicine.medical_specialtySingle-nucleotide polymorphismGRS genetic risk scoreta3111Polymorphism Single NucleotideArticle03 medical and health sciencesAlzheimer DiseaseInternal medicineMendelian randomizationGeneticsMendelian randomizationSNPHumansMolecular Biologybusiness.industryGGT gamma-glutamyltransferaseIGAP International Genomics of Alzheimer's ProjectGenetic VariationGamma-glutamyltransferaseCell BiologyOdds ratioMendelian Randomization AnalysisConfidence intervalCI confidence intervalOR odds ratio030104 developmental biologyCase-Control Studiesbiology.proteinbusinessSD standard deviationGenome-Wide Association StudyExperimental Gerontology
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The welfare cost of unpriced heterogeneity in insurance markets

2016

We consider the welfare loss of unpriced heterogeneity in insurance markets, which results when private information or regulatory constraints prevent insurance companies to set premiums reflecting expected costs. We propose a methodology which uses survey data to measure this welfare loss. After identifying some “types” which determine expected risk and insurance demand, we derive the key factors defining the demand and cost functions in each market induced by these unobservable types. These are used to quantify the efficiency costs of unpriced heterogeneity. We apply our methods to the US Long-Term Care and Medigap insurance markets, where we find that unpriced heterogeneity causes substan…

Economics and EconometricsActuarial sciencemedia_common.quotation_subject05 social sciencesMedigap InsuranceGeneral insurance01 natural sciencesUnobservableMicroeconomics010104 statistics & probabilitySettore SECS-P/03 - Scienza Delle Finanze0502 economics and businessunpriced heterogeneityEconomicsDeadweight lossSurvey data collection050207 economics0101 mathematicsInefficiencyWelfarePrivate information retrievalinsurance marketsmedia_common
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Testing for Asymmetric Information in Insurance Markets: A Multivariate Ordered Regression Approach

2016

The positive correlation (PC) test is the standard procedure used in the empirical literature to detect the existence of asymmetric information in insurance markets. This article describes a new tool to implement an extension of the PC test based on a new family of regression models, the multivariate ordered logit, designed to study how the joint distribution of two or more ordered response variables depends on exogenous covariates. We present an application of our proposed extension of the PC test to the Medigap health insurance market in the United States. Results reveal that the risk–coverage association is not homogeneous across coverage and risk categories, and depends on individual so…

Economics and EconometricsMultivariate statistics05 social sciencesOrdered probitRegression analysis01 natural sciencesRegressionMedigap010104 statistics & probabilityJoint probability distributionAccounting0502 economics and businessCovariateEconometricsEconomicsOrdered logit050207 economics0101 mathematicsFinanceJournal of Risk and Insurance
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The Effect Of Supplemental Insurance On Health Care Demand With Multiple Information: A Latent Class Analysis

2009

The Medicare program, which provides insurance coverage to the elderly in the United States, does not protect them fully against high out-of-pocket costs. For this reason private supplementary insurance, named Medigap, has been available to cover Medicare gaps. This paper studies how Medigap affects the utilization of health care services. The decision to take out supplemental insurance is likely to be infuenced by unobservable attributes such as actual risk type and insurance preferences. Empirical appraisals to this problem typically rely on the recursive bivariate probit. We exploit the Health and Retirement Study data and some recent advances on latent class analysis to jointly model th…

Health Care DemandLatent Class ModelAsymmetric In- formationMedigapHealth Insurance
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Incentive and Selection Effects of Medigap Insurance on Inpatient Care

2012

The Medicare program, which provides insurance coverage to the elderly in the United States, does not protect them fully against high out-of-pocket costs. For this reason private supplementary insurance, named Medigap, has been available to cover Medicare gaps. This paper studies how Medigap affects the utilization of inpatient care, separating the incentive and selection effects of supplementary insurance. For this purpose, we use two alternative estimation methods: a standard recursive bivariate probit and a discrete multivariate finite mixture model. We find that estimated incentive effects are modest and quite similar across models. On the other hand, there seems to be very significant …

MaleAsymmetric informationMedigap InsuranceMedicareMedigapHealth care demandMedigapHealth insuranceInformation asymmetryEconomicsHumansFinite mixture modelsSelection (genetic algorithm)AgedMotivationActuarial scienceModels StatisticalInpatient careHealth PolicyPublic Health Environmental and Occupational HealthInsurance MedigapUnited StatesHospitalizationIncentiveMedicare ProgramMultivariate AnalysisFemaleEstimation methods
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Risk Preference Heterogeneity and Multiple Demand for Insurance

2010

We examined the relationship between unobserved risk preferences and four insurance purchase decisions: health Medigap insurance, long-term insurance, life insurance and annuity. Standard economic theory assumes that individuals take decision over a set of risky domains according to their own risk preferences which are stable across decision contexts. This assumption of context-invariant risk preference has caused debate in the literature concerning its validity. Using data from the Health and Retirement Study, we exploit latent class analysis to identify conditional on predicted and realized risk how heterogeneity in risk preferences affects multiple insurance demand. Our results provide e…

Risk Preferences Multiple Demand for Insurance Finite Mixture Model Long-Term Care Insurance Medigap Annuity Life Insurance
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Testing for Asymmetric Information in Insurance Markets: A Multivariate Ordered Regression Approach

2018

The positive correlation (PC) test is the standard procedure used in the empirical literature to detect the existence of asymmetric information in insurance markets. This article describes a new tool to implement an extension of the PC test based on a new family of regression models, the multivariate ordered logit, designed to study how the joint distribution of two or more ordered response variables depends on exogenous covariates. We present an application of our proposed extension of the PC test to the Medigap health insurance market in the United States. Results reveal that the risk–coverage association is not homogeneous across coverage and risk categories, and depends on individual so…

Settore SECS-P/03 - Scienza Delle FinanzeAsymmetric Information medigap multivariate ordered logit
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