TABLE 4-VARIOUS MEASURES OF PREDICTED ANNUAL USE OF MEDICAL SERVICES,BY INCOME GROUPi)ii)PlanLikelihood of Any Use (Percent)82.8FreeFamily Pay25 Percent50 Percent95 PercentIndividualLowestThirdMean50 Percent95 PercentIndividualDeductibleExpenses (1984 $)FreeFamily Pay25 Percent50 Percent95 PercentIndividualDeductible71.864.761.710.039.088.779.26Deductible65.3Likelihood of One or More Admissions (Percent)FreeFamily Pay10.6325 Percent788680610581IncomeMiddleThirdMean87.460980.176.268.973.910.148.448.067.389.44736588550494HighestThirdMean59490.184.882.373.879.110.357.977.777.079.88809623590527Significance Testston Contrast of:670Middlevs. LowestThirds4.915.454.353.966.09-0.91-2.95-1.78-2.790.31-1.78-3.17-1.89-3.09Highestvs. LowestThirds5.906.284.864.647.09-0.35-2.75-1.66-2.46-0.57Assume average income in the bottom, middle, and top income terciles make $15,000,$50,000, and $100,000, respectively. Focusing on expenses as the outcome (among thepeople randomized to the "Free" plan), what is the income elasticity of demand forhealthcare using the midpoint method by comparingMiddle vs Lowest tercilesTop vs Lowest terciles0.680.53-1.47-0.49-1.411.38

Income elasticity of demand (YED) is a measure in economics that quantifies the responsiveness of…

Assume average income in the bottom, middle, and top income terciles make $15,000 $50,000, and $100,000, respectively. Focusing on expenses as the outcome (among th people randomized to the "Free" plan), what is the income elasticity of demand for healthcare using the midpoint method by comparing Middle vs Lowest terciles Ton vs I owest terciles i) A

Assume average income in the bottom, middle, and top income terciles make $15,000 $50,000, and $100,000, respectively. Focusing on expenses as the outcome (among th people randomized to the "Free" plan), what is the income elasticity of demand for healthcare using the midpoint method by comparing Middle vs Lowest terciles Ton vs I owest terciles i) A

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

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The following is an abstract from the paper "Discrimination in Health Care: A Field Experiment on the Impact of Patients' Socioeconomic Status on Access to Care," by Silvia Angerer, Christian Waibel, and Harald Stummer. We employ a large-scale field experiment to investigate the impact of patients' socioeconomic status on access to care. We request an appointment at more than 1,200 physicians in Austria, varying the educational level of the patient. Our results show that overall patients with a university degree receive an appointment significantly more often than patients without a degree. Differentiating between practice assistants and physicians as responders, we find that physicians provide significantly shorter response times and marginally significant shorter waiting times for appointments for patients with than without a university degree. Our results thus provide unambiguous evidence that discrimination by health providers contributes to the gradient in access to care.…