EBK HEALTH ECONOMICS
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ISBN: 9781137029973
Author: TU
Publisher: YUZU
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Chapter 4, Problem 5E
To determine
Determine whether the given statement is true or false.
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- Indicate whether the statement is true or false, and justify your answer.In a typical Beveridge system, patients are able to enter queues to see specialists automatically.arrow_forwardIndicate whether the statement is true or false, and justify your answer.The ratio of a disease’s prevalence to its incidence is constant.arrow_forwardIndicate whether the statement is true or false, and justify your answer.A primary cause of increasing uninsurance in the US over the past decade is that more employers are deciding to stop providing health insurance coverage entirely.arrow_forward
- Indicate whether the statement is true or false, and justify your answer.Japan’s population is not aging along with the rest of the developed world.arrow_forwardIndicate whether each statement is true or false, and justify your answer.A dominated treatment is one that is less cost-effective than another treatment (even though it may produce better medical outcomes).arrow_forwardOne major premise of the Rothschild-Stiglitz (RS) model is that there is a perfectly competitive market for health insurance. Suppose instead that the market is not perfectly competitive, and in fact competitor firms have a hard time entering the market. Could a pooling equilibrium occur in this case? What is it about competition that prevents pooling in the RS model? No formal proof is necessary, but do make your reasoning clear. Evaluate the following statement: competition in health insurance markets is harmful.arrow_forward
- Indicate whether the statement is true or false, and justify your answer.In the framework of the Grossman model, an individual’s level of health is completely controlled by her actions. Thus, in any given period, an individual is unconstrained in her choice of health status.arrow_forward1. True or False (Justify your answer briefly) (a) Potential outcomes are never observed. (b) Let Y0i and Y1i be the two potential outcomes from a binary treatment. The causal effect of the treatment on the outcome for observation i is Y1i − Y0i. (c) If we assume the individual treatment effect τi = Y1i − Y0i is the same across i, then τi can be estimated. (d) Random assignment is the same as random sampling. (e) Sampling bias is the same as selection bias. (f) If treatment is randomly assigned, then treatment is independent of the outcome.arrow_forwardHere is a selection from an abstract of a recent study entitled “The effect of health insurance coverage on the use of medical services” by Michael Anderson, Carlos Dobkin, and Tal Gross (2010). NBER Working paper No. 15823. Substantial uncertainty exists regarding the causal effect of health insurance on the utilization of care. Most studies cannot determine whether the large differences in healthcare utilization between the insured and the uninsured are due to insurance status or to other unobserved differences between the two groups. In this paper, we exploit a sharp change in insurance coverage rates that results from young adults “aging out” of their parents insurance plans to estimate the effect of insurance coverage on the utilization of emergency department (ED) and inpatient services. [In the US, children are eligible for insurance coverage through their parents’ insurance only up to their 23rd birthday, at which point they lose eligibility.] Using the National Health…arrow_forward
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