Macroeconomics
13th Edition
ISBN: 9780134735696
Author: PARKIN, Michael
Publisher: Pearson,
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Chapter 16.3, Problem 5RQ
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The problems that Obamacare seek to resolve.
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Briefly explain how elasticity affects government health policies in the following cases:● Taxes on unhealthy products (cigarettes, alcohol, sugary drinks)● Subsidizing Preventive Care (e.g., vaccines, screenings)● Drug Price Controls & Generic Substitutions● Co-Payments & Insurance Design
Good Day, Kindly assist with the following query:
● Cost–benefit Analysis● Cost-effectiveness analysis● Cost–utility analysis● Cost analysis or Cost Minimization Analysis
For each of the following health policy questions listed below, identify and briefly explain which type of economic evaluation in question above would be most appropriate to use:
● The Ministry of Finance wants to know whether it is worth investing further resources into malaria control or building new primary schools?
● The Ministry of Health wants to compare the costs of receiving intravenous antibiotics in a hospital with receiving the same antibiotics (at the same doses) at home via a home health care service.
● The Ministry of Health wants to compare the costs and outcomes of two interventions for the treatment of early stage breast cancer: mastectomy without breast reconstruction compared to breast conserving surgery and radiotherapy (breast conservation).
● A malaria control programme wants to use economic…
Substitute X=20. Can you show me how to do question 1 please
Chapter 16 Solutions
Macroeconomics
Ch. 16.1 - Prob. 1RQCh. 16.1 - Prob. 2RQCh. 16.1 - Prob. 3RQCh. 16.1 - Prob. 4RQCh. 16.2 - Prob. 1RQCh. 16.2 - Prob. 2RQCh. 16.2 - Prob. 3RQCh. 16.2 - Prob. 4RQCh. 16.3 - Prob. 1RQCh. 16.3 - Prob. 2RQ
Ch. 16.3 - Prob. 3RQCh. 16.3 - Prob. 4RQCh. 16.3 - Prob. 5RQCh. 16 - Prob. 1SPACh. 16 - Prob. 2SPACh. 16 - Prob. 3SPACh. 16 - Prob. 4SPACh. 16 - Prob. 5SPACh. 16 - Prob. 6SPACh. 16 - Prob. 7SPACh. 16 - Prob. 8SPACh. 16 - Prob. 9SPACh. 16 - The Economics of Healthcare (Study plan 16.3) Use...Ch. 16 - Prob. 11APACh. 16 - Prob. 12APACh. 16 - Prob. 13APACh. 16 - Prob. 14APACh. 16 - Prob. 15APACh. 16 - Prob. 16APACh. 16 - Prob. 17APACh. 16 - Prob. 18APACh. 16 - Prob. 19APACh. 16 - Prob. 20APACh. 16 - Prob. 21APACh. 16 - Prob. 22APACh. 16 - Prob. 23APACh. 16 - Prob. 24APA
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- 3. Consider the following estimated regression equation, estimated using a sample of firms, where RDis total firm spending on research and development in USD ($), Revenue is total firm revenuein USD ($), and W ages is the firms’ total spending on wages in USD ($) (standard errors inparentheses):RDd = 1000(600)+ 0.5(0.1)Revenue + 1.5(0.5)W ages,(a) Interpret the coefficients on each of the explanatory variables. (b) Which of the three coefficients are statistically significant at the 5% level of significance? Howdo you know? A researcher runs a two-sided statistical test of the null hypothesis that both the coefficients onthe explanatory variables above are jointly equal to 0.25 (mathematically, that β1 = β2 = 0.25),and reports a p-value of 0.045.(c) What does this p-value mean for the outcome of the test? (d) What would an appropriate two-sided alternative hypothesis look like?arrow_forward4. Consider the following regression equation, where Google is equal to 1 if an individual in thesample has worked at Google and 0 otherwise, and Earnings is annual earnings in thousands ofpounds (standard errors in parentheses):Earnings \ = 25000(12.5)+ 42000(7.0)Google,(a) Interpret the coefficient on Google.(b) Is the coefficient on Google statistically significant at the 5% level? How do you know?(c) Suppose that instead of Google we had used a variable called NeverGoogle, equal to 1 if anindividual has never worked at Google and 0 otherwise. (i) How would the slope coefficientchange? (ii) What would happen to the intercept? (d) What prevents us from interpreting the coefficient on Google as a causal effect? Give examplesin your answer.arrow_forward4. Examine the regression table below before answering the questions that follow.Throughout, the Log() function represents the natural logarithm, so that Log(e) =1:Dependent Variable: Log(Expenditures on Cigarettes + 1)Method: Least SquaresVariable Coefficient Std. ErrorConstant 0.50 0.41Log(Income+1) −0.02 0.002(a) Why are the dependent and explanatory variables in the form log(1+x), ratherthan log(x)? (b) Which of the above coefficients are statistically significant? How do you know?(c) Interpret the coefficient on Log(Income+1). (d) What is the predicted level of Log(Expenditures on Cigarettes + 1) for anobserved individual with income of e10 − 1? (4arrow_forward
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