
EBK HEALTH ECONOMICS
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ISBN: 9781137029973
Author: TU
Publisher: YUZU
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Home can produce a maximum of 400 apples or a maximum of 600 bananas.Foreign can produce a maximum of 160 apples or a maximum of 800 bananas.(a) Graph and label Homes PPF. Label each axis and the slope. Use numbers.1(b) In the
absence of trade, what is Homes autarky price of apples in terms of bananas?(c) Graph and label Foreigns production possibility frontier. Use numbers and label the slope.(d) Graph the world relative supply curve. Use numbers.23. (8 pts - RM) Now
suppose world relative demand for apples takes the following form:Demand for apples/demand for bananas - price of bananas/price of apples. That is, RDA = Pbananas Papples(a) Graph the relative demand and relative supply curves on the world
market diagram. Use numbers(b) What is the equilibrium (world) relative price of apples? (c) Show that both Home and Foreign gain from Trade and describe the pattern of trade.
A village has six residents, each of whom has accumulated savings of $100. Each villager can use this money either to
buy a government bond that pays 18 percent interest per year or to buy a year-old llama, send it onto the commons to
graze, and sell it after 1 year. The price the villager gets for the 2-year-old llama depends on the quality of the fleece It
grows while grazing on the commons. That in turn depends on the animal's access to grazing, which depends on the
number of llamas sent to the commons, as shown in the following table:
Number of
11amas on
the
commons
Price per 2-
year-old
11ama ($)
1
125
2
119
3
116
4
113
5
6
111
109
The villagers make their investment decisions one after another, and their decisions are public.
a. If each villager decides Individually how to Invest, how many llamas will be sent onto the commons, and what will
be the resulting village Income?
Number of llamas: [ 20
Instructions: Enter your response as a whole number.
Village Income: $
110
b. What is…
5. Discrimination in the labor market
The following table exhibits the name, gender, height, and minimum wage 10 people are willing to accept to work as travel nurses at a regional hospital.
Name
Gender
Height
Minimum Wage
(Inches)
(Dollars per week)
Cho F 65 $297
Frances F 64 $316
Latasha F 68 $336
Dmitri M 70 $355
Jake M 71 $374
Rosa F 65 $393
Nick M 72 $420
Brian M 71 $439
Tim M 66 $451
Alyssa F 68 $478
The lowest weekly wage that the hospital can spend in order to hire five travel nurses is ________.
Suppose the hiring director of the hospital prefers taller candidates because they think it will increase revenue, and so they impose a requirement that all newly hired travel nurses must have a height of at least 68 inches. With this mandate in place, the weekly wage rate the hospital now must pay in order to hire five travel nurses increases by ________.
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- Problem 3 Stata Output Analysis Suppose a study investigates the causal effect of education on wages. Table 1 reports the results of an OLS regression of wages (wage per hour in dollars) on education (years in education). Table 1 Source SS df MS Number of obs = 3,017 F(1, 3015) = 298.39 Model Residual 18904467 191011981 1 18904467 3,015 63353.8909 Prob > F 0.0000 R-squared 0.0901 Adj R-squared 0.0898 Total 209916448 3,016 69600.9444 Root MSE 251.7 wage Coef. Std. Err. t P>|t| [95% Conf. Interval] education cons 29.56644 183.9342 1.711605 23.15976 17.27 0.000 7.94 0.000 26.21041 138.5237 32.92247 229.3447 a. How would you write this relationship using the Core Model? (5 points) b. What is the value for B₁, the coefficient on Education? (2 points) C. What is the standard error of ẞ₁? (2 points) d. What is the R squared for the model? (2 points) e. What is the t statistic for ₁at the 5% level of significance? (2 points) Λ f. What is the 95% confidence interval for B₁? (2 points) Λ g.…arrow_forwardProblem 2 Hypothesis Testing Suppose you are interested in the effect of neighborhood crime incidents on high school graduation rates. You run the following regression model: Graduation; ßo+ß₁Crime; +ɛ¿ = You would like to test whether the neighborhood crime incidents have a statistically significant effect on high school graduation rate at the 5% level of significance (α = 0.05). You estimate the model and find that B₁ = -0.04 and se (B₁) = 0.008. a. Write down the null hypothesis and alternative hypothesis. (4 points) b. Calculate thet statistic of B₁. (5 points) C. What is the critical value of thet statistic for the 5% level of significance? (2 points) d. Calculate the 95% confidence interval for the coefficient on Crime? (6 points) e. Based on your answers to the questions b, c, and d, do you reject or fail to reject the null hypothesis you defined in question a? Justify your answer. (5 points) Λ f. Isẞ₁ statistically significant at the 5% level? (3 points)arrow_forwardProblem 1 Endogeneity & Bias The ACT (an abbreviation of American College Testing) is a standardized test used for college admissions in the United States. Suppose you are interested in whether ACT preparation improves ACT scores. Consider the following model: ACT=B+B Preparation,+e; where Preparation measures the number of hours spent on ACT preparation and ACT is ACT scores. Each student is denoted by the subscript i. Suppose you estimate = - 21 andß₁ = 0.9. a. What is the dependent variable? What is the independent variable? (3 points) b. How do you interpret ẞ = 21 in this context? (4 points) 0 C. How do you interpretß₁ = 0.9 in this context? (4 points) 1 d. Describe a scenario which can cause the independent variable to be endogenous. (4 points)arrow_forward
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