Microeconomics Plus Myeconlab With Pearson Etext (1-Semester Access)
6th Edition
ISBN: 9780134435053
Author: R. Glenn Hubbard, Anthony Patrick O'Brien
Publisher: PEARSON
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Chapter 12, Problem 12.5.2RQ
To determine
Whether a firm earning zero economic profit will continue to produce in the long run.
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Chapter 12 Solutions
Microeconomics Plus Myeconlab With Pearson Etext (1-Semester Access)
Ch. 12 - Prob. 12.1.1RQCh. 12 - Prob. 12.1.2RQCh. 12 - Prob. 12.1.3RQCh. 12 - Prob. 12.1.4PACh. 12 - Prob. 12.1.5PACh. 12 - Prob. 12.1.6PACh. 12 - Prob. 12.1.7PACh. 12 - Prob. 12.1.8PACh. 12 - Prob. 12.2.1RQCh. 12 - Prob. 12.2.2RQ
Ch. 12 - Prob. 12.2.3RQCh. 12 - Prob. 12.2.4PACh. 12 - Prob. 12.2.5PACh. 12 - Prob. 12.2.6PACh. 12 - Prob. 12.2.7PACh. 12 - Prob. 12.2.8PACh. 12 - Prob. 12.3.1RQCh. 12 - Prob. 12.3.2RQCh. 12 - Prob. 12.3.3PACh. 12 - Prob. 12.3.4PACh. 12 - Prob. 12.3.5PACh. 12 - Prob. 12.3.6PACh. 12 - Prob. 12.3.7PACh. 12 - Prob. 12.3.8PACh. 12 - Prob. 12.4.1RQCh. 12 - Prob. 12.4.2RQCh. 12 - Prob. 12.4.3RQCh. 12 - Prob. 12.4.4PACh. 12 - Prob. 12.4.5PACh. 12 - Prob. 12.4.6PACh. 12 - Prob. 12.4.7PACh. 12 - Prob. 12.4.8PACh. 12 - Prob. 12.4.9PACh. 12 - Prob. 12.4.10PACh. 12 - Prob. 12.5.1RQCh. 12 - Prob. 12.5.2RQCh. 12 - Prob. 12.5.3RQCh. 12 - Prob. 12.5.4PACh. 12 - Prob. 12.5.5PACh. 12 - Prob. 12.5.6PACh. 12 - Prob. 12.5.7PACh. 12 - Prob. 12.5.8PACh. 12 - Prob. 12.5.9PACh. 12 - Prob. 12.5.10PACh. 12 - Prob. 12.5.11PACh. 12 - Prob. 12.5.12PACh. 12 - Prob. 12.5.13PACh. 12 - Prob. 12.5.14PACh. 12 - Prob. 12.6.1RQCh. 12 - Prob. 12.6.2RQCh. 12 - Prob. 12.6.3RQCh. 12 - Prob. 12.6.4PACh. 12 - Prob. 12.6.5PACh. 12 - Prob. 12.6.6PACh. 12 - Prob. 12.6.7PACh. 12 - Prob. 12.6.8PACh. 12 - Prob. 12.6.9PACh. 12 - Prob. 12.6.10PA
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- 4. 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_forward3. Consider the following three (fictional) data points:Country Ultima Thule Narnia NeverlandGDP per capita (US $, 2021, in thousands) 10 30 20Deaths from COVID-19 as of Jan. 2023, millions 0.24 0.16 0.05(a) What is the slope of the line of best fit through these three points, whereDeaths from COVID-19 is the dependent variable and GDP per capita is theexplanatory variable? (b) The standard error for the slope parameter is 0.009. What does this standarderror measure? (c) Is the slope parameter statistically significant at the 5% level of significance?(The relevant critical value is not the usual value, but 4.303, due to the tinysample size). Explain what this means. (d) Why might this slope parameter be a misleading indicator of the relationshipbetween these two variables?arrow_forwardConsider the following estimated regression equation, where both Rent and Earnings aremeasured in pounds (£) at the individual level (standard errors in parentheses):log(\Rent) = 6.9(0.69)+ 0.9(0.3)log(Earnings),(a) Interpret the coefficient on log(Earnings). (b) If we divided Earnings by 1000, so that it is measured in 1000s of pounds instead of pounds,how would (i) the slope, (ii) the intercept change in the above equation? Now suppose the variable London is added, which is equal to one if an individual iives inLondon, and zero otherwise. The estimated regression equation changes to:log(\Rent) = 6.22(0.622)+ 0.5(0.05)log(Earnings) + 2(0.5)London,(c) Interpret the coefficient on London. (d) Explain why the coefficient on log(Earnings) when London is included in the regression andthe coefficient on log(Earnings) when London is not included in the regression are not thesame.arrow_forward
- 3. Consider the following regression equation, where Cigs is daily spending on cigarettes in poundssterling (£), Y earsEduc is years of education, and F emale equals one if an individual is femaleand zero otherwise (standard errors in parentheses):Cigs [ = 4(1.6)− 0.08(0.032)Y earsEduc − 0.5(0.2)F emale,(a) Interpret the coefficients on Y earsEduc and F emale. (b) What does the model predict the average daily spending on cigarettes would be for womenwith 12 years of education? (c) Form the 95% confidence interval for the coefficient on F emale. (d) Economists are often interested in estimating production functions of the Cobb-Douglas form(Yiis the ith firm’s output, Liits spending on labour, and Kiits spending on capital):Yi = ALαi Kβi,How might someone estimate α and β from this equation using linear regression?arrow_forward2. The demand and supply functions for two interdependent goods X and Y are givenbyQDX = 7 − 4PX + 2PYQSX = −6 + 4PX − PYQDY = 1 + PX − PYQSY = −4 − PX + 2PY(a) Find the market equilibrium condition for each good. (b) Express the equilibrium conditions in the matrix form Ax = b.(c) Find the inverse of matrix A. (d) Given your result in part (c), calculate the equilibrium prices. (e) What is the equilibrium quantity for goods X and Y ?arrow_forward2. A two-sector macro-economic model satisfies the following structural equations:Y = C + I∗C = aY + bwhere 0 < a < 1 and b > 0 are parameters and I∗ denotes investment.(a) What are the exogenous and endogenous variables in this model? (b) Re-arrange this system of equations to express the endogenous variables in terms of the exogenous variables and parameters. (c) Express this system of equations in the matrix form Ax = b. (d) Show that the inverse of matrix A exists.arrow_forward
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