production function model in which firm output in a particular industry depends on the amount of labor used by a ploying another worker is predicted to lead to a 32 percent increase output produced and the number of workers employed by the ith firm, then which of the following m output it Q and t, deriate the mount the O a Cart say: it could be any of the regressions O b. 0-10.74 3.24 Oclogtop-10.74 +0.0324 O d.log(0)-10.74 +0.32 logit)
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- QUESTION 2 Continue to use the example from Question 1. Suppose each product is randomly assigned to a process by a computer program, but some products get reassigned on the factory floor (for practical reasons). Let Z¡ denote the original assignment and X¡ the actual process used to produce i. In a regression of Y¡ on X¡ and Wj, OLS is: d. Potentially biased because W; should not be included b. Potentially biased, but an IV regression using Z¡ as an instrument can be used to obtain a consistent estimator C. Unbiased because the products were randomly assigned in the beginning d. Unbiased as long as Zj is also included as a control variableWho Invented Instrumental Variables Regression?d/My courses / Faculty Of Economics & Administratiive Sciences / ECON309 / Finals / ECON 309 Fin 13. In the simple linear regression model, the regression slope a. O a. indicates by how many percent Y increases, given a one percent increase in X. ut of O b. represents the elasticity of Y on X. uestion Oc. when multiplied with the explanatory variable will give you the predicted Y. O d. indicates by how many units Y increases, given a one unit increase in X. nage
- Suppose that in a linear regression model hourly wages are explained as a function of gender, where the dummy variable female takes on a value of 1 if the worker is a female and O otherwise: SRL : wâge 25 + 2 * female Which interpretation(s) are correct for this SRL? An additional female worker increases hourly wages by 2 dollars on average. Men earn on average 25 dollars per hour. Women earn on average two dollars more per hour than men. Women are the baseline group.In IS-MP model what variable is on horizontal axis? If IS-MP have different variable on horizontal axis how can we put these two curves into one diagram?Can I include the dummy variables in regression equation like Y=a+bX+u where the X is the vector of x variables that contain dummy variables with 5 categories? how should I write my general regression equation with this?
- Define the strict gradient series?An economist fits the following production function to data from Australia and New Zealand, Y = AK" L1-« She estimate that for Australia, a = = 0.7. She estimates that for New Zealand, a = = 0.2 Based on this information, which of the following statements is most likely to be correct. There is not enough information to comment on the relative capital intensities Production wilI be relatively more capital intensive in New Zealand than in Australia Production will be relatively more capital intensive in Australia than in New Zealand Production will be equally as capital intensive in each country since they both experience constant returns to scaleProf. Smith and Prof. Jones are going to produce a new textbook. The production function for the book is: ?=?1/2?1/2?= is the number of pages in the finished book?= is the number of working hours spent by Smith?= is the number of working hours spent by JonesSmith's labor is valued at 3 TL per working hour and Jones's labor is valued at 12 TL per working hour. After having spent 900 hours preparing the first draft, Smith cannot contribute any more to the book. Jones will revise the Smith's draft to complete the book.a) How many hours will Jones have to spend to produce a finished book of 300 pages?b) What is the marginal cost of the 300th page of the finished book?
- Suppose that a coffee producing firm estimated the following regression of thedemand for its brand of coffee:Qc = 1.5 − 3.0Pc + 0.8Y + 2.0Pb − 0.6PS +1.2 Awhere Qc = sales of coffee brand C, in dollarsper pound Pc = price of coffee brand C,in dollars per poundY = personal disposable income, in millions of dollars per yearPb = price of the competitive brand of coffee, in dollarsper pound Ps = price of sugar, in dollars per poundA = advertising expenditures for coffee brand C, in hundreds of thousands ofdollars per year.Suppose also that this year, Pc = $2, Y = $2.5, Pb = $1.80,Ps = $1 and A =$1.a. Interpret the results of the estimated demand.b. Compute point price elasticity of demand for the firm’s brand of coffeewith respect to its price.c. Compute the cross-price elasticity of demand for coffee with respect to theprice of competitive coffee brand b.d. At the current price level, would it be viable for the firm to increase the pricelevel of its brand of coffee? Support your answer.…What is a linear regression model? What is measured by the coefficients ofa linear regression model? What is the ordinary least squares estimator?What are the four assumptions of linear regression (simple linear and multiple)?