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Government consumption in our model is simply a "waste", that is it does not affect anyone's utility or affect the production process. Use the Pareto Optimality framework. For each of them, solve the social planner's problem and show the equations that characterize the optimal allocations. Then argue how a change in G would affect the choices (consumption , labor supply and also output) by the social planner.
a. Government expenditures increase household's utility by another term in the utility function : log (G).
b. Government expenditures add to the existing private capital stock, so the capital stock of firms is now K+G.
Calculate the price elasticity of demand in summer for transit services and the cross-price elasticity of demand for transit with respect to the level of business activity.
I have a time series set of data of workers in motor vehicle industry from 1972-2001 as well as average weekly hours of workers in motor vehicle industry
Calculate output per worker and consumption per worker for each country. Which country has the highest output per worker? The highest consumption per worker?
Determine the expected signs of the various coefficients and explain your reasoning.
Solve the forecast model
Derive the intertemporal Euler equation and what is the optimal level of C1 given the endowments, R, and ? What?s theoptimal level of C2?
What is the risk (standard deviation) that this investment manager has assumed in his calculation if it is known that returns are normally distributed with a mean of 5.6%?
A Taiwan electronics corporation exports personal computers to the United States Their PC sales over the past five years are following:
According to the United States informationfor 1965-IQ to 1983-IQ (n=76), James and Adibi obtained the folowwing regression to explain personal consumption expenditure in the United States
Estimate simple linear regression models for both the raw data and the logs, estimating both the intercept and the slope.
State carefully the ceteris paribus assumption in this case. Do you think this simple regression of Y on X satisfies that assumption? Why or why not?
Assume that the John Smith, the manager of marketing division of Chevrolet at GM, estimated the given regression equation for Chevrolet automobiles:
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