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Assignment of ETF3200
创建日期：2024-04-18 15:06:30
标签： ETF3200
Assignment

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Assignment  of ETF3200 

IMPORTANT: This assignment is assessed. The deadline for submission of work for this assignment is 5:00pm, Friday October 22nd. Your solutions must be typed before you may submit them through Assignment Box on the Moodle website. Late submission of assignments Work submitted late will receive a mark of zero, unless the Lecturer has been advised as soon as possible of any extenuating circumstances with supporting evidence (e.g. medical certificate). Question 1 (10 marks) Consider a simple time series model of the form Xt = a+ b t+ cXt−1 + et, t = 1, 2, . . . , T, (1) where et ∼ N(0, 1) is a sequence of independent and normally distributed (i.n.d.) random variables. Let X0 = 0, and a, b and c be known constants. Model (1) covers the following commonly used scenarios. • Linear trending model: Xt = a+ b t+ et, t = 1, 2, . . . , T. (2) What is the probability distribution of Xt ? Provide the necessary detail [3 marks] • Random walk model without intercept: Xt = Xt−1 + et, t = 1, 2, . . . , T. (3) Do you know the probability distribution of Xt ? Provide the necessary detail [3 marks] • Random walk model with intercept: Xt = a+Xt−1 + et, t = 1, 2, . . . , T. (4) Is the probability distribution of Xt different from those of (2) and (3) ? Give your reasoning [4 marks]. 1 Question 2 (20 marks) Macroeconomists are interested in factors that explain economic growth. An aggregate production function specification was studied by Duffy and Papageorgiou. The data are in the data file ces being attached below. They consist of cross-sectional data on 82 countries for 28 years, 1960–1987. • (a) Estimate a Cobb–Douglas production function LYit = β1 + β2LKit + β3LLit + eit, where LY is the log of GDP, LK is the log of capital, and LL is the log of labor. Interpret the coefficients on LK and LL. Test the hypothesis that there are constant returns to scale, β2 + β3 = 1. (3 marks) • (b) Add a time trend variable t = 1, 2, ..., 28, to the specification in (a). Interpret the coefficient of this variable. Test its significance at the 5% level. What effect does this addition have on the estimates of β2 and β3 ? (3 marks) • (c) Assume β2 + β3 = 1. Solve for β3 and substitute this expression into the model in (b). Show that the resulting model is LY Lit = β1 + β2LKLit + λt+ eit, where LYL is the log of the output–labor ratio, and LKL is the log of the capi- tal–labor ratio. Estimate this restricted, constant returns to scale, version of the Cobb–Douglas production function. Compare the estimate of β2 from this specifi- cation to that in part (b). (3 marks) • (d) Estimate the model in (b) using a fixed effects estimator. Test the hypothesis that there are no cross-country differences. Compare the estimates to those in part (b). (3 marks) • (e) Using the results in (d), test the hypothesis that β2 + β3 = 1. What do you conclude about constant returns to scale ? (2 marks) 2 • (f) Estimate the restricted version of the Cobb–Douglas model in (c) using the fixed effects estimator. Compare the results to those in part (c). Which specification do you prefer ? Explain your choice. (4 marks) • (g) Using the specification in (b), replace the time trend variable with dummy variables D2–D28. What is the effect of using this dummy variable specification rather than the single time trend variable ? (2 marks)

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