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Econ 4340 Homework 5: Analyzing the Investment Function using Given Data, Assignments of Introduction to Econometrics

Instructions for students in econ 4340 to answer questions related to the investment function using data from the file ā€˜investment.wf1ā€™. The tasks include finding least squares estimates of the model parameters, checking for autocorrelation, correcting for autocorrelation using the cochrane-orcutt method, and predicting next year's investment level. Students are expected to use the given data and necessary printouts to support their answers.

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Pre 2010

Uploaded on 08/18/2009

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Download Econ 4340 Homework 5: Analyzing the Investment Function using Given Data and more Assignments Introduction to Econometrics in PDF only on Docsity! Homework #5 Econ 4340 Fall 2005 Name_______________________________________ Instructions: Answer the questions given below on lined sheets of paper (or they may be typed) and provide all the necessary printouts of information needed to support your answers. Staple your papers together! Be neat so it can be read!! Consider the Investment Function It = Ī²0 + Ī²1Yt + Ī²2Rt + et where It = Investment in year t Yt = GNP in year t Rt = interest rate in year t Thirty annual observations on I, Y, and R are given in the file ā€œinvestment.wf1.ā€ Use these data to answer the following questions: 1. Find least squares estimates of Ī²0, Ī²1, and Ī²2 and report the results in the usual way. Comment on the implied statistical reliability of the results. Do the estimates for Ī²1 and Ī²2 have the expected signs (think!). 2. Plot the least squares residual. Do they suggest the existence of autocorrelation? Why or why not? 3. Use the Durbin-Watson test to test for positive first-order autocorrelation. 4. Re-estimate the model after correcting for autocorrelation using the Cochrane- Orcutt method (transform the data only once). Report the results. Note any differences between these results and those obtained in part 1. Discuss how the results in part 1 can be misleading. 5. Re-estimate the model using the AR(1) procedure in Eviews. Comment on the results here compared to the results from part 4. 6. Predict next yearā€™s level of investment given that next yearā€™s values for Y and R are Y = 36 and R = 14 using the results from part 5.
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