(This exercise requires appropriate computer software. The computations required can be done with RATS, EViews, Stata, TSP, LIMDEP, and a variety of other software using only preprogrammed procedures.) Quarterly data on the consumer price index for 1950.1 to 2000.4 are given in Appendix Table F5.1. Use these data to fit the model proposed by Engle and Kraft (1983). The model is πt = β0 + β1πt−1 + β2πt−2 + β3πt−3 + β4πt−4 + εt where πt = 100 ln [pt/pt−1] and pt is the price index.
a. Fit the model by ordinary least squares, then use the tests suggested in the text to see if ARCH effects appear to be present.
b. The authors fit an ARCH (8) model with declining weights, Fit this model. If the software does not allow constraints on the coefficients, you can still do this with a two-step least squares procedure, using the least squares residuals from the first step. What do you find?
c. Bollerslev (1986) recomputed this model as a GARCH (1, 1). Use the GARCH (1, 1) form and refit your model.
1) You can buy this solution for 0,5$.
2) The solution will be in 8 hours.
3) If you want the solution will be free for all following visitors.
4) The link for payment paypal.me/0,5usd
5) After payment, please report the number of the task to the oneplus2014@gmail.com
New search. (Also 1294 free access solutions)
Use search in keywords. (words through a space in any order)