Questions from General Economics

Q: Use the data in HSEINV for this exercise. (i

Use the data in HSEINV for this exercise. (i) Find the first order autocorrelation in log(invpc). Now, find the autocorrelation after linearly detrending log(invpc). Do the same for log(price). Which...

Q: Use the data in BEVERIDGE to answer this question. The data

Use the data in BEVERIDGE to answer this question. The data set includes monthly observations on vacancy rates and unemployment rates for the United States from December 2000 through February 2012. (i...

Q: Use the data in APPROVAL to answer the following questions.

Use the data in APPROVAL to answer the following questions. (i) Compute the first order autocorrelations for the variables approve and lrgasprice. Do they seem close enough to unity to worry about un...

Q: Use the data in BARIUM to answer this question. (

Use the data in BARIUM to answer this question. (i) In Table 12.1 the reported standard errors for OLS are uniformly below those of the corresponding standard errors for GLS (Prais-Winsten). Explain w...

Q: Use the data in APPROVAL to answer the following questions. See

Use the data in APPROVAL to answer the following questions. See also Computer Exercise C14 in Chapter 11. (i) Estimate the equation using first differencing and test the errors in the first-differen...

Q: we estimated a finite DL model in first differences (changes):

we estimated a finite DL model in first differences (changes): Use the data in FERTIL3 to test whether there is AR(1) serial correlation in the errors.

Q: Use the data in PHILLIPS to answer these questions. (

Use the data in PHILLIPS to answer these questions. (i) Using the entire data set, estimate the static Phillips curve equation inft =

Q: Use the data in NYSE to answer these questions. (

Use the data in NYSE to answer these questions. (i) Estimate the model in equation (12.47) and obtain the squared OLS residuals. Find the average, minimum, and maximum values of

Q: Use the data in INVEN for this exercise; see also Computer

Use the data in INVEN for this exercise; see also Computer Exercise C6 in Chapter 11. (i) Obtain the OLS residuals from the accelerator model ∆invent =

Q: It may be that the expected value of the return at time

It may be that the expected value of the return at time t, given past returns, is a quadratic function of return-1. To check this possibility, use the data in NYSE to estimate report the results in st...