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book Introductory Econometrics 4th Edition by Jeffrey Wooldridge cover

Introductory Econometrics 4th Edition by Jeffrey Wooldridge

Edition 4ISBN: 978-0324660609
book Introductory Econometrics 4th Edition by Jeffrey Wooldridge cover

Introductory Econometrics 4th Edition by Jeffrey Wooldridge

Edition 4ISBN: 978-0324660609
Exercise 5
Use the data in HSEINV.RAW 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 of the two series may have a unit root
(ii) Based on your findings in part (i), estimate the equation log(invpct) 0 + 1 log(pricet) 2t + ut
and report the results in standard form. Interpret the coefficient Use the data in HSEINV.RAW 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 of the two series may have a unit root  (ii) Based on your findings in part (i), estimate the equation log(invpct) 0 + 1 log(pricet) 2t + ut and report the results in standard form. Interpret the coefficient   and determine whether it is statistically significant. (iii) Linearly detrend log(invpct) and use the detrended version as the dependent variable in the regression from part (ii) (see Section 10.5). What happens to R2  (iv) Now use log(invpct) as the dependent variable. How do your results change from part (ii) Is the time trend still significant Why or why not and determine whether it is statistically significant.
(iii) Linearly detrend log(invpct) and use the detrended version as the dependent variable in the regression from part (ii) (see Section 10.5). What happens to R2
(iv) Now use log(invpct) as the dependent variable. How do your results change from part (ii) Is the time trend still significant Why or why not
Explanation
Verified
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The first order autocorrelation in blured image is t...

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Introductory Econometrics 4th Edition by Jeffrey Wooldridge
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