Question: 2. Recall the data from WAGE1 da and use it for this exercise. (a) Use ordinary least squares to estimate the following regression equation and

2. Recall the data from WAGE1 da and use it for this exercise. (a) Use ordinary least squares to estimate the following regression equation and report the results in the usual format. log(rage) = Be + Baeduc + Raexper + Pgexpersy + u (b) Is the estimated coefficient for experience squared (expery) statistically significant at the 1% level? (c) Using the following approximation Vidivage = 100 (%. + 28, exper) dexper Find the appropriate approximate return to the fifth year of experience (d) Using the approximation in (ini) calculate the approximate to return to the 20* ycar of experience (c) At what value of experience does additional experience actually lower wage (leg(age)). How many people have more experience that this, in this sample?

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