a. From model (1), what is the estimated return to education for: i) a

Question: a. From model (1), what is the estimated return to education for: i) a female worker? ii) a male worker? (2pts) b. Based on the estimated model (1) and with a 5% significance level, assess the statistical significance and the importance of the quadratic variable age in explaining changes to workers’ earnings. (State clearly your null and alternative
Show transcribed image textAssessed gets back to instruction Hitched, and, edumarried are the two factors that are applicable. It is a log-straight model. The adjustment of the wages for per a parallel variable = 1, or, a unit expansion in the indicator = 100* coefficient % I)…View the full answerTranscribed image text: a. From model (1), what is the estimated return to education for: i) a female worker? ii) a male worker? (2pts) b. Based on the estimated model (1) and with a 5% significance level, assess the statistical significance and the importance of the quadratic variable age in explaining changes to workers’ earnings. (State clearly your null and alternative hypotheses, the statistics to be used, and your conclusion) (2 pts). 2 C. From model (1), what is the estimated effect of getting one year older on the earnings for: i) a female worker? ii) a male worker? (2pts) d. From the estimated model (1), at what age does an additional year actually lower the predicted earnings for: i) a female worker? ii) a male worker? (2 pts) e. Using model (1), calculate the estimated effect of the 30th year of age on the earnings for: i) a female worker’? ii) a male worker? (2pts). f. From the estimated model (1), provide an appropriate interpretation for each of the coefficient estimates associated with the variables female, educ, and femaleduc. (3pts) g. Based on estimated models (1) and (2), determine what is the estimated difference in log(earnings) between female and male workers with the same age and same education? (1pt) h. Based on estimated models (1) and (2) and with a 5% significance level, test whether being a female or male makes a significant difference in workers’ earnings. (state clearly your null and alternative hypotheses, the statistics to be used, and your conclusion). (2 pts)