Consider the following regression model: wage-Bi+Bamale+Bamalexedu+Bieduru, where wage is the hourly wage measured in dollars male is a dummy variable for males: edu is the years of education malexedu is the interaction of male and edu variables. The parameter estimates for Bparameters are B-2.88: Be-0.53: B-0.35: B-0.71. What is the predicted marginal effect of years of education for females? Give exact number for the answer. Le. do not approximate.
Consider the following regression model: wage-Bi+Bamale+Bamalexedu+Bieduru, where wage is the hourly wage measured in dollars male is a dummy variable for males: edu is the years of education malexedu is the interaction of male and edu variables. The parameter estimates for Bparameters are B-2.88: Be-0.53: B-0.35: B-0.71. What is the predicted marginal effect of years of education for females? Give exact number for the answer. Le. do not approximate.
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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Transcribed Image Text:Consider the following regression model:
wage-Bi+Bamale+Bamalexedu+Bieduru,
where wage is the hourly wage measured in dollars: male is a dummy variable for males: edu is the years of education maleredu is the interaction of
male and edu variables. The parameter estimates for Bparameters are B-2.88: Be-0.53: B-0.35: B-0.71. What is the predicted marginal effect of years
of education for females? Give exact number for the answer. Le. do not approximate.
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