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Consider the following earnings function:
ahei= β0 + β1×DFemmei + β2×educi+...+ ui
versus the alternative specification
ahei= γ0 × DMale + γ1×DFemmei + γ2×educi+...+ ui
where ahe is average hourly earnings, DFemme is a binary variable which takes on the value of "1" if the individual is a female and is "0" otherwise, educ measures the years of education, and DMale is a binary variable which takes on the value of "1" if the individual is a male and is "0" otherwise. There may be additional explanatory variables in the equation.
a. How do the βs and γs compare? Putting it differently, having estimated the coefficients in the first equation, can you derive the coefficients in the second equation without re-estimating the regression?
b. Will the goodness of fit measures, such as the regression R2, differ between the two equations?
c. What is the reason why economists typically prefer the second specification over the first?
Net Worth
Assets minus liabilities; also called owners’ equity.
Owners' Equity
The residual interest in the assets of a business after deducting its liabilities, representing the ownership interest of shareholders or proprietors.
Assets
Economic resources owned or controlled by an individual, corporation, or country, valued for their potential to provide future benefits.
Asymmetric Information
Asymmetric information occurs when one party in a transaction has more or superior information compared to another, leading to an imbalance in power and potentially unfair outcomes.
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