Earnings Functions Attempt to Predict the Log of Earnings from a Set

question 37

Essay

Earnings functions attempt to predict the log of earnings from a set of explanatory variables, both binary and continuous. You have allowed for an interaction between two continuous variables: education and tenure with the current employer. Your estimated equation is of the following type: $\widehat{\text { In Earn }}$ = $\hat { \beta }$ ₀ + $\hat { \beta }$ ₁ × Femme + $\hat { \beta }$ ₂ × Educ + $\hat { \beta }$ ₃ × Tenure + $\hat { \beta }$ ₄ x (Educ × Tenure)+ ∙∙∙
where Femme is a binary variable taking on the value of one for females and is zero otherwise, Educ is the number of years of education, and tenure is continuous years of work with the current employer. What is the effect of an additional year of education on earnings ("returns to education")for men? For women? If you allowed for the returns to education to differ for males and females, how would you respecify the above equation? What is the effect of an additional year of tenure with a current employer on earnings?

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Definitions:

POMR Method

The Problem-Oriented Medical Record method, a way of documenting patient care that organizes information around the patient’s specific complaints or problems.

Chronic Problems

Issues or conditions that persist over a long period of time, often requiring ongoing management and treatment.

Patient Profile

A comprehensive record containing a patient’s personal, medical, and treatment history.

Geographic Filing

A method of organizing files based on geographical locations, useful in managing records that span multiple regions.