Exploring Regression Models for Intergenerational Education Mobility

In this context, the dataset comprises 1,230 individuals, encompassing detailed information on education, wages, parents’ education, and various other variables. Our primary interest centers around intergenerational education mobility, where the years of schooling serve as the dependent variable. Notably, ‘methodic’ denotes the mother’s years of schooling, and ‘father’ represents the father’s years of schooling. Drawing insights from Table 1, our analysis will focus on the following:

1. Formulating the estimated regression model as an equation.
2. Providing an interpretation of the coefficient attributed to parental education based on the table results.
3. Assessing the overall goodness of fit of the regression model.

Furthermore, a subsequent regression incorporates the ability score (‘able’) as a measure of cognitive skills. We will investigate the changes observed in the coefficients of parental education between Table 1 and Table 2:

• What prompts the coefficients of parental education to differ between Table 1 and Table 2?
• Evaluating whether the impact of parental education on their children’s level of education in Table 2 reflects unbiased outcomes.