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To examine the differences between salaries of male and female middle managers of a large bank, 90 individuals were randomly selected and the following variables considered:
Salary = the monthly salary (excluding fringe benefits and bonuses)
Educ = the number of years of education
Exper = the number of months of experience
Gender = the gender of an individual; 1 for males, and 0 for females
The regression results obtained for the models are as follows:
Model A: Salary = β0 + β1 Educ + β2 Exper + β3 Gender + β4 Exper × Gender + ε,
Model B: Salary = β0 + β1 Educ + β2 Exper + ε, are summarized in the following table. Note: The values of relevant test statistics are shown in parentheses below the estimated coefficients.
At 1% significance level, what is the conclusion of testing the joint significance of Exper and Exper × Gender in Model A?
Benefits
Advantages or gains provided by a product, service, or activity to an individual, group, or society.
Wage Rate
The amount of compensation received by an employee per unit of time or output, often specified per hour or piece.
Immigration
The act of moving to a foreign country to live permanently, often influenced by factors like employment, family reunion, or asylum.
Low-skilled Labor
Work that requires minimal specialized skills, training, or education, often characterized by lower wages.
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