(25 points) Estimate the linear regression In(wage,) = 1 + B₂educi + €₁. where e; is the error and 3₁ and 32 are the unk
Posted: Wed May 04, 2022 12:01 pm
(25 points) Estimate the linear regression In(wage,) = 1 + B₂educi + €₁. where e; is the error and 3₁ and 32 are the unknown population coefficients.
1m_robust(formula = 1n_wage educ + hrswk, data = CPS, se_type = "stata") Standard error type: HC1 Coefficients: Estimate Std. Error t value Pr (>1t|) CI Lower CI Upper DF (Intercept) 1.299871 educ 0.086787 0.108424 11.989 4.931e-31 1.087106 1.51264 997 0.006826 12.715 1.964e-34 0.073393 0.10018 997 0.001697 5.302 1.409e-07 0.005669 0.01233 997 hrswk 0.008999 Multiple R-squared: 0.2036, Adjusted R-squared: 0.202 F-statistic: 106.5 on 2 and 997 DF, p-value: < 2.2e-16
1m_robust(formula = 1n_wage educ + hrswk, data = CPS, se_type = "stata") Standard error type: HC1 Coefficients: Estimate Std. Error t value Pr (>1t|) CI Lower CI Upper DF (Intercept) 1.299871 educ 0.086787 0.108424 11.989 4.931e-31 1.087106 1.51264 997 0.006826 12.715 1.964e-34 0.073393 0.10018 997 0.001697 5.302 1.409e-07 0.005669 0.01233 997 hrswk 0.008999 Multiple R-squared: 0.2036, Adjusted R-squared: 0.202 F-statistic: 106.5 on 2 and 997 DF, p-value: < 2.2e-16