Regression with Indicator Variables in Stata

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Regression with Indicator Variables in Stata

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Timestamps:
00:00 Regression with Indicator Variables in Stata
00:59 Single indicator variable
09:26 Interaction terms with another indicator variable
15:27 Several related indicator variables
22:10 Interaction terms with a non-indicator variable
32:52 F-test for differences across groups
37:51 Chow test for differences across groups

Econometrics Academy:
  1. econometricsacademy
  2. indicator variable Stata
  3. Stata indicator variable
  4. dummy variable Stata
  5. Stata dummy variable
  6. indicator variable interaction Stata
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This was an amazing video! Everything was so clearly laid out and explained! Thank you so much! I just have one question for clarification that I'm hoping to clarify. Beginning at 26:42, it is stated that the constant's value of −1.65 is the "intercept for females." My confusion is whether it reflects the value for females only or whether it reflects the value of females adjusted for education since education is also modeled? As a follow-up question, my understanding is that, just as categorical variables are held constant against their respective reference groups, continuous variables are held constant against a presumed value of 0. So, would the constant's value best be understood as reflecting the predicted intercept for females with 0 years of education?

Thank you so much for any insight!

markelov