Timeline for Difference in interpretation of log-lin coefficients with binary variable
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
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| Nov 12, 2021 at 13:44 | vote | accept | manifold | ||
| Nov 23, 2020 at 19:04 | history | edited | manifold | CC BY-SA 4.0 |
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| Nov 22, 2020 at 2:53 | history | became hot network question | |||
| Nov 21, 2020 at 22:39 | comment | added | Henry | This would be easier to expalain and understand if you did not subtract $1$. If $e^{\beta_1}=2.5$ then having $D_1=1$ multiplies the estimate for $y$ by $2.5$, while if $e^{\beta_2}=4$ then having $D_2=1$ multiplies the estimate for $y$ by $4$, and having both multiplies the estimate for $y$ by $10$. So much simpler than saying that these increase the estimates for $y$ by $150\%$, $300\%$ and $900\%$ respectively | |
| Nov 21, 2020 at 19:27 | answer | added | E. Sommer | timeline score: 4 | |
| Nov 21, 2020 at 18:54 | history | edited | manifold | CC BY-SA 4.0 |
added 8 characters in body
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| Nov 21, 2020 at 18:49 | history | asked | manifold | CC BY-SA 4.0 |