Timeline for Fixed effects at industry & year level for firm-level data
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 12, 2019 at 0:05 | review | First posts | |||
| Jan 12, 2019 at 1:00 | |||||
| Dec 17, 2018 at 13:36 | vote | accept | Adam | ||
| Dec 17, 2018 at 13:03 | vote | accept | Adam | ||
| Dec 17, 2018 at 13:36 | |||||
| Dec 16, 2018 at 14:12 | answer | added | Arne Jonas Warnke | timeline score: 4 | |
| Dec 16, 2018 at 11:30 | comment | added | Jesper for President | I would go with option 3. I do not imagine estimation of that many coefficients of dummy variables should be problematic. With the other methods I would think you risk the standard errors are not correct even if you get a consistent estimator. | |
| Dec 16, 2018 at 9:56 | history | edited | Adam | CC BY-SA 4.0 |
added 185 characters in body
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| Dec 16, 2018 at 9:00 | history | asked | Adam | CC BY-SA 4.0 |