Timeline for What is the interpretation of (panel data) Quantile Regression?
Current License: CC BY-SA 3.0
6 events
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| Apr 13, 2017 at 12:44 | history | edited | CommunityBot |
replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
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| Sep 8, 2016 at 7:59 | comment | added | Michael M | It will probably be different in that we are not talking about the median of a population with equal $X$-values but also in the same group specified by the random factor, which seems to be quite mind-twisting if we have e.g. person as random factor. | |
| Sep 8, 2016 at 7:54 | comment | added | SteinarV | Based on my understanding of standard panel data methods and cross sectional quantile regression I really can’t see how the interpretation of the coefficient for an explanatory variable would be any different in a panel data setting. Only the “all other things being equal” - condition now also involve “group(s)”. Hopefully someone will correct me if this wrong | |
| Sep 8, 2016 at 7:42 | history | edited | SteinarV | CC BY-SA 3.0 |
changed y to x
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| Sep 7, 2016 at 15:43 | comment | added | Michael M | The OP is about a "mixed effects" quantile regression, not a standard cross-sectional one. Does that impact the way how you correctly interpret the effect? Btw. would you mind to change y to x in your answer? | |
| Sep 7, 2016 at 14:02 | history | answered | SteinarV | CC BY-SA 3.0 |