Hello,
I estimated a random-effects probit model and now I would like to get the marginal effects. My dependent variable is a dichotomous variable (temporary agency work = zeitarbeit_dummy).
I used the command:
And then I used
however I do not get the marginal effects (the values do not change).
Does somebody know, which command I can use instead of "mfx" to get the marginal effects?
Thank you very much.
Kind regards,
Tina
I estimated a random-effects probit model and now I would like to get the marginal effects. My dependent variable is a dichotomous variable (temporary agency work = zeitarbeit_dummy).
I used the command:
Code:
xtprobit zeitarbeit_dummy geschlecht_dummy alter alter2 verheiratet_dummy migrationshintergrund_dummy schuljahre monate_gesamt arbeitslosvorjahr_dummy if syear >2000 & alter >17 & alter <66 & sozialvertaetigkeit !=2 & frist ==1 & altersteilzeit ==2 & minimidijob != 1 & eineurojob !=1 & berufausbildung !=1 & vollzteilz <3 & arbeitslos!=1 & neu != 10 & neu != 11 & neu != 12 & neu != 13 & neu != 15 & neu != 110 & neu != 120 & neu != 130 & neu != 140 & neu != 150 & neu != 310 & neu != 320 & neu != 330 & neu != 340 & neu != 410 & neu != 411 & neu != 412 & neu != 413 & neu != 420 & neu != 421 & neu != 422 & neu != 423 & neu != 430 & neu != 431 & neu != 432 & neu != 433 & neu != 440 & neu != 610 & neu != 620 & neu != 630 & neu != 640 & versichertenstatus <3, re
Code:
mfx
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input float(zeitarbeit_dummy vollzteilz_dummy taetigkeitberuf_dummy unangelernt gelerntfacharbeiter vorarbeiter industriewerk qualifiziert hochqualifiziert fuehrungsaufgaben) 0 1 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 1 1 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 1 1 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 end
Thank you very much.
Kind regards,
Tina
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