Dear all,
I estimated a xtolgit regression using a unbalanced panel. My dependend variable is a cathegorical variable (labor) indicating the labor force status of individuals (4= full employed; 3=part-time employed; 2=mini job; 1=not employed). I want to investigate the effect of getting a heart diseases (heart=1 if yes; 0 otherwise) on the labor force participation.
My command is:
For the first margins command (outcome(4)) I get a coeficient of: -.0609702.
For the second margins command (outcome(3)) I get a coeficient of : .0109574
For the third margins command (outcome(2)) I get a coeficient of: .0070751
For the fourth margins command (outcome(2)) I get a coeficient of: .0429377.
For all p=0.000.
I would interprete my results as following: Getting a heart disease reduces the probability to be full time employed (outcome 4) on average by 6.09702 % points ceteris paribus.
From all people who stop working full-time 17.97 % (0.0109574 / 0.0609702) start working part-time time, 11.60 % (0.0070751 / 0.0609702) start working in a mini job and 70.42 % (0.0429377 / 0.0609702.) stop working completely.
Is this the right way to interprete my model?
I thank you in advance!
I estimated a xtolgit regression using a unbalanced panel. My dependend variable is a cathegorical variable (labor) indicating the labor force status of individuals (4= full employed; 3=part-time employed; 2=mini job; 1=not employed). I want to investigate the effect of getting a heart diseases (heart=1 if yes; 0 otherwise) on the labor force participation.
My command is:
Code:
xtologit labor heart age agesq ses ever_married educ diabetes high_blood_pres stroke depression i.year, vce (cluster pid) margins, dydx(heart) predict(outcome(4)) margins, dydx(heart) predict(outcome(3)) margins, dydx(heart) predict(outcome(2)) margins, dydx(heart) predict(outcome(1))
For the first margins command (outcome(4)) I get a coeficient of: -.0609702.
For the second margins command (outcome(3)) I get a coeficient of : .0109574
For the third margins command (outcome(2)) I get a coeficient of: .0070751
For the fourth margins command (outcome(2)) I get a coeficient of: .0429377.
For all p=0.000.
I would interprete my results as following: Getting a heart disease reduces the probability to be full time employed (outcome 4) on average by 6.09702 % points ceteris paribus.
From all people who stop working full-time 17.97 % (0.0109574 / 0.0609702) start working part-time time, 11.60 % (0.0070751 / 0.0609702) start working in a mini job and 70.42 % (0.0429377 / 0.0609702.) stop working completely.
Is this the right way to interprete my model?
I thank you in advance!