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st: Interpretation of Coefficients - Ordered Probit Regression
From
Yuval Arbel <[email protected]>
To
statalist <[email protected]>
Subject
st: Interpretation of Coefficients - Ordered Probit Regression
Date
Wed, 11 Sep 2013 17:35:21 +0300
Dear Statalisters,
I would like to ask whether there is any direct interpretation to the
coefficients obtained from the Ordered-Probit regression (apart from
sign and significance)
For instance, here is an example, where the dependent variable is
self-ranking of household's income on a scale between 1 to 5
As always, your answers will be highly appreciated
. oprobit avg_fm_inc rel_age orth_age age if male==1 & avg_fm_inc>0
Iteration 0: log likelihood = -150.03974
Iteration 1: log likelihood = -147.51265
Iteration 2: log likelihood = -147.51213
Iteration 3: log likelihood = -147.51213
Ordered probit regression Number of obs = 103
LR chi2(3) = 5.06
Prob > chi2 = 0.1678
Log likelihood = -147.51213 Pseudo R2 = 0.0168
------------------------------------------------------------------------------
avg_fm_inc | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
rel_age | -.0151282 .0078644 -1.92 0.054 -.0305421 .0002858
orth_age | -.0171244 .0090368 -1.89 0.058 -.0348362 .0005875
age | .0096716 .0120724 0.80 0.423 -.0139899 .033333
-------------+----------------------------------------------------------------
/cut1 | -1.249527 .3469838 -1.929603 -.5694517
/cut2 | -.4162616 .3304927 -1.064015 .2314923
/cut3 | .4598018 .3336116 -.1940649 1.113668
/cut4 | 1.679019 .372254 .9494143 2.408623
------------------------------------------------------------------------------
--
Dr. Yuval Arbel
School of Business
Carmel Academic Center
4 Shaar Palmer Street,
Haifa 33031, Israel
e-mail1: [email protected]
e-mail2: [email protected]
You can access my latest paper on SSRN at: http://ssrn.com/abstract=2263398
You can access previous papers on SSRN at: http://ssrn.com/author=1313670
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