Hello,
I want to investigate the determinants of job-education mismatches. I ran logistic regress and then the linktest. The_hatsq value is significant, indicating problem with the model specification. My R-squared is also pretty low.
Y = having mismatch job = 1 and 0 otherwise.
year = dummies of time = year of survey
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linktest result:
newmatch Coef. Std. Err. z P>z [95% Conf. Interval]
_hat .8927595 .0154203 57.90 0.000 .8625363 .9229826
_hatsq .0897623 .0088951 10.09 0.000 .0723282 .1071964
_cons -.0569142 .0159678 -3.56 0.000 -.0882105 -.0256179
I tried to alter my model by adding interaction between variables. However, I still got the significant _hatsq (P = 0.000). Do you have any recommendations on what I should do/ modify with the model?
linktest result:
newmatch Coef. Std. Err. z P>z [95% Conf. Interval]
_hat .9058087 .0156475 57.89 0.000 .8751401 .9364773
_hatsq .0752449 .0087495 8.60 0.000 .0580962 .0923935
_cons -.0460228 .0157786 -2.92 0.004 -.0769483 -.0150973
Thank you so much in advance .
I want to investigate the determinants of job-education mismatches. I ran logistic regress and then the linktest. The_hatsq value is significant, indicating problem with the model specification. My R-squared is also pretty low.
Y = having mismatch job = 1 and 0 otherwise.
year = dummies of time = year of survey
Code:
logit newmatch i.reg i.area i.sex age i.marital i.edule i.status i.subject i.year linktest
linktest result:
newmatch Coef. Std. Err. z P>z [95% Conf. Interval]
_hat .8927595 .0154203 57.90 0.000 .8625363 .9229826
_hatsq .0897623 .0088951 10.09 0.000 .0723282 .1071964
_cons -.0569142 .0159678 -3.56 0.000 -.0882105 -.0256179
I tried to alter my model by adding interaction between variables. However, I still got the significant _hatsq (P = 0.000). Do you have any recommendations on what I should do/ modify with the model?
Code:
logit newmatch i.reg i.area i.sex##i.subject c.age##c.age i.marital i.edule i.status i.year linktest
newmatch Coef. Std. Err. z P>z [95% Conf. Interval]
_hat .9058087 .0156475 57.89 0.000 .8751401 .9364773
_hatsq .0752449 .0087495 8.60 0.000 .0580962 .0923935
_cons -.0460228 .0157786 -2.92 0.004 -.0769483 -.0150973
Thank you so much in advance .
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