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From |
Stefanie Kneer <stefanie.greenlight@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Question: Ordered logit- suspicious odds ratio |

Date |
Mon, 16 Apr 2012 12:12:59 +0100 |

Dear Statalist I am encountering running an ordered logit regression with the following panel data ranging from 1992-2010. describe p11101 regionunempl unempl_empl interaction storage display value variable name type format label variable label p11101 byte %8.0g life satisfaction -discrete from 0-10 regionunempl float %9.0g Region unempl. % unempl_empl float %9.0g dummy for being 1=unemployed and 0=employed interaction float %9.0g regionalunemployment rate*unemployment dummy I am trying to identify the link between unemployment and happiness and in particular whether there exists a social norm effect. P11101 is thus my dependent variable and as it is discrete I was planning to run an ordered logit but I am encountering difficulties when trying to calculate the odds ratio. As can be seen the social norm effect, and thus whether you feel more comfortable when other people around you are not working, too is massively big (27). That looks kind of suspicious to me. Could you give me an advice on why this is the case and what I should do about it? . ologit p11101 regionunempl unempl interaction Iteration 0: log likelihood = -107509.12 Iteration 1: log likelihood = -105541.28 Iteration 2: log likelihood = -105528.36 Iteration 3: log likelihood = -105528.35 Ordered logistic regression Number of obs = 56383 LR chi2(3) = 3961.52 Prob > chi2 = 0.0000 Log likelihood = -105528.35 Pseudo R2 = 0.0184 p11101 Coef. Std. Err. z P>z [95% Conf. Interval] regionunempl -2.432835 .2575799 -9.44 0.000 -2.937682 -1.927988 unempl_empl -1.553812 .0582462 -26.68 0.000 -1.667972 -1.439651 interaction 3.328277 .5334905 6.24 0.000 2.282655 4.3739 /cut1 -5.818645 .0631414 -5.9424 -5.69489 /cut2 -5.117788 .0485202 -5.212886 -5.02269 /cut3 -4.1215 .0365478 -4.193132 -4.049867 /cut4 -3.197854 .03115 -3.258907 -3.136801 /cut5 -2.555403 .029175 -2.612585 -2.498221 /cut6 -1.412781 .0273739 -1.466432 -1.359129 /cut7 -.7113589 .0268356 -.7639557 -.658762 /cut8 .3526261 .0266994 .3002962 .4049559 /cut9 2.181154 .0297466 2.122851 2.239456 /cut10 3.81373 .0426953 3.730049 3.897411 ologit p11101 regionunempl unempl interaction,or Iteration 0: log likelihood = -107509.12 Iteration 1: log likelihood = -105541.28 Iteration 2: log likelihood = -105528.36 Iteration 3: log likelihood = -105528.35 Ordered logistic regression Number of obs = 56383 LR chi2(3) = 3961.52 Prob > chi2 = 0.0000 Log likelihood = -105528.35 Pseudo R2 = 0.0184 p11101 Odds Ratio Std. Err. z P>z [95% Conf. Interval] regionunempl .0877876 .0226123 -9.44 0.000 .0529884 .1454406 unempl_empl .2114405 .0123156 -26.68 0.000 .1886292 .2370104 interaction 27.89025 14.87919 6.24 0.000 9.802672 79.35247 /cut1 -5.818645 .0631414 -5.9424 -5.69489 /cut2 -5.117788 .0485202 -5.212886 -5.02269 /cut3 -4.1215 .0365478 -4.193132 -4.049867 /cut4 -3.197854 .03115 -3.258907 -3.136801 /cut5 -2.555403 .029175 -2.612585 -2.498221 /cut6 -1.412781 .0273739 -1.466432 -1.359129 /cut7 -.7113589 .0268356 -.7639557 -.658762 /cut8 .3526261 .0266994 .3002962 .4049559 /cut9 2.181154 .0297466 2.122851 2.239456 /cut10 3.81373 .0426953 3.730049 3.897411 Many thanks, Stefanie * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Question: Ordered logit- suspicious odds ratio***From:*brendan.halpin@ul.ie (Brendan Halpin)

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