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<[email protected]> |

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<[email protected]> |

Subject |
st: Interpretation of margins with clogit model |

Date |
Fri, 22 Jan 2010 13:02:39 -0000 |

Dear Statalist, I have a clogit (or xtlogit, fe) model to describe data on school district financial outcomes. The fitted model has three polynomial (X2) terms. I am using "margins" to understand the impact of the X2 terms over the range of variable values. My first question is whether anyone has a better idea of how to interpret an X2 term in a clogit model. My second question relates to interpretation of the "margins" output: If I run "margins, at (Var 1 = 100,200,300,400,500) predict (pu0)", I get a list of average marginal effects associated with each value of the variable I have requested. My plan at this point is to graph the marginal effects output (value of variable on x axis, marginal change in probability on the y-axis), because my understanding is that I cannot get an absolute probability for specific variable values for clogit inputs. If the "margins" output demonstrates the following for "Variable 1": At 100, ME = 0.292, SE = 0.066, Z = 4.410, P = 0.000 At 200, ME = 0.217, SE = 0.064, Z = 3.370, P = 0.001 At 300, ME = 0.159, SE = 0.064, Z = 2.490, P = 0.013 At 400, ME = 0.118, SE = 0.062, Z = 1.890, P = 0.059 At 500, ME = 0.088, SE = 0.059, Z = 1.490, P = 0.135 ...does this then mean, "An increase in Variable 1 from 100 to 200 [a 1-unit change in the data] is associated with a 22% increase in probability of success", and "An increase from 200 to 300 in Variable 1 is associated with a 16% increase in the probability of success", and so on? Any insight or suggestions will be appreciated. Cora Please access the attached hyperlink for an important electronic communications disclaimer: http://www.lse.ac.uk/collections/planningAndCorporatePolicy/legalandComplianceTeam/legal/disclaimer.htm * * 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/

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