J. Scott Long - Indiana University
Department of Sociology | Department of Statistics
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XPost: post-estimation interpretation with Excel

Simon Cheng and Scott Long

XPost is a collection of Excel workbooks that make complex, post-estimation interpretation of regression models for categorical and dependent variables simple regardless of the program used to estimate the model. While the use of these workbooks is straight forward, please take the time to read the documentation in xpost.pdf. The following workbooks are available. Each must be unzipped before it is used:

blogit.xls: binary logit
bprobit.xls: binary probit
ologit.xls: ordinal logit
glogit.xls: generalized ordered logit
mlogit.xls: multinomial logit
count.xls: Poisson regression and negative binomial regression

For questions, contact Simon Cheng.

© 2018 J. Scott Long