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help for ^fitstat^ - 03Nov2005
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To document: ztp and ztnb
: option nostata to supress bic aic based on stata formula
Compute fit statistics for single equation regression models.
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^fitstat^ [^, s^aving^(name)^ ^u^sing^(name)^ ^b^ic ^force^ ^save^ ^diff^]
Description
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^fitstat^ is a post-estimation command that computes a variety of measures
of fit for many kinds of regression models. It works after the following:
^clogit^, ^cnreg^, ^cloglog^, ^intreg^, ^logistic^, ^logit^, ^mlogit^, ^nbreg^, ^ocratio^,
^ologit^, ^oprobit^, ^poisson^, ^probit^, ^regress^, ^zinb^, and ^zip^. With the ^s^aving^()^
and ^u^sing^()^ options, it can also be used to compare fit measures for two
different models.
For all models, ^fitstat^ reports the log-likelihoods of the full and
intercept-only models, the deviance (D), the likelihood ratio chi-square
(G2), Akaike's Information Criterion (AIC), AIC*N, the Bayesian Information
Criterion (BIC), and BIC'.
For all models except ^regress^, ^fitstat^ reports McFadden's R2, McFadden's
adjusted R2, the maximum likelihood R2, and Cragg & Uhler's R2. These
measures all equal R2 for OLS regression. ^fitstat^ reports R2 and the
adjusted R2 after ^regress^.
fitstat reports the regular and adjusted count R2 for categorical data models.
For ordered or binary logit or probit models, as well as models for censored
data (^tobit^, ^cnreg^, or ^intreg^), it also reports McKelvey and Zavonia's R2.
In addition, it reports Efron's R2 for ^logit^ or ^probit^.
Not all measures are provided for models estimated with ^pweight^s or ^iweight^s.
Options
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^saving(^name^)^ saves the computed measures in a matrix for subsequent
comparisons. Name cannot be longer than 4 characters.
^using(^name^)^ compares the fit measures for the current model with those of
the model saved as name. Name cannot be longer than 4 characters.
^bic^ only presents information measures.
^force^ will compare two models even when the number of observations or the
estimation method varies between the two models.
^save^ and ^diff^ are equivalents of saving(0) and using(0) and do not require
the user to provide model names.
Examples
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To compute fit statistics for a single model:
. ^use mroz,clear^
. ^logit lfp k5 k618 age wc hc lwg inc^
. ^fitstat^
To compute and save fit measures:
. ^logit lfp k5 k618 age wc hc lwg inc^
. ^fitstat, saving(mod1)^
To compare saved model to current model:
. ^logit lfp k5 k618 age age2 wc hc lwg inc^
. ^fitstat, using(mod1)^
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Authors: J. Scott Long and Jeremy Freese
www.indiana.edu/~jslsoc/spost.htm
spostsup@@indiana.edu