.- help for ^fitstat^ - 03Nov2005 .- To document: ztp and ztnb : option nostata to supress bic aic based on stata formula Compute fit statistics for single equation regression models. ------------------------------------------------------------- ^fitstat^ [^, s^aving^(name)^ ^u^sing^(name)^ ^b^ic ^force^ ^save^ ^diff^] Description ----------- ^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 ------- ^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 -------- 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)^ .- Authors: J. Scott Long and Jeremy Freese www.indiana.edu/~jslsoc/spost.htm spostsup@@indiana.edu