help estimation commands
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Title
[I] estimation commands -- Quick reference for estimation commands
Description
This entry provides a quick reference for Stata's estimation commands.
Because enhancements to Stata are continually being made, type search
estimation commands for possible additions to this list; see [R] search.
For a discussion of properties shared by all estimation commands, see
estcom.
For a list of prefix commands that can be used with many of these
estimation commands, see [U] 11.1.10 Prefix commands.
command description
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anova Analysis of variance and covariance
arch ARCH family of estimators
areg Linear regression with a large dummy-variable set
arima ARIMA, ARMAX, and other dynamic regression models
asclogit Alternative-specific conditional logit (McFadden's
choice) model
asmprobit Alternative-specific multinomial probit regression
asroprobit Alternative-specific rank-ordered probit regression
binreg Generalized linear models: Extensions to the
binomial family
biprobit Bivariate probit regression
blogit Logistic regression for grouped data
boxcox Box-Cox regression models
bprobit Probit regression for grouped data
bsqreg Quantile regression with bootstrap standard errors
ca Simple correspondence analysis
camat Simple correspondence analysis of a matrix
candisc Canonical linear discriminant analysis
canon Canonical correlations
clogit Conditional (fixed-effects) logistic regression
cloglog Complementary log-log regression
cnsreg Constrained linear regression
dfactor Dynamic-factor models
discrim knn kth-nearest-neighbor discriminant analysis
discrim lda Linear discriminant analysis
discrim logistic Logistic discriminant analysis
discrim qda Quadratic discriminant analysis
dvech Diagonal vech GARCH models
eivreg Errors-in-variables regression
exlogistic Exact logistic regression
expoisson Exact Poisson regression
factor Factor analysis
factormat Factor analysis of a correlation matrix
frontier Stochastic frontier models
glm Generalized linear models
glogit Logit and probit for grouped data
gmm Generalized method of moments estimation
gnbreg Generalized negative binomial model
gprobit Weighted least-squares probit regression for
grouped data
heckman Heckman selection model
heckprob Probit model with selection
hetprob Heteroskedastic probit model
intreg Interval regression
iqreg Interquantile range regression
ivprobit Probit model with endogenous regressors
ivregress Single-equation instrumental-variables estimation
ivtobit Tobit model with endogenous regressors
logistic Logistic regression, reporting odds ratios
logit Logistic regression, reporting coefficients
manova Multivariate analysis of variance and covariance
mca Multiple and joint correspondence analysis
mds Multidimensional scaling for two-way data
mdsmat Multidimensional scaling of proximity data in a
matrix
mdslong Multidimensional scaling of proximity data in long
format
mean Estimate means
mlogit Multinomial (polytomous) logistic regression
mprobit Multinomial probit regression
mvreg Multivariate regression
nbreg Negative binomial regression
newey Regression with Newey-West standard errors
nl Nonlinear least-squares estimation
nlogit Nested logit model (RUM-consistent and
nonnormalized)
nlsur System of nonlinear equations
ologit Ordered logistic regression
oprobit Ordered probit regression
pca Principal component analysis
pcamat Principal component analysis of a correlation or
covariance matrix
poisson Poisson regression
prais Prais-Winsten and Cochrane-Orcutt regression
probit Probit regression
procrustes Procrustes transformation
proportion Estimate proportions
_qreg Internal estimation command for quantile regression
qreg Quantile regression
ratio Estimate ratios
reg3 Three-stage estimation for systems of simultaneous
equations
regress Linear regression
rocfit Fit ROC models
rologit Rank-ordered logistic regression
rreg Robust regression
scobit Skewed logistic regression
slogit Stereotype logistic regression
sqreg Simultaneous-quantile regression
sspace State-space models
stcox Cox proportional hazards model
stcrreg Competing-risks regression
streg Parametric survival models
sureg Zellner's seemingly unrelated regression
svy: Estimation commands for survey data
svy: tabulate oneway One-way tables for survey data
svy: tabulate twoway Two-way tables for survey data
tobit Tobit regression
total Estimate totals
treatreg Treatment-effects model
truncreg Truncated regression
var Vector autoregressive models
var svar Structural vector autoregressive models
varbasic Fit a simple VAR and graph IRFs and FEVDs
vec Vector error-correction models
vwls Variance-weighted least squares
xtabond Arellano-Bond linear dynamic panel-data estimation
xtcloglog Random-effects and population-averaged cloglog
models
xtdpd Linear dynamic panel-data estimation
xtdpdsys Arellano-Bond/Blundell-Bond estimation
xtfrontier Stochastic frontier models for panel data
xtgee Fit population-averaged panel-data models by using
GEE
xtgls Fit panel-data models using GLS
xthtaylor Hausman-Taylor estimator for error-components
models
xtintreg Random-effects interval data regression models
xtivreg Instrumental variables and two-stage least squares
for panel-data models
xtlogit Fixed-effects, random-effects, and
population-averaged logit models
xtmelogit Multilevel mixed-effects logistic regression
xtmepoisson Multilevel mixed-effects Poisson regression
xtmixed Multilevel mixed-effects linear regression
xtnbreg Fixed-effects, random-effects, and
population-averaged negative binomial models
xtpcse OLS or Prais-Winsten models with panel-corrected
standard errors
xtpoisson Fixed-effects, random-effects, and
population-averaged Poisson models
xtprobit Random-effects and population-averaged probit
models
xtrc Random-coefficients models
xtreg Fixed-, between-, and random-effects, and
population-averaged linear models
xtregar Fixed- and random-effects linear models with an
AR(1) disturbance
xttobit Random-effects tobit models
zinb Zero-inflated negative binomial regression
zip Zero-inflated Poisson regression
ztnb Zero-truncated negative binomial regression
ztp Zero-truncated Poisson regression
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Also see
Manual: [I] estimation commands
Help: [U] 20 Estimation and postestimation commands (estimation),
[U] 20 Estimation and postestimation commands (postestimation)
