Survey regression models

• linear regressions
• logistic regressions
• multinomial logistic regression
• negative binomial regression
• ordered logistic regression
• probit regressions
• ordered probit regressions
• Poisson regressions
• censored and interval regression
• instrumental variables regression
• Heckman selection model
• Probit estimation with selection

Variance and standard error estimates

• Taylor-series linearization (Huber/White/sandwich)
• balanced and repeated replications (BRR)*
• survey jackknife*

Sampling designs

• sampling (probability) weights
• stratification
• clustering
• multistage designs*
• finite population correction in all stages*

Features

• design effects
• misspecification effects
• effects for linearcombinations*
• estimate linear/nonlinear combinations of parameters
• hypotheses tests for survey data
• poststratification*
• estimation with linear constraints

Summary statistics

• population and subpopulation means
• population and subpopulation proportions
• population and subpopulation ratios
• population and subpopulation totals
• provide full covariance estimates across subpopulations*

Summary tables

• two-way contingency tables with tests of independence
• one-way tables*
• table describing the sampling design of survey data*

Marginal effects

• marginal effects and elasticities
• standard errors and confidence intervals
• computed at means or specified covariate values
• computed for any predicted statistic

Maximum pseudo-likelihood estimation

• user-defined likelihoods
• survey characteristics automatically handled