Transcription of Estimation and postestimation commands
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Estimation and postestimation commands
20 Estimation and postestimation Estimation commands work the same prior Estimation Estimation the Estimation the width of confidence the coefficient the variance covariance Obtaining predicted Using Making in-sample Making out-of-sample Obtaining standard errors, tests, and confidence intervals for Accessing estimated Performing hypothesis tests on the Linear Using Likelihood-ratio Nonlinear Wald Obtaining linear combinations of Obtaining nonlinear combinations of Obtaining marginal means, adjusted predictions, and predictive Obtaining estimated marginal Obtaining adjusted Obtaining predictive Obtaining conditional and average marginal Obtaining conditional marginal Obtaining average marginal Obtaining pairwise Obtaining contrasts, tests of interactions, and main Graphing margins, marginal effects, and Dynamic forecasts and Obtaining robust variance Interpreting standard Correlated errors: cluster robust standard Obtaining Weighted Frequency Analytic Sampling Importance A list of postestimation References12 [ U ] 20 Estimation and postestimat
results. For instance, after fitting a model with regress, you can see the estimates again by typing regress by itself. You do not have to do this immediately—any number of commands can occur between the estimation and the replaying, and, in fact, you can even replay the last
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