Dear all,
Thanks to Kit Baum, a new package, xtprobitunbal, is now available for download from SSC. In Stata, you can install it by typing
. ssc install xtprobitunbal, all
This package estimates dynamic correlated random effects (CRE) Probit models with unbalanced panels; this command xtprobitunbal estimates these models allowing for the unbalancedness process to be correlated with the time-invariant unobserved heterogeneity. It reduces the computational burden of the maximum likelihood (ML) estimation, while keeping its good asymptotic properties. We also introduce the command mgf_unbal to compute the marginal effects of the variables of the model and its standard errors.
The packages also includes a Stata script and a dataset to provide users with examples that implements these commands
Best wishes,
Pedro
Thanks to Kit Baum, a new package, xtprobitunbal, is now available for download from SSC. In Stata, you can install it by typing
. ssc install xtprobitunbal, all
This package estimates dynamic correlated random effects (CRE) Probit models with unbalanced panels; this command xtprobitunbal estimates these models allowing for the unbalancedness process to be correlated with the time-invariant unobserved heterogeneity. It reduces the computational burden of the maximum likelihood (ML) estimation, while keeping its good asymptotic properties. We also introduce the command mgf_unbal to compute the marginal effects of the variables of the model and its standard errors.
The packages also includes a Stata script and a dataset to provide users with examples that implements these commands
Best wishes,
Pedro

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