Roodman (Stata Journal, 2011) introduced the program cmp for using maximum likelihood to fit multiequation combinations of Gaussian-based models such as tobit, probit, ordered probit, multinomial probit, interval censoring, and continuous linear. This presentation describes substantial...

Biographical data gathered in surveys is often stored in spell format, allowing for overlaps between spell states. This gives useful information to researchers but leaves them with a very complex data structure, which is not easy to handle. I present my work on the ado-package newspell. It...

When one estimates discrete choice models, the mixed logit approach is commonly superior to simple conditional logit setups. Mixed logit models not only allow the researcher to implement difficult random components but also overcome the restrictive IIA assumption. Despite these theoretical...

In this talk, we will show how to use simulations in Stata to explore to what extent and under what circumstances a test is problematic. We will illustrate this for a set of tests of the parallel regression assumption in ordered logit and probit models: the Brant, likelihood ratio, Wald, score,...

Complex statistical tables often must be built up by parts from the results of multiple Stata commands. I show the capabilities of frmttable and outreg for creating complex tables, and even fully formatted statistical appendices, for Word and TeX documents. Precise formatting of these tables...

The National Educational Panel Study (NEPS) is rising as one of Germany's major publisher of scientific use data for educational research. Disseminating data from six panel cohorts makes not only structured data editing but also documentation and user support a major challenge. In order to...

Tables of estimated regression coefficients, usually accompanied by additional information such as standard errors, t statistics, p-values, confidence intervals, or significance stars, have long been the preferred way of communicating results from statistical models. In recent years, however,...

In a 2012 article in the Journal of Business and Economic Statistics, Arthur Lewbel presented the theory of allowing the identification and estimation of "mismeasured and endogenous regressor models" by exploiting heteroskedasticity. These models include linear regression models customarily...

This paper develops an implementation method of a simulated multivariate random-effects probit model for unbalanced panels, illustrating it by using artificial data. By mdraws, generated Halton draws are used to simulate multivariate normal probabilities with the command mvnp(). The estimator...

Econometricians have begun to devote more attention to spatial interactions when carrying out applied econometric studies. The new command we are presenting, xsmle, fits fixed- and random-effects spatial models for balanced panel data for a wide range of specifications: the spatial...