This document summarizes the "Wishes and Grumbles" session, at which participants interact with StataCorp developers in providing critiques and suggestions for Stata's improvement.

We manage a longitudinal research data bank containing 3,000 variables that adds 25,000 observations per year. Data are batch converted from SQL to Stata on a daily basis, resulting in the creation of 20 preliminary data sets. We then use Stata to quality control the data and to prepare a single...

Binary response variables arise in a variety of studies. It is often of interest to summarize a treatment effect in terms of the difference in proportions of successes between groups. Stata produces the Wald-type asymptotic CI for differences in proportions in -cs- and -glm , family(binomial)...

Bowie State University requires a software course in their 3-course research sequence. The course covers descriptive and inferential statistics and some data management using Stata and SPSS syntax. The professor provides a diskette with the datasets and all class syntax files and a course...

Earlier studies based on the analyses of data from the Third International Mathematics and Science Study (TIMSS) identified an interesting but conflicting finding for the effects of three self-perception measures on students' achievement in the two subjects at two different levels:...

Stata's xi command performs dummy (indicator) coding on the fly and with the "*" operator allows for the interaction of two categorical variables or a categorical with a continuous variable. xi3 extends the capabilities of xi to include a number of additional coding systems and can create...

Stata is a general purpose statistical package with especially strong data manipulation and regression modeling capabilities. It appears to be especially strong in statistical techniques used by econometricians and biostatisticians. As psychologists, among others, adopt it, certain relative...

We discuss instrumental variables (IV) estimation in the broader context of the generalized method of moments (GMM), and describe an extended IV estimation routine that provides GMM estimates as well as additional diagnostic tests. Stand-alone test procedures for heteroskedasticity,...

Despite a history now over 30 years long, the adoption of generalised linear models (GLMs) remains patchy: they are well known in several fields, but used little if at all in many others. One major advantage of GLMs is that they return predictions on the scale of the response. The use of link...

gllamm can estimate both conventional and unconventional latent class models. Models are specified using discrete latent variables whose values determine the conditional response distributions for the classes. A new feature of gllamm is that latent class probabilities can depend on covariates....