This presentation will cover a collection of statistics teaching tools written in Stata. These programs involve demonstrations or simulations of various statistical topics that are used both in the classroom and individually by the students. Topics include probability (coin, dice, box models),...

Stata's svytab command is quite limited because tables that users need to produce for reports often involve extracting a single point estimate (and standard error, confidence intervals, or p-value) from each of dozens or hundreds of svytab commands. Svytabs was designed to produce these tables...

This web page provides an executive summary of the North American Stata Users' Group Meeting held in Boston, Massachusetts, 12-13 March 2001.

I receive several (ir)regular deliveries of data files for the on-going development of a panel data set. Both the delivering agency systems and the targets of our research group change over time -- by the hour and/or by the year. I need to be able to identify from the filenames which Stata .dta...

Circular data are a large class of directional data, which are of interest to scientists in many fields, including biologists (movements of migrating animals), meteorologists (winds), geologists (directions of joints and faults) and geomorphologists (landforms, oriented stones). Such examples...

Many researchers need to estimate panel data models in which either the idiosyncratic term is autocorrelated or the model includes a lagged dependent variable. This talk will review some of the estimation and inference methods that have appeared in the econometric literature to deal with these...

Some data sets contain observations corresponding to pairs of entities (people, companies, countries, etc.). Conceptually, each observation corresponds to a cell in a square matrix, where the rows and columns are labelled by the entities. For example, consider a square matrix where the rows and...

Testing for omitted variables should play an important part in specification analyses of statistical "linear form" models. Such omissions may comprise terms in variables that were included themselves (e.g., a quadratic term, or a categorical specification instead of a metric one), interactions...

Often researchers need to build longitudinal data sets in order to study individuals and families or firms and plants across time. No matter if individuals or firms are points of interest, the resulting matrix is no longer rectangular due to the changes in family or firm composition. Many times...

This talk will present the program for univariate normal mixture maximum likelihood estimation developed by the author. It will demonstrate the use of -ml lf- estimation method, as well as a number of programming tricks, including global macros manipulation and dynamic definition of the program...