For some years, I have distributed various computer programs, as well as data sets and paper preprints, via anonymous ftp and gopher. However, like the rest of the world, I recently moved to the world wide web. Thus, these items, among others, are now available from my homepage (and I will begin to phase out access through gopher and ftp):
A description of the computer programs follow.
EI: A Program for Ecological Inference
This program provides easy-to-use methods of running all the statistical procedures, diagnostics, and graphics in a forthcoming book, A Solution to the Ecological Inference Problem. The program requires Gauss and the Gauss module CML. It can run on any computer system that runs Gauss. (A stand-alone version, not requiring Gauss, will be available shortly.)
COUNT: A Program for Estimating Event Count and Duration Regressions
A stand-alone, easy-to-use DOS program for running event count and duration regression models discussed in a series of journal articles by me. (Event count models are for dependent variables measured as the number of times something happens, such as the number of suicides per state or the number of wars per year. Duration models explain dependent variables measured as the time until some event, such as the number of months a parliamentary cabinet endures.)
JudgeIt: A Program for Evaluating Electoral Systems and
A stand-alone DOS program for analyzing almost any feature of single member district, legislative elections data, including prediction, evaluating redistricting plans, estimating counter-factual hypotheses (such as what would happen if a term-limitation amendment were imposed), and others. This implements numerous statistical procedures described in a series of journal articles by Andrew Gelman and me, and was used in the last redistricting cycle in many states by judges, partisans, and others.
A set of Gauss programs and datasets (annotated for pedagogical purposes) to implement many of the maximum likelihood-based models discussed in Unifying Political Methodology: The Likelihood Theory of Statistical Inference, New York: Cambridge University Press, 1989, and used in my class.
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