Publication Type
Journal Article
Version
publishedVersion
Publication Date
12-1996
Abstract
Ecological inference, as traditionally defined, is the process of using aggregate (i.e., ecological) data to infer discrete individual-level relationships of interest when individual-level data are not available. Existing methods of ecological inference generate very inaccurate conclusions about the empirical world- which thus gives rise to the ecological inference problem. Most scholars who analyze aggregate data routinely encounter some form of this problem. EI (by Gary King) and EzI (by Kenneth Benoit and Gary King) are freely available software that implement the statistical and graphical methods detailed in Gary King's book A Solution to the Ecological Inference Problem. These methods make it possible to infer the attributes of individual behavior from aggregate data. EI works within the statistics program Gauss and will run on any computer hardware and operating system that runs Gauss (the Gauss module, CML, or constrained maximum likelihood- by Ronald J. Schoenberg- is also required). EzI is a menu-oriented stand-alone version of the program that runs under MS-DOS (and soon Windows 95, OS/2, and HP-UNIX). EI allows users to make ecological inferences as part of the powerful and open Gauss statistical environment. In contrast, EzI requires no additional software, and provides an attractive menu-based user interface for non-Gauss users, although it lacks the flexibility afforded by the Gauss version. Both programs presume that the user has read or is familiar with A Solution to the Ecological Inference Problem.
Discipline
Models and Methods | Political Science
Research Areas
Political Science
Publication
Social Science Computer Review
Volume
14
Issue
4
First Page
433
Last Page
438
ISSN
0894-4393
Identifier
10.1177/089443939601400405
Publisher
SAGE Publications
Citation
BENOIT, Kenneth, & KING, Gary.(1996). A preview of EI and EzI: Programs for ecological inference. Social Science Computer Review, 14(4), 433-438.
Available at: https://ink.library.smu.edu.sg/soss_research/4010
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.