A preview of EI and EzI: Programs for ecological inference

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...

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Main Authors: BENOIT, Kenneth, KING, Gary
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Language:English
Published: Institutional Knowledge at Singapore Management University 1996
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Online Access:https://ink.library.smu.edu.sg/soss_research/4010
https://ink.library.smu.edu.sg/context/soss_research/article/5268/viewcontent/PreviewEI_EZL_pv.pdf
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spelling sg-smu-ink.soss_research-52682024-09-09T07:16:38Z A preview of EI and EzI: Programs for ecological inference BENOIT, Kenneth KING, Gary 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. 1996-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soss_research/4010 info:doi/10.1177/089443939601400405 https://ink.library.smu.edu.sg/context/soss_research/article/5268/viewcontent/PreviewEI_EZL_pv.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School of Social Sciences eng Institutional Knowledge at Singapore Management University Models and Methods Political Science
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Models and Methods
Political Science
spellingShingle Models and Methods
Political Science
BENOIT, Kenneth
KING, Gary
A preview of EI and EzI: Programs for ecological inference
description 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.
format text
author BENOIT, Kenneth
KING, Gary
author_facet BENOIT, Kenneth
KING, Gary
author_sort BENOIT, Kenneth
title A preview of EI and EzI: Programs for ecological inference
title_short A preview of EI and EzI: Programs for ecological inference
title_full A preview of EI and EzI: Programs for ecological inference
title_fullStr A preview of EI and EzI: Programs for ecological inference
title_full_unstemmed A preview of EI and EzI: Programs for ecological inference
title_sort preview of ei and ezi: programs for ecological inference
publisher Institutional Knowledge at Singapore Management University
publishDate 1996
url https://ink.library.smu.edu.sg/soss_research/4010
https://ink.library.smu.edu.sg/context/soss_research/article/5268/viewcontent/PreviewEI_EZL_pv.pdf
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