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Record Search Query: ServiceParameters>DATA ANALYSIS AND VISUALIZATION>STATISTICAL APPLICATIONS

EI: A Program for Ecological Inference
Entry ID: HU_EI

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Summary
Abstract: This program provides easy-to-use methods of running all the statistical procedures, diagnostics, and graphics developed in A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data (Princeton University Press, 1997). The program requires Gauss and the Gauss module CML. It can run on any computer system that runs Gauss. The file comes with a postscript version of the documentation; or you can read the documentation on-line, or download a pdf version.
Related URL
Description: This program provides methods for running statistical procedures, diagnostics, and graphics.
Service Citation
Originators: Garyl King
Title: EI: A Program for Ecological Inference
Release_Date: 2003-02-08
Provider: Harvard University
URL: http://gking.harvard.edu/ei
Service Keywords
DATA ANALYSIS AND VISUALIZATION >STATISTICAL APPLICATIONS Parameter Definition

ISO Topic Category
SOCIETY
Use Constraints The program requires Gauss and the Gauss module CML.
Ancillary Keywords
ecological inference

Service Provider
HARVARD/IQSS > Institute for Qualitative Social Science, Harvard University Supplemental Info
Service Organization URL: http://www.iq.harvard.edu/

Service Provider Personnel
Name: GARY KING
Phone: (617) 495-2027
Email: king at Harvard.edu
Contact Address:
Harvard University
Center for Basic Research in the Social Sciences
34 Kirkland Street
City: Cambridge
Province or State: Massachusetts
Postal Code: 02138
Country: USA
Personnel
GARY KING
Role: TECHNICAL CONTACT
Phone: (617) 495-2027
Email: king at Harvard.edu
Contact Address:
Harvard University
Center for Basic Research in the Social Sciences
34 Kirkland Street
City: Cambridge
Province or State: Massachusetts
Postal Code: 02138
Country: USA
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Publications/References
A Solution to the Ecological Inference Problem: Reconstructing Individual
Behavior from Aggregate Data (Princeton University Press, 1997).
Creation and Review Dates
SERF Creation Date: 2003-04-28
SERF Last Revision Date: 2011-12-21
Future SERF Review Date: 2004-04-28
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