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CODCI: Stata module to calculate Bonett-Seier's Confidence Interval for the COD

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Author Info
Mamoun BenMamoun () (Public Policy Research Center, University of Missouri - St. Louis)
Abstract

The codci command computes Bonett-Seier's confidence interval for the coefficient of dispersion of samples from nonnormal distributions. Bonett & Seier (2006) argue that the proposed confidence interval performs as well or better than the BCa bootstrap method. The codci command takes, as input, one scale variable. In appraisal ratio studies, this variable could be the appraisal or assessment ratios.

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File URL: http://fmwww.bc.edu/repec/bocode/c/codci.ado
File Format: text/plain
File Function: program code
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/c/codci.hlp
File Format: text/plain
File Function: help file
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File URL: http://fmwww.bc.edu/repec/bocode/r/ratiostudy.dta
File Format: application/x-stata
File Function: sample data file
Download Restriction: no

Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S456766.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
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Programming language: Stata
Requires: Stata version 9.2
Date of creation: 02 Oct 2006
Date of revision:
Handle: RePEc:boc:bocode:s456766

Note: This module may be installed from within Stata by typing "ssc install codci". Windows users should not attempt to download these files with a web browser.
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Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
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Web page: http://fmwww.bc.edu/EC/
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For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: ratio study statistics mass appraisal performance evaluation coefficient of dispersion

Statistics
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This page was last updated on 2008-7-24.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.