This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

A New Continuous Distribution and Two New Families of Distributions Based on the Exponential

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Guillermina Jasso () (New York University and IZA)
Samuel Kotz () (George Washington University)

Additional information is available for the following registered author(s):

Abstract

Recent work on social status led to derivation of a new continuous distribution based on the exponential. The new variate, termed the ring(2)-exponential, in turn leads to derivation of two closely-related new families of continuous distributions, which we call the mirrorexponential and the ring-exponential. Both the standard exponential and the ring(2)- exponential are special cases of both the new families. In this paper, we first focus on the ring(2)-exponential, describing its derivation and examining its properties, and next introduce the two new families, describing their derivation and initiating exploration of their properties. The mirror-exponential arises naturally in the study of status; the ring-exponential arises from the mathematical structure of the ring(2)-exponential. Both have potential for broad application in diverse contexts across science and engineering, including the physical and social sciences as well as finance, information processing, and communication. Within sociobehavioral contexts, the new mirror-exponential may have application to the problem of approximating the form and inequality of the wage distribution.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: ftp://repec.iza.org/RePEc/Discussionpaper/dp2598.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 2598.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length: 40 pages
Date of creation: Feb 2007
Date of revision:
Handle: RePEc:iza:izadps:dp2598

Contact details of provider:
Postal: IZA, P.O. Box 7240, D-53072 Bonn, Germany
Phone: +49 228 3894 223
Fax: +49 228 3894 180
Web page: http://www.iza.org

Order Information:
Postal: IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany
Email:

For technical questions regarding this item, or to correct its listing, contact: (Mark Fallak).

Related research
Keywords: continuous univariate distributions Erlang distribution general Erlang distribution gamma distribution general gamma distribution folded distributions Gini coefficient social status social inequality wage function wage distribution wage inequality

Other versions of this item:

Find related papers by JEL classification:
C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Econometric and Statistical Methods; Specific Distributions
D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
D6 - Microeconomics - - Welfare Economics
I3 - Health, Education, and Welfare - - Welfare and Poverty

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? RePEc encourages publishers to make their bibliographic data freely available to the public.

This page was last updated on 2008-10-6.


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.