EconPapers    
Economics at your fingertips  
 

On a closed-form expression and its approximation to Gompertz life disparity

Cinzia Di Palo
Additional contact information
Cinzia Di Palo: Università degli Studi di Cassino e del Lazio Meridionale

Demographic Research, 2023, vol. 49, issue 1, 1-12

Abstract: Background: In the literature, there exists a closed form solution to the remaining life expectancy at age x when mortality is governed by the Gompertz law. This expression contains a special function that allows us to construct high-accuracy approximations, which are also helpful in assessing the elasticity of life expectancy with respect to the model parameters. However, to my knowledge, a similar formulation for life disparity does not exist, and as a consequence, it does not exist for life table entropy either. Contribution: Under the assumption that mortality is governed by the Gompertz law, I present and prove a closed form expression for life disparity at age x that is similar to that existing for life expectancy. Since the closed form expressions hold for both life expectancy and life disparity, an exact expression for the life table entropy is immediately derived. In addition, using known relationships on the exponential integral function, an approximate form for life disparity is also obtained.

Keywords: life disparity; life table; entropy; exponential integral functions (search for similar items in EconPapers)
JEL-codes: J1 Z0 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.demographic-research.org/volumes/vol49/1/49-1.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dem:demres:v:49:y:2023:i:1

DOI: 10.4054/DemRes.2023.49.1

Access Statistics for this article

More articles in Demographic Research from Max Planck Institute for Demographic Research, Rostock, Germany
Bibliographic data for series maintained by Editorial Office ().

 
Page updated 2025-03-19
Handle: RePEc:dem:demres:v:49:y:2023:i:1