EconPapers    
Economics at your fingertips  
 

Effects of life expectancy on economic growth: new results using the flexible Box–Cox power transformation model

Albert Okunade and Ahmad Osmani

Applied Economics Letters, 2020, vol. 27, issue 20, 1681-1684

Abstract: This article revisits the effects of life expectancy (LE) on economic growth reported in previous research. Maximum likelihhod estimates are obtained based on the monotonic nonlinear flexible Box–Cox power transformation regression model. This variance stabilizing model, unlike the a priori restrictive nested log and linear forms, is a parametrically richer flexible functional form for transforming the dependent and independent variables separately with different power parameters. The conditional LE elasticity of income estimates are found to vary across fitted models and the more robust flexible Box–Cox power model outperforms the restrictive linear and log specifications fitted in past work. Contrary to past findings indicating large negative and highly elastic (statistically significant) LE elasticity of income, new results from the preferred fully flexible Box–Cox model incorporating the nonlinear effect yield a much smaller negative (statistically significant) and inelastic LE elasticity of income estimate. The study explores some policy options for enhancing economic growth during periods of high or rising LE.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2020.1713976 (text/html)
Access to full text is restricted to subscribers.

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:taf:apeclt:v:27:y:2020:i:20:p:1681-1684

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/13504851.2020.1713976

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:apeclt:v:27:y:2020:i:20:p:1681-1684