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An analysis of life expectancy and economic production using expectile frontier zones

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Author Info
Sabine K. Schnabel (Biometris, Wageningen University)
Paul H.C. Eilers (Erasmus Medical Center, Rotterdam)
Abstract

The wealth of a country is assumed to have a strong non-linear influence on the life expectancy of its inhabitants. We follow up on research by Preston and study the relationship with gross domestic product. Smooth curves for the average but also for (upper) frontiers are constructed by a combination of least asymmetrically weighted squares and P-splines. Guidelines are given for optimizing the amount of smoothing and the definition of frontiers. The model is applied to a large set of countries in different years. It is also used to estimate life expectancy performance for individual countries and to show how it changed over time.

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File URL: http://www.demographic-research.org/volumes/vol21/5/21-5.pdf
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Publisher Info
Article provided by Max Planck Institute for Demographic Research, Rostock, Germany in its journal Demographic Research.

Volume (Year): 21 (2009)
Issue (Month): 5 (August)
Pages: 109-134
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Handle: RePEc:dem:demres:v:21:y:2009:i:5

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Related research
Keywords: frontier estimation; gross domestic product; least asymmetrically weighted squares; life expectancy; production frontier; smoothing;

Find related papers by JEL classification:
J1 - Labor and Demographic Economics - - Demographic Economics
Z0 - Other Special Topics - - General

References listed on IDEAS
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  1. Schnabel, Sabine K. & Eilers, Paul H.C., 2009. "Optimal expectile smoothing," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4168-4177, October. [Downloadable!] (restricted)
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This page was last updated on 2009-12-16.


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