Some determinants of life expectancy in the United States

results from cointegration tests under structural breaks

Natalya Ketenci, Vasudeva N. R. Murthy

Research output: Contribution to journalArticle

Abstract

In the United States, health economists, experts in population studies, and policy makers seek to understand the important factors that augment life expectancy. This paper attempts to identify empirically effects of some major determinants on life expectancy in the United States during the period 1960–2012. Recently developed powerful methods of unit root testing and cointegration analysis, Carrion-i-Silvestre et al. Economet Theor, 25, 1754–1792, (2009), Perron and Yabu J Bus Econ Stat, 27, 369–96, (2009), Kejriwal and Perron J Econ, 146(1), 59–73, (2008), Kejriwal and Perron J Bus Econ Stat, 28(4), 503–522, (2010a), and Maki Econ Model, 29(5), 2011–2015, (2012) that allow for the presence of structural shifts, are employed. The papers’ findings reveal that the level of real per capita income and the level of educational attainment are the factors that affect the level of life expectancy most. Other factors such as the level of real health expenditure per capita and any measure of income inequality, although important, were found to be highly collinear with real per capita income. The policy implications of the results of the paper are discussed.

Original languageEnglish (US)
Pages (from-to)1-18
Number of pages18
JournalJournal of Economics and Finance
DOIs
StateAccepted/In press - Jul 4 2017

Fingerprint

Structural breaks
Cointegration test
Life expectancy
Factors
Per capita income
Bus
Educational attainment
Politicians
Health
Structural shift
Policy implications
Unit root testing
Income inequality
Cointegration analysis
Economists
Health expenditures

All Science Journal Classification (ASJC) codes

  • Finance
  • Economics and Econometrics

Cite this

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abstract = "In the United States, health economists, experts in population studies, and policy makers seek to understand the important factors that augment life expectancy. This paper attempts to identify empirically effects of some major determinants on life expectancy in the United States during the period 1960–2012. Recently developed powerful methods of unit root testing and cointegration analysis, Carrion-i-Silvestre et al. Economet Theor, 25, 1754–1792, (2009), Perron and Yabu J Bus Econ Stat, 27, 369–96, (2009), Kejriwal and Perron J Econ, 146(1), 59–73, (2008), Kejriwal and Perron J Bus Econ Stat, 28(4), 503–522, (2010a), and Maki Econ Model, 29(5), 2011–2015, (2012) that allow for the presence of structural shifts, are employed. The papers’ findings reveal that the level of real per capita income and the level of educational attainment are the factors that affect the level of life expectancy most. Other factors such as the level of real health expenditure per capita and any measure of income inequality, although important, were found to be highly collinear with real per capita income. The policy implications of the results of the paper are discussed.",
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