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 language | English (US) |
|---|---|
| Pages (from-to) | 1-18 |
| Number of pages | 18 |
| Journal | Journal of Economics and Finance |
| DOIs | |
| State | Accepted/In press - Jul 4 2017 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Finance
- Economics and Econometrics
Cite this
Some determinants of life expectancy in the United States : results from cointegration tests under structural breaks. / Ketenci, Natalya; Murthy, Vasudeva N. R.
In: Journal of Economics and Finance, 04.07.2017, p. 1-18.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Some determinants of life expectancy in the United States
T2 - results from cointegration tests under structural breaks
AU - Ketenci, Natalya
AU - Murthy, Vasudeva N. R.
PY - 2017/7/4
Y1 - 2017/7/4
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85021794690&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85021794690&partnerID=8YFLogxK
U2 - 10.1007/s12197-017-9401-2
DO - 10.1007/s12197-017-9401-2
M3 - Article
SP - 1
EP - 18
JO - Journal of Economics and Finance
JF - Journal of Economics and Finance
SN - 1055-0925
ER -