TY - JOUR
T1 - How did national life expectation related to school years in developing countries-An approach using panel data mining
AU - Jian, Wen Shan
AU - Huang, Chen Ling
AU - Iqbal, Usman
AU - Nguyen, Phung Anh
AU - Hsiao, George
AU - Li, Hsien Chang
PY - 2014/3
Y1 - 2014/3
N2 - Background: The purpose of the study was to probe into the changes in life expectancy associated with schooling years found by the Organization for Economic Co-operation and Development (OECD). Methods: The study was based on the OECD database from the period 2000 to 2006. The data of thirty countries were constructed to allow comparisons over time and across these countries. Panel data analysis was used to estimate the relationship of national education, as defined as school years, with life expectancy. The control factors considered were numbers of practicing physicians, practicing nurses, hospital beds, and GDP. Results: We used fixed effects of both country and time through linear regression, the coefficient of school years in relation to life expectancy was statistically significant but negative. This finding is not in accord with the hypothesis that investing in human capital through education stimulates better health outcomes. Conclusion: Within developing countries, educational attainment is no longer keeping the same pace with life expectancy as before. Therefore, we suggest that an effective education policy should cover diverse topics, for example, balancing economic growth and mental hygiene, to improve national life expectancy.
AB - Background: The purpose of the study was to probe into the changes in life expectancy associated with schooling years found by the Organization for Economic Co-operation and Development (OECD). Methods: The study was based on the OECD database from the period 2000 to 2006. The data of thirty countries were constructed to allow comparisons over time and across these countries. Panel data analysis was used to estimate the relationship of national education, as defined as school years, with life expectancy. The control factors considered were numbers of practicing physicians, practicing nurses, hospital beds, and GDP. Results: We used fixed effects of both country and time through linear regression, the coefficient of school years in relation to life expectancy was statistically significant but negative. This finding is not in accord with the hypothesis that investing in human capital through education stimulates better health outcomes. Conclusion: Within developing countries, educational attainment is no longer keeping the same pace with life expectancy as before. Therefore, we suggest that an effective education policy should cover diverse topics, for example, balancing economic growth and mental hygiene, to improve national life expectancy.
KW - Education
KW - Life expectancy
KW - OECD
KW - Panel data analysis
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U2 - 10.1016/j.cmpb.2013.11.016
DO - 10.1016/j.cmpb.2013.11.016
M3 - Article
C2 - 24444750
AN - SCOPUS:84894244333
SN - 0169-2607
VL - 113
SP - 914
EP - 918
JO - Computer Methods and Programs in Biomedicine
JF - Computer Methods and Programs in Biomedicine
IS - 3
ER -