2023
DOI: 10.1016/j.heliyon.2023.e21084
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The impact of financial development, health expenditure, CO2 emissions, institutional quality, and energy Mix on life expectancy in Eastern Europe: CS-ARDL and quantile regression Approaches

Elvira Nica,
Adela Poliakova,
Gheorghe H. Popescu
et al.
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Cited by 13 publications
(4 citation statements)
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“…Co-integration analysis was conducted because it is inappropriate to estimate the elasticities of the predictors if the investigated series does not possess a co-integration association. Hence, the Westerlund and Edgerton (2007) test was engaged to examine the co-integration characteristics of the variables in line with the study by Nica et al (2023). This test was engaged because it is robust to CD and heterogeneity in panel units.…”
Section: Analytical Proceduresmentioning
confidence: 99%
“…Co-integration analysis was conducted because it is inappropriate to estimate the elasticities of the predictors if the investigated series does not possess a co-integration association. Hence, the Westerlund and Edgerton (2007) test was engaged to examine the co-integration characteristics of the variables in line with the study by Nica et al (2023). This test was engaged because it is robust to CD and heterogeneity in panel units.…”
Section: Analytical Proceduresmentioning
confidence: 99%
“…Therefore, taking into account these main findings, it is necessary to recommend a series of policy measures related to people's well-being in selected national contexts. Nica, Poliakova, Popescu, Valaskova, Burcea, and Constantin (2023) described the impact of financial development, institutional quality and CO2 emission on life expectancy for the period of 1990 to 2021. This study examined the association between financial development, institutional quality, CO2, and life expectancy using quintile regression and ARDL.…”
Section: Literature Reviewmentioning
confidence: 99%
“…For the purpose of our analysis, all used variables are transformed into their natural logarithm forms. The issue of nonlinearity, heteroscedasticity, outlier, and skewness in the data can be dealt by transforming into log (Nica et al 2023). There were instances where we had negative values for adjusted net savings and foreign direct investment.…”
Section: Datamentioning
confidence: 99%