2019
DOI: 10.1080/1331677x.2019.1685397
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Stochastic analysis of the economic growth of OECD countries

Abstract: This study examined the determinants of economic development for the 34 member countries of the Organization for Economic Cooperation and Development (OECD) and analysed efficient uses of economic development resource endowments. The methodology included econometric panel data modelling and stochastic frontier analysis, using the Cobb-Douglas production function and trans-logarithmic functional form to analyse data from 2003 to 2012. Economic growth was measured by the gross domestic product (GDP) of each econ… Show more

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Cited by 25 publications
(14 citation statements)
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“…Maximum likelihood (ML) and generalized least squares (GLS) estimators are compared with the ordinary least squares (OLS) estimator in terms of robustness [ 45 ]. If the form of the heteroscedasticity is correctly specified, then the ML and GLS estimators are more efficient statistically than the OLS estimator.…”
Section: Modeling and Methodologymentioning
confidence: 99%
“…Maximum likelihood (ML) and generalized least squares (GLS) estimators are compared with the ordinary least squares (OLS) estimator in terms of robustness [ 45 ]. If the form of the heteroscedasticity is correctly specified, then the ML and GLS estimators are more efficient statistically than the OLS estimator.…”
Section: Modeling and Methodologymentioning
confidence: 99%
“…In other ways, the study integrates communes from the northern, central and southern macro-zones of the national territory. A cross-sectional econometric regression model was developed to explain and predict the effect over the municipal efficiency measured by Quality of Life Index (QLI) [33][34][35][36]. This is validated by the assumptions of the residual before proceeding with the second objective, which is the estimation and interpretation of results [36,37].…”
Section: Methodsmentioning
confidence: 99%
“…This very model had been used in a study of economic growth in OECD countries. [7]. In equation 1the inefficiency component (u it ) of the error term is the log difference between the maximum and the actual output, therefore u it is the percentage by which actual output can be increased using the same input if production is fully efficient (Kumbhakar and Wang, 2015).…”
Section: Stochastic Frontier Analysis With Gdpcu and Gdpcon Covariancesmentioning
confidence: 99%
“…The Impact of GDP on Cross-Country Efficiency in Wealth Maximization: a Joint… 103 Relevant literature shows that the determinants of economic development were presented and a ranking of efficiency was obtained for all OECD economies throughout the period of analysis [7]. A higher level of market dynamics increases productivity, while firm size and market concentration seem to decrease industry productivity [8].…”
Section: Introductionmentioning
confidence: 99%