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Showing 1 to 6 of 6 for “"Generalized Least Square"”.
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Essays on Semi-parametric Bayesian Econometric Methods
… Weeks introduces a new semi-parametric Bayesian Generalized Least Square estimator, which employs the Dirichlet Process prior to cope with potential heterogeneity in the error distributions. Two methods are discussed as special cases of the GLS estimator, the Seemingly Unrelated Regression for …
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Domestic Influences for Interstate Cooperation: Do Domestic Conditions Affect the Occurrence of Cooperative Events in Democratic Regimes?
… factors in panel data was tested with Feasible Generalized Least Square (FGLS) in order to take care of heteroscedasticity and autocorrelations in residuals. The individual case analysis used linear time series analysis.
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Human population growth and the environment: the Africa perspective
… We estimated fixed effects, random effects, Generalized Least Square/Feasible Generalized Least Square and Panel-Corrected Standard Errors. Our findings suggest the average effect of population growth on CO2 emissions when the population growth change across time and between countries in low …
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Are the capital structures of JSE listed companies influenced by equity market timing?
… method of moments (GMM). For robustness, a Generalized Least Square regression (GLS) was also conducted for robustness as well as descriptive statistics and the discussion of the results thereof. Findings The results show evidence for both the pecking order theory and trade-off theory. More …
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The relationship between corporate governance practices and cost of capital in large listed companies of New Zealand and Singapore
… which they operate. Because of causality test, Generalized Least Square method in pooled data estimations to explore the role of corporate governance variables on cost of capital. Careful diagnostic testing is under taken related to multicollinearity, endogeneity and heteroskedasticity employed …
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Investigating the significance of reputational risk In banks' financial performance
… loss event. This was conducted using the Generalized Least Square (GLS) Random Effects model. The rigorous application of multicollinearity, heteroskedasticity, and autocorrelation tests ensures the validity of the random effects model employed. Additionally, the study utilized the Boehmer …