2010
DOI: 10.1007/s00362-010-0315-8
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Greene, W. H., Econometric analysis

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Cited by 18 publications
(13 citation statements)
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“…Because this endogenous variable (FI and FD) are associated with other variables that were not included in this model and disturbance term is correlated with the endogenous variables as well as violating the assumptions of OLS. Mainly, the explanatory variable (financial inclusion) are the dependent variable of other Equation () in the system, and the error term is expected to be correlated (Davidson & MacKinnon, 1993; Green, 2012.…”
Section: Resultsmentioning
confidence: 99%
“…Because this endogenous variable (FI and FD) are associated with other variables that were not included in this model and disturbance term is correlated with the endogenous variables as well as violating the assumptions of OLS. Mainly, the explanatory variable (financial inclusion) are the dependent variable of other Equation () in the system, and the error term is expected to be correlated (Davidson & MacKinnon, 1993; Green, 2012.…”
Section: Resultsmentioning
confidence: 99%
“…Since FDI requires a long time to show its impact on host economies, attention was paid to the long-term relationship of variables, so the standard model was based on the results of the diagnostic tests as follows: In order to examine the long-term relationship between the variables, the paper employed panel data regression models in this study and considered various assumptions about the intercept, the slope coefficients, and the error term. This procedure requires selecting between Fixed Effects Model (FEM), Random Effects Model (REM) and Common Effects Model (pooled regression) [30]. For selecting between these three models, we used Redundant Fixed Effects test and Hausman test; where Redundant Fixed Effects test to choose between Common Effects Model and Fixed Effects Model [31], and Hausman test to choose between Fixed Effects Model and Random Effects Model [32].…”
Section: -Research Methodologymentioning
confidence: 99%
“…Since we have added a quadratic term of AID into our model, we used appropriate U‐test, Delta and Fieller methods to establish the reliability and stability of the polynomial function of aid following Lind and Mehlum (2010), Greene ( eds .) (2008), and Hill et al ( eds .) (2011).…”
Section: Methodsmentioning
confidence: 99%