Panel Data Econometrics 2019
DOI: 10.1016/b978-0-12-815859-3.00021-4
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Application of Panel Data Models for Empirical Economic Analysis

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Cited by 7 publications
(6 citation statements)
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“…Research conducted with the use of dynamic panel models concerns determining the determinants of economic growth (e.g., the Solow-Swan model) or estimating models based on the production function (Cobb-Douglas). Therefore, to assess the relationship between the studied factors, dynamic panel data models were used -econometric models estimated on the basis of panel data, where it is assumed that the dependent variable is affected, in addition to the explanatory variables, by lagged levels of the dependent variable and immeasurable constants over time and object-specific factors known as group effects [Bhattarai 2019].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Research conducted with the use of dynamic panel models concerns determining the determinants of economic growth (e.g., the Solow-Swan model) or estimating models based on the production function (Cobb-Douglas). Therefore, to assess the relationship between the studied factors, dynamic panel data models were used -econometric models estimated on the basis of panel data, where it is assumed that the dependent variable is affected, in addition to the explanatory variables, by lagged levels of the dependent variable and immeasurable constants over time and object-specific factors known as group effects [Bhattarai 2019].…”
Section: Methodsmentioning
confidence: 99%
“…The estimation of dynamic models was carried out using the Generalized Method of Moments (GMM), which allows the estimation of model parameters directly from the conditions of the moments. In the literature on the subject, it is assumed that both the form and the number of moment conditions used during estimation depend on the assumptions made regarding the level of correlation between the variables and the components [Bhattarai 2019]. Assuming no autocorrelation of the random term, in the process of estimating the parameters of the models, the assumption of strict exogeneity of the variables can be made, which excludes a correlation with current values, with lagging values, as well as with future values.…”
Section: Methodsmentioning
confidence: 99%
“…The stationarity testing technique may be used to analyze convergence as well [99,118,119]. This study will include panel unit root testing, among other methods: Levin, Lin and Chu (LLC, common root) [120], ADF-Fisher Chi-square, and PP-Fisher Chi-square (individual root) [121].…”
Section: Methodsmentioning
confidence: 99%
“…Panel Unit-Root Test. The standard panel unit root techniques, such as the Breitung (2000), Levin et al (2002), Im et al (2003), Maddala and Wu (1999) tests, may yield misleading results in the presence of cross-sectional dependence (Bhattarai, 2021;Osabuohien-Irabor & Drapkin, 2022a;Tugcu, 2018). To get more efficient technique to address this issue, Pesaran (2007) combined both the Augmented Dickey-Fuller and IPS tests to examine panel stationarity under cross-sectional dependence.…”
Section: Estimation Strategymentioning
confidence: 99%