2018
DOI: 10.15446/rce.v41n1.61885
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Estimating dynamic Panel data. A practical approach to perform long panels.

Abstract: Panel data methodology is one of the most popular tools for quantitative analysis in the eld of social sciences, particularly on topics related to economics and business. This technique allows simultaneously addressing individual eects, numerous periods, and in turn, the endogeneity of the model or independent regressors. Despite these advantages, there are several methodological and practical limitations to perform estimations using this tool. There are two types of models that can be estimated with Panel dat… Show more

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Cited by 96 publications
(37 citation statements)
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“…Endogeneity may result from measurement errors, simultaneity, or omitted variables. In this case, regression using ordinary least squares (OLS) is not adequate and other models must be employed to correct it (Labra & Torrecillas, 2014). Based on previous studies, some authors have argued that endogeneity is a typical problem in panel models that should be corrected (Espinosa et al, 2012;Margaritis & Psillaki, 2010;Phuong & Bich, 2017;Rajan & Zingales, 1995).…”
Section: Sample Variables and Data Collectionmentioning
confidence: 99%
“…Endogeneity may result from measurement errors, simultaneity, or omitted variables. In this case, regression using ordinary least squares (OLS) is not adequate and other models must be employed to correct it (Labra & Torrecillas, 2014). Based on previous studies, some authors have argued that endogeneity is a typical problem in panel models that should be corrected (Espinosa et al, 2012;Margaritis & Psillaki, 2010;Phuong & Bich, 2017;Rajan & Zingales, 1995).…”
Section: Sample Variables and Data Collectionmentioning
confidence: 99%
“…Further, the Difference GMM have choice to do analysis through two options i.e., One step GMM and Two step GMM, depending on the homoscedasticity or hetrocedasticity of the weighting matrix. Academic Literature reveals that two step GMM method is more effective with use of hetrocedastic weighting matrix in the analysis (Labra and Torrecillas 2018). Another issue related with dynamic panel model is the presence of over-identification problem that can be effectively checked by Sargan & Hansen tests.…”
Section: Empirical Methods and Modelmentioning
confidence: 99%
“…The empirical results in Columns 7, 8, and 9 in Table 5 align with the basic models and previous empirical findings. To identify the exogenous instrumental variables, we performed the Sargan-Hansen overidentifying restriction test, following Labra and Torrecillas [50], who state that the p-value of Hansen's J between 0.05 and 0.80 means the test's asymptotic properties have been applied. The Hanson's J p-value for overall foreign institutional ownership, foreign institutional pressure-resistant, and foreign institutional pressure-sensitive investors is 0.33, 0.19, and 0.48, respectively, indicating the validity of instruments and the consistency of estimates.…”
Section: Robustness Checkmentioning
confidence: 99%