2022
DOI: 10.1016/j.ecosta.2021.07.001
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Bias-corrected method of moments estimators for dynamic panel data models

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Cited by 43 publications
(50 citation statements)
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References 28 publications
(41 reference statements)
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“…In light of this, Breitung et al (2022) propose a bias-corrected estimator obtained as a method of moments estimator. This estimator does not require specific assumptions about the initial values of the dynamic process, nor must the researcher choose a preliminary estimator.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In light of this, Breitung et al (2022) propose a bias-corrected estimator obtained as a method of moments estimator. This estimator does not require specific assumptions about the initial values of the dynamic process, nor must the researcher choose a preliminary estimator.…”
Section: Methodsmentioning
confidence: 99%
“…We employ the bias-corrected fixed effect estimator proposed byBreitung et al (2022). Cluster-robust standard errors are used (clusters: number of municipalities).…”
mentioning
confidence: 99%
“…The second merit of this technique is that formula of the asymptotic variancecovariance matrix for the calculation of standard errors is readily available, unlike the biascorrected estimator by Kiviet (1995) that depends on the command developed by Bruno (2005). In this study, the Kiviet bias-corrected method and the dynamic panel bias-corrected technique of Breitung et al (2021) were adopted to deal with the FE model's small sample bias and Nickell bias. Finally, this study employed the bootstrap-based bias correction for FE.…”
Section: Bepam 131mentioning
confidence: 99%
“…Even those studies that adopted panel data models, such asAlshubiri et al (2019), did not account for bias correction to FE. Conversely, bias correction methods have been applied, particularly the recent DPB correction technique introduced byBreitung et al (2021). A conclusion-based on the outputs of these techniques is made.…”
mentioning
confidence: 99%
“…In each case, the estimator remains significant at least at the 10-percent level. Appendix B.2.2 applies the dynamic panel error correction model developed by Breitung et al (2021) to correct for the bias in this type of model (Nickell, 1981). Estimations follow from models controlling for either one lag (Columns B.2.2.1 to B.2.2.3) or two lags of the dependent variable (Columns B.2.2.4 to B.2.2.6) and alternately use the log transformation of the incidence of violence or its inverse hyperbolic sine transformation as the dependent variable.…”
Section: A Appendix -Parallel Trends: Additional Evidencementioning
confidence: 99%