2021
DOI: 10.1016/j.econmod.2020.12.011
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New nonlinear estimators of the gravity equation

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Cited by 13 publications
(8 citation statements)
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References 35 publications
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“…Our results reveal that a 1% increase in the distance reduces trade flow, from −0.43%, −0.54% to −0.11%. These results are consistent with the existing literature on the gravity model analysis (Mnasri and Nechi, 2021; Frede and Yetkiner, 2017).…”
Section: Estimation and Interpretation Of Resultssupporting
confidence: 93%
“…Our results reveal that a 1% increase in the distance reduces trade flow, from −0.43%, −0.54% to −0.11%. These results are consistent with the existing literature on the gravity model analysis (Mnasri and Nechi, 2021; Frede and Yetkiner, 2017).…”
Section: Estimation and Interpretation Of Resultssupporting
confidence: 93%
“…The prevalence of zero-trade values and the presence of heteroscedasticity have raised many questions about the estimation methods of the gravity model. According to the simulation results from a new study, PPML yields very good results only when there is no censoring and when error terms are log-normally distributed (Mnasri & Nechi, 2021). Empirical results show that previous studies have overestimated the contribution of variables such as importer's income, distance, remoteness, trade agreements and openness.…”
Section: Lwesya (2018) Determinants Of Leather and Leather Products Exports In Tanzaniamentioning
confidence: 90%
“…Nevertheless, some estimation practices have been subject to criticism, namely how zero-trade values and heteroscedasticity are handled in the literature. Mnasri and Nechi (2021) have proposed a new non-linear Heckman two-step (Heckman_2stp) estimator that corrects for the selection bias and avoids Jensen' simulations to assess the performance of our proposed estimators and to compare them with the other popular non-linear estimators, namely the nonlinear least squares (NLS) and PPML. These new estimation techniques and models could be applied in the study of leather trade in the future.…”
Section: Conclusion Implications and Future Researchmentioning
confidence: 99%
“…In our setting, not restricting the data to only positive values of bilateral migration avoids selection bias issues derived from accounting for only positive migration inflows. In addition, using the dependent variable in levels in the PPML model also prevents potential biases concerning Jensen's Inequality, which might hinder the interpretability of the results when the expected value of the logarithm is not equal to the logarithm of the expected value, as described by Mnasri and Nechi (2021). However, our model specification differs from the previous studies in several ways.…”
Section: Model Specificationmentioning
confidence: 99%