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المؤلفAyman, Mnasri
المؤلفNechi, Salem
تاريخ الإتاحة2023-02-20T09:11:13Z
تاريخ النشر2020-12-13
اسم المنشورEconomic Modelling
المعرّفhttp://dx.doi.org/10.1016/j.econmod.2020.12.011
الاقتباسMnasri, A., & Nechi, S. (2021). New nonlinear estimators of the gravity equation. Economic Modelling, 95, 192-202.
الرقم المعياري الدولي للكتاب0264-9993
معرّف المصادر الموحدhttps://www.sciencedirect.com/science/article/pii/S0264999320312761
معرّف المصادر الموحدhttp://hdl.handle.net/10576/40171
الملخصThe gravity model of international trade is often applied by economists to explain bilateral trade between countries. Nevertheless, some estimation practices have been subject to criticism, namely how zero trade values and the heteroskedasticity are handled. This paper proposes new nonlinear estimation techniques to address these issues. In particular, we propose standard and generalized versions of the nonlinear Heckman two-step approach that do not require the log-linearization of the gravity equation and corrects for non-random selection bias, and a generalized nonlinear least squares estimator that can be viewed as an iterative version of the normal family Quasi-Generalized Pseudo-Maximum-Likelihood estimator. Monte Carlo simulations show that our proposed estimators outperform existent linear and nonlinear estimators and are very efficient in correcting the selection bias and reducing the standard deviation of the estimates. Empirical results show that previous studies have overestimated the contribution of variables such as importer’s income, distance, remoteness, trade agreements, and openness.
اللغةen
الناشرElsevier
الموضوعGravity model
Heteroscedasticity
Structural zeros
Generalized Heckman two-step
Generalized nonlinear least squares
PPML
العنوانNew nonlinear estimators of the gravity equation
النوعArticle
الصفحات192-202
رقم المجلد95
Open Access user License http://creativecommons.org/licenses/by/4.0/
dc.accessType Open Access


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