New nonlinear estimators of the gravity equation

The 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 estimat...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ayman, Mnasri (author)
مؤلفون آخرون: Nechi, Salem (author)
التنسيق: article
منشور في: 2020
الموضوعات:
الوصول للمادة أونلاين:http://dx.doi.org/10.1016/j.econmod.2020.12.011
https://www.sciencedirect.com/science/article/pii/S0264999320312761
http://hdl.handle.net/10576/40171
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author Ayman, Mnasri
author2 Nechi, Salem
author2_role author
author_facet Ayman, Mnasri
Nechi, Salem
author_role author
dc.creator.none.fl_str_mv Ayman, Mnasri
Nechi, Salem
dc.date.none.fl_str_mv 2020-12-13
2023-02-20T09:11:13Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://dx.doi.org/10.1016/j.econmod.2020.12.011
Mnasri, A., & Nechi, S. (2021). New nonlinear estimators of the gravity equation. Economic Modelling, 95, 192-202.
0264-9993
https://www.sciencedirect.com/science/article/pii/S0264999320312761
http://hdl.handle.net/10576/40171
192-202
95
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv Elsevier
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Gravity model
Heteroscedasticity
Structural zeros
Generalized Heckman two-step
Generalized nonlinear least squares
PPML
dc.title.none.fl_str_mv New nonlinear estimators of the gravity equation
dc.type.none.fl_str_mv Article
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description The 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.
eu_rights_str_mv openAccess
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id qu_56634d46d4180dc05fc9c8c1bb2ef788
identifier_str_mv Mnasri, A., & Nechi, S. (2021). New nonlinear estimators of the gravity equation. Economic Modelling, 95, 192-202.
0264-9993
192-202
95
language_invalid_str_mv en
network_acronym_str qu
network_name_str Qatar University repository
oai_identifier_str oai:qspace.qu.edu.qa:10576/40171
publishDate 2020
publisher.none.fl_str_mv Elsevier
repository.mail.fl_str_mv
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rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
spelling New nonlinear estimators of the gravity equationAyman, MnasriNechi, SalemGravity modelHeteroscedasticityStructural zerosGeneralized Heckman two-stepGeneralized nonlinear least squaresPPMLThe 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.Elsevier2023-02-20T09:11:13Z2020-12-13Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1016/j.econmod.2020.12.011Mnasri, A., & Nechi, S. (2021). New nonlinear estimators of the gravity equation. Economic Modelling, 95, 192-202.0264-9993https://www.sciencedirect.com/science/article/pii/S0264999320312761http://hdl.handle.net/10576/40171192-20295enhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:qspace.qu.edu.qa:10576/401712024-07-23T13:52:31Z
spellingShingle New nonlinear estimators of the gravity equation
Ayman, Mnasri
Gravity model
Heteroscedasticity
Structural zeros
Generalized Heckman two-step
Generalized nonlinear least squares
PPML
status_str publishedVersion
title New nonlinear estimators of the gravity equation
title_full New nonlinear estimators of the gravity equation
title_fullStr New nonlinear estimators of the gravity equation
title_full_unstemmed New nonlinear estimators of the gravity equation
title_short New nonlinear estimators of the gravity equation
title_sort New nonlinear estimators of the gravity equation
topic Gravity model
Heteroscedasticity
Structural zeros
Generalized Heckman two-step
Generalized nonlinear least squares
PPML
url http://dx.doi.org/10.1016/j.econmod.2020.12.011
https://www.sciencedirect.com/science/article/pii/S0264999320312761
http://hdl.handle.net/10576/40171