The impact of Thailand's openness on bilateral trade between Thailand and Japan: Copula-based markov switching seemingly unrelated regression model

© 2020 by the authors. The purpose of this paper is to analyze the impact of trade openness and the factors based on the gravity model on the bilateral trade flows between Thailand and Japan. The factors consist of GDP, distance, trade openness, and exchange rate. Bilateral trade is composed of two...

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Main Authors: Pathairat Pastpipatkul, Petchaluck Boonyakunakorn, Kanyaphon Phetsakda
Format: Journal
Published: 2020
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/68363
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-683632020-04-02T15:30:32Z The impact of Thailand's openness on bilateral trade between Thailand and Japan: Copula-based markov switching seemingly unrelated regression model Pathairat Pastpipatkul Petchaluck Boonyakunakorn Kanyaphon Phetsakda Economics, Econometrics and Finance Social Sciences © 2020 by the authors. The purpose of this paper is to analyze the impact of trade openness and the factors based on the gravity model on the bilateral trade flows between Thailand and Japan. The factors consist of GDP, distance, trade openness, and exchange rate. Bilateral trade is composed of two flows: Thailand's export flow to Japan, and Thailand's import flow from Japan. The specified gravity equations are estimated by Copula-based Markov switching seemingly unrelated regression approach. The best-fitting model is chosen based on the lowest Akaike information criterion (AIC) and Bayesian information criterion (BIC). The Normal and Student's t distributions are for Thailand's export equation and Thailand's import equation, respectively. The Student's t copula is applied for joint distribution. Analyzing the bilateral trade flow is separated into two situations, namely the high and the low growth markets. Empirical results show that distance provides a positive effect on the export in a high growth regime, but a negative impact on the export in a low growth regime. As for Thailand's import flow, all variables, but especially trade openness, provide strong evidence supporting significance for both regimes. For the GDPs of both Thailand and Japan, trade openness and the exchange rate increase import flow in a high growth market. Meanwhile, the exchange rate decreases import flow in a low growth market. The Markov Switching Probability Estimation notes that Thailand's trading with Japan is mostly in the fast-growing market. 2020-04-02T15:25:35Z 2020-04-02T15:25:35Z 2020-01-01 Journal 22277099 2-s2.0-85081690218 10.3390/economies8010009 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85081690218&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/68363
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Economics, Econometrics and Finance
Social Sciences
spellingShingle Economics, Econometrics and Finance
Social Sciences
Pathairat Pastpipatkul
Petchaluck Boonyakunakorn
Kanyaphon Phetsakda
The impact of Thailand's openness on bilateral trade between Thailand and Japan: Copula-based markov switching seemingly unrelated regression model
description © 2020 by the authors. The purpose of this paper is to analyze the impact of trade openness and the factors based on the gravity model on the bilateral trade flows between Thailand and Japan. The factors consist of GDP, distance, trade openness, and exchange rate. Bilateral trade is composed of two flows: Thailand's export flow to Japan, and Thailand's import flow from Japan. The specified gravity equations are estimated by Copula-based Markov switching seemingly unrelated regression approach. The best-fitting model is chosen based on the lowest Akaike information criterion (AIC) and Bayesian information criterion (BIC). The Normal and Student's t distributions are for Thailand's export equation and Thailand's import equation, respectively. The Student's t copula is applied for joint distribution. Analyzing the bilateral trade flow is separated into two situations, namely the high and the low growth markets. Empirical results show that distance provides a positive effect on the export in a high growth regime, but a negative impact on the export in a low growth regime. As for Thailand's import flow, all variables, but especially trade openness, provide strong evidence supporting significance for both regimes. For the GDPs of both Thailand and Japan, trade openness and the exchange rate increase import flow in a high growth market. Meanwhile, the exchange rate decreases import flow in a low growth market. The Markov Switching Probability Estimation notes that Thailand's trading with Japan is mostly in the fast-growing market.
format Journal
author Pathairat Pastpipatkul
Petchaluck Boonyakunakorn
Kanyaphon Phetsakda
author_facet Pathairat Pastpipatkul
Petchaluck Boonyakunakorn
Kanyaphon Phetsakda
author_sort Pathairat Pastpipatkul
title The impact of Thailand's openness on bilateral trade between Thailand and Japan: Copula-based markov switching seemingly unrelated regression model
title_short The impact of Thailand's openness on bilateral trade between Thailand and Japan: Copula-based markov switching seemingly unrelated regression model
title_full The impact of Thailand's openness on bilateral trade between Thailand and Japan: Copula-based markov switching seemingly unrelated regression model
title_fullStr The impact of Thailand's openness on bilateral trade between Thailand and Japan: Copula-based markov switching seemingly unrelated regression model
title_full_unstemmed The impact of Thailand's openness on bilateral trade between Thailand and Japan: Copula-based markov switching seemingly unrelated regression model
title_sort impact of thailand's openness on bilateral trade between thailand and japan: copula-based markov switching seemingly unrelated regression model
publishDate 2020
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85081690218&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/68363
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