Augmented Gravity Model of International Trade: An Empirical Application to Poland's Trade Flows

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F15%3A%230003792" target="_blank" >RIV/47813059:19520/15:#0003792 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Augmented Gravity Model of International Trade: An Empirical Application to Poland's Trade Flows
Original language description
This paper applies the gravity model to Poland´s international trade with aim to assess the impact of exchange rate uncertainty of Polish zloty on the trade flows with its main trading partners. Basic gravity model shows trade volume between a pair of countries as an increasing function of their sizes (GDP) and a decreasing function of the distance between them. Additional factors included in extended model are population, common border and exchange rate volatility. The measure of exchange rate volatility is estimated by GARCH model. The analysis is provided by using quarterly data over the period 1999:1 - 2014:3. Analysis uses panel data regression for 10 sectors of Poland´s international trade based on SITC classification and six major trading partners (Czech Republic, Germany, France, Great Britain, Italy and Slovakia). The significant parameters obtained from panel regression demonstrate that bilateral exchange rate volatility leads to a decrease in Poland´s total trade. The same d
Czech name
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Czech description
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
European Financial Systems 2015. Proceedings of the 12th International Scientific Conference
ISBN
978-80-210-7962-5
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
611-617
Publisher name
Masaryk University
Place of publication
Brno
Event location
Brno
Event date
Jun 18, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000370679200080

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