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Alternative measures of internal distance in estimating home bias in trade

The case of Croatia

Bibliographic Data

ID15067908
AuthorsHrvoje Jošić (0000-0002-7869-3017, University of Zagreb, corresponding author), Mislav Jošić (Croatian Financial Services Supervisory Agency (HANFA), Sesvete, Croatia)
Year2016
Volume29
Issue1
Pages380-394
Publication date2016-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEconomic Research-Ekonomska Istraživanja (JOURNAL)
Journal identifiersISSN: 1331-677X • E-ISSN: 1848-9664
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1331677x.2016.1169702
OpenAlexW2353451219
LanguageEN
Citations received2
References cited22

The existence of home bias in trade is considered as one of six main puzzles in international economics. The measurement of the average intra-national distance has become the crucial issue in estimating the home bias in goods trade for countries with no internal trade data. The aim of this article is to demonstrate how different internal distance measurement affects home bias in trade. The results of the analysis indicate that sub-unit based weighted measures perform better in the assessment of Croatia’s internal distance than area based and measures based on relation to neighbour countries. In estimating the model, we use data on import values for Croatia according to standard gravity theory. Regression analysis corroborates theoretical assumptions regarding the impact of geographical distance of countries and transport costs on bilateral trade flows; imports from world are positively correlated with the GDP of imported countries and negatively correlated with the distance between them. The values of home bias variable for Croatia’s total imports were slightly higher than results obtained from previous explorations for EU countries meaning that there is still place for Croatia’s deeper integration into EU trade flows

Bilateral trade · Demographic economics · Econometrics · Economics · Geographical distance · Geography · Gravity equation · Gravity model of trade · International economics · International trade · Omitted-variable bias · Demography · Economic Growth and Productivity · Economic Policies and Impacts · Global trade and economics · Mathematics

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Unique citing works2
Citations per year0,33
Citation span2020 - 2022 (3)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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