Trade_data: Determinants of International Trade in the European Union
In rmsBMA: Reduced Model Space Bayesian Model Averaging

Trade_data

R Documentation

Determinants of International Trade in the European Union

Description

The dataset contains bilateral trade and its economic determinants for 26 European Union countries over the period 1995–2015. Each observation represents a country pair, resulting in 325 unique trading pairs.

The countries included are: Austria, Belgium, Bulgaria, Cyprus, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, the Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, and the United Kingdom.

The dataset was used in: Beck (2020), What drives international trade? Robust analysis for the European Union, Journal of International Studies, 13(3), 68–84.

Usage

data(Trade_data)

Format

A data frame with 325 rows and 18 variables:

LNTRADE: Natural logarithm of bilateral trade between two countries.
B: Border dummy (1 if countries share a common border; 0 otherwise).
LNDGEO: Natural logarithm of the shortest distance between capital cities.
L: Common language dummy (1 if countries share at least one official language; 0 otherwise).
LNRGDPPROD: Natural logarithm of the product of real GDPs of the two countries.
RGDPpcDIFF: Absolute difference in real GDP per capita.
GOV: Absolute difference in government expenditure shares of GDP.
HUMAN: Absolute difference in human capital indicators.
CPW: Absolute difference in capital per worker.
INFVAR: Absolute difference in the standard deviation of inflation rates.
ARABLE: Absolute difference in arable land.
ARABLEpw: Absolute difference in arable land per worker.
LAND: Absolute difference in total land area.
LANDpc: Absolute difference in land area per capita.
EPCpc: Absolute difference in electricity consumption per capita.
FDI: Absolute difference in foreign direct investment flows.
KSI: Krugman specialization index (value added, 35 sectors).
BCIDIFF: Absolute difference in the Bayesian Corruption Index.