Table 1 List of the variables used for causal inference: from \(X_0\) to \(X_{11}\) are network variables, from \(X_{12}\) to \(X_{24}\) are economic, historical and geographical background variables
From: Reshaping the structure of the World Trade Network: a pivotal role for China?
Code | Label | Description |
|---|---|---|
\(X_0,X_1\) | \(C_{Di},C_{Dj}\) | Degree centrality of countries i, j |
\(X_2,X_3\) | \(C_{Pi},C_{Pj}\) | PageRank centrality of countries i, j |
\(X_4,X_5\) | \(C_{Ti},C_{Tj}\) | Clustering coefficient of countries i, j |
\(X_6,X_7\) | \(C_{C1i},C_{C1j}\) | (binary) 1 if country i, j belongs to Community 1 |
\(X_8,X_9\) | \(C_{C2i},C_{C2j}\) | (binary) 1 if country i, j belongs to Community 2 |
\(X_{10},X_{11}\) | \(C_{C3i},C_{C3j}\) | (binary) 1 if country i, j belongs to Community 3 |
\(X_{12}\) | lgdp | Log product of real GDPs of countries i, j |
\(X_{13}\) | lgdppc | Log product of real GDPs per capita of countries i, j |
\(X_{14}\) | ldist | Log of distance of countries i, j |
\(X_{15}\) | border | (binary) 1 if i, j share a land border |
\(X_{16}\) | lareap | Log product of land areas of i, j |
\(X_{17}\) | island | Number of island nations in the country pair i, j (0, 1, or 2) |
\(X_{18}\) | landl | Number of landlocked nations in the country pair i, j (0, 1, or 2) |
\(X_{19}\) | comlang | (binary) 1 if i, j share a common language |
\(X_{20}\) | comcol | (binary) 1 if i, j were ever colonies after 1945 with the same colonizer |
\(X_{21}\) | curcol | (binary) 1 if i is currently a colony of j or viceversa |
\(X_{22}\) | colony | (binary) 1 if i ever colonized j or viceversa |
\(X_{23}\) | custrict | (binary) 1 if i, j share the same currency or belong to a currency union |
\(X_{24}\) | regional | (binary) 1 if i, j belong to a common Regional Trade Agreement (RTA) |