Lexicographic biases in international trade

A-Tier
Journal: Journal of International Economics
Year: 2020
Volume: 126
Issue: C

Authors (3)

Cheng, Hua (not in RePEc) Hu, Cui (not in RePEc) Li, Ben G. (Boston College)

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

The names of traders should not matter if information is symmetric across traders. By examining export data from Chinese customs, we find persistent lexicographic biases in firm-level export records. Firms whose names are lexicographically earlier in the Chinese-character rank export more to countries that have greater language proximities to Chinese, while firms whose names are lexicographically earlier in the English-romanization rank export more to countries that have greater language proximities to English. The lexicographic biases signify linguistic visibility as a source of comparative advantage in international trade.

Technical Details

RePEc Handle
repec:eee:inecon:v:126:y:2020:i:c:s0022199620300623
Journal Field
International
Author Count
3
Added to Database
2026-01-25