Domestic and International Common Language Database (DICL)

The Domestic and International Common Language Database (DICL) provides comprehensive measures of common language usage across countries and within countries. Developed in collaboration with Tamara Gurevich, Peter Herman, and Yoto Yotov, this dataset enables detailed analysis of the role of common languages in trade.

For more information and access to the dataset, visit the USITC DICL Database.

Related Works:

• "Linguistic Fractionalization, Trade, and Welfare", with Tamara Gurevich, Peter Herman & Yoto Yotov, R&R Economic Inquiry.
• "A Dataset on Linguistic Connectivity Across and Within Countries", with Tamara Gurevich, Peter Herman & Yoto Yotov, R&R Nature - Scientific Data.

Language Dataset

The Language Dataset measures the role of common languages and translation in trade flows. It provides insights into the linguistic factors influencing global trade patterns.

This dataset, co-authored with Jacques Melitz, is hosted at the CEPII Database.

Related Works:

• "Native Language and Acquired Language as Determinants of Product-level Trade", with P. Egger. The World Economy, 41(7): 1833-1846, 2018.
• "Foreign Language Learning and Trade", with V. Ginsburgh & J. Melitz. Review of International Economics, 25(2): 320-361, 2017.
• "Languages and International Trade", with Peter Egger. Victor Ginsburgh & Shlomo Weber eds., The Palgrave Handbook of Economics and Languages, Vol. 1, Chapter 9, 2016.
• "Native Language, Spoken Language, Translation and Trade", with Jacques Melitz. Journal of International Economics, 93(2): 351-363, 2014. STATA Codes.