Language and Foreign Trade

By Jacques Mélitz. 2008

552 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ed727abb9cf216a01510feb976453015a36bd18c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

Citations in the corpus

Je t'aime, moi non plus : Bilateral opinions and international trade (2007, unknown): “European Journal of Political Economy (2007), doi:10.1016/j.ejpoleco.2006.09.021 More debate emerges when it comes to what is a good definition of proximity.”
Cultural proximity and trade (2006, methodology): “This may reflect the differences to the results reported by Melitz (2008), who draws on a sample with much larger country coverage.”
How remote are R&D labs? Distance factors and international innovative activities (2013, background): “Although language constitutes the medium allowing economic parties to exchange information (Melitz, 2008), knowledge flows would also require a great deal of cultural proximity.”
Why are Educated and Risk-Loving Persons More Mobile Across Regions? (2012, background): “6 Differences between national languages have often been used as a proxy for cultural differences across countries, see e.g. Ginsburgh and Weber (2011), Tabellini (2008) or Melitz (2008).”
Dialects, Cultural Identity, and Economic Exchange (2012, background): “Melitz (2008) provides a detailed gravity analysis on the effects of language commonalities on cross-country trade flows by distinguishing different modes of communication, whereas Rauch (1999) and Rauch and Trindade (2002) show that immigrant networks help overcome communication barriers when the h”
Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform (2018, background): “Typically, researchers regress bilateral trade on a dummy variable for whether the two countries share the same language, and ﬁnd that this coeﬃcient is strongly positive (e.g., Melitz (2008), Egger and Lassmann (2012), and Melitz and Toubal (2014)).”
Notes on CEPII’s distances measures: The GeoDist database (2011, background): “• continent: Continent to which the country is belonging • langoff_i: Official or national languages and languages spoken by at least 20% of the population of the country (and spoken in another country of the world5) following the same logic than the “open-circuit languages” in Mélitz (2002).”
The causal impact of common native language on international trade: Evidence from a spatial regression discontinuity design: evidence from a spatial regression discontinuity design (2015, unknown): “Empirical research typically models common language as a non-tariff barrier to trade – mostly in the form of an iceberg-type, ad-valorem trade cost element among the numerous variable costs to trade in line with (1) (see Helliwell, 1999; Melitz, 2008; Egger and Lassmann, 2012; Melitz and Toubal, 201”
Native language, spoken language, translation and trade (2014, unknown): “In terms of the literature, 0.5 corresponds precisely to the estimate in Frankel and Rose (2002) and in Melitz (2008).”
The Language Effect in International Trade: A Meta-Analysis (2012, background): “While channels through which common language affects bilateral trade are well understood (see Melitz, 2008, Melitz and Toubal, 2011) and there is abundant evidence that having an official or speaking a common language increases bilateral trade between countries, there is enormous variability of λ…”
Ancestry, Language and Culture (2015, background): “Salient references include Melitz (2008), Melitz and Toubal (2012), Guiso, Sapienza and Zingales (2009) and Egger and Toubal (2015).”
Rose effect and the euro: is the magic gone? (2010, unknown): “de Nardis & Vicarelli (2003) Chintrakarn (2008) Taglioni (2004)”