Notes on CEPII’s distances measures
By Thierry Mayer, Soledad Zignago. 2006
510 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/7b13f852be384cd2fa7937fb3f532fda84f697d3
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Citations in the corpus
- Environmental regulation and the export dynamics of energy technologies (2008, unknown): “The idea is to calculate distance between two countries based on bilateral distances between the largest cities of those two countries, those inter-city distances being weighted by the share of the city in the overall country’s population (Mayer and Zignago, 2006).”
- Economic Integration Agreements, Border Effects, and Distance Elasticities in the Gravity Equation (2015, unknown): “Following Mayer and Zignago (2006), bilateral distance both between countries and (internal distance) within countries is calculated as DISTANCEij = ∑ k∈i Popk/Popi ∑ l∈j Popl/PopjDkl, where Popk is the population of agglomeration k in exporter i, Popl is the population of agglomeration l in…”
- Markups, quality, and transport costs (2012, methodology): “Distances are from the dataset developed by Mayer and Zignago (2006).27 Real GDP and GDP per capita in PPP, from the IFS database, are used as control variables.”
- The Gravity Equation in International Trade: An Explanation (2018, background): “23See http://pwt.econ.upenn.edu/.”
- The Cross-country Determinants of Potential and Actual Migration 1 (2014, unknown): “Source: CEPII Dyadic Distance Database (Mayer and Zignago, 2011).”
- Knocking on Tax Haven’s Door: Multinational Firms and Transfer Pricing (2017, methodology): “…distance variable (the population-weighted average distance between countries’ main cities in kilometers), which is taken from the CEPII database (Mayer & Zignago, 2006), and information 24 Details on the composition of exports composition to tax havens are available in table A.4 of the online…”