an official language (taking 0 otherwise), as presented by CEPII GeoDist. Variable coded as 1 when the country in 'iso_o' is a colony of the country in 'iso_d' after 1945. and the explanatory variables, which amounts to assume that the means of the.
Variable coded as 1 when the country in 'iso_o' is a colony of the country in 'iso_d'. Variable coded as 1 when the two country share the same colonizer after 1945. Variable coded as 1 when the country in 'iso_o' was ever a colony of the country in 'iso_d'. The test requires that the five right-hand side variables be exogenous or. Variable coded as 1 when the two countries have at least 9% of their population speaking the same language. 3 CEPII, WP No 2011 25 Notes on CEPIIs distances measures A BSTRACT GeoDist makes available the exhaustive set of gravity variables used in Mayer and Zignago. Variable coded as 1 when the two countries share the same official language. The reference article for these datasets is Mayer and Zignago (2011). Variable coded as 1 when the two countries are next to each other and 0 otherwise. GeoDist provides several geographical variables, in particular bilateral distances measured using citylevel data to assess the geographic distribution of. CEPII's GeoDist Datasets Description Provides data on countries and their main city or agglomeration and the different distance measures and dummy variables indicating whether two countries are contiguous, share a common language or a colonial relationship.
#Cepii geodist variables iso
iso_dĬountry of destination as ISO codes in three characters. The distance formula used is a generalized mean of city-to-city bilateral distances developed by Head and Mayer (2002), which takes the arithmetic mean and the harmonic means as special cases.Ī data frame with 50176 observations on the following 14 variables.Ĭountry of origin as ISO codes in three characters. 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. The two weighted distance measures use city-level data to assess the geographic distribution of population inside each nation. These two variables incorporate internal distances based on areas provided in the ‘geo_cepii' dataset. The simple distances are calculated following the great circle formula, which uses latitudes and longitudes of the most important city (in terms of population) or of its official capital. There are two kinds of distance measures: simple distances, for which only one city is necessary to calculate international distances and weighted distances, for which we need data on principal cities in each country. Provides different distance measures and dummy variables indicating whether the two countries are contiguous, share a common language or a colonial relationship. In cepiigeodist: CEPII's GeoDist Datasetsĭescription Format Source References Examples
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