CEPII GEODIST INDIA FRANCE ISO

These two variables incorporate internal distances based on areas provided in the geocepii dataset. Weighted distance (pop-wt, km) with theta=1 (theta measures the sensitivity of trade flows to bilateral distance dkl) distwces 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. Simple distance between capitals (capitals, km) distw Simple distance (most populated cities, km) distcap Variable coded as 1 when the two countries were or are the same country. Variable coded as 1 when the country in 'iso_o' is a colony of the country in 'iso_d' after 1945. Title CEPIIs GeoDist Datasets Version 0. GeoDist makes available the exhaustive set of gravity variables used in Mayer and Zignago (2005). Data is drawn from the distcepii dataset, found under the GeoDist page at CEPIIs website. China, Bangladesh, India, Myanmar Economic Corridor: This is likely to move more slowly due to mistrust over. Variable coded as 1 when the country in 'iso_o' is a colony of the country in 'iso_d'. Summary ofBritish and French Aid and Bilateral Immigration.

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'. Variable coded as 1 when the two countries have at least 9% of their population speaking the same language. Variable coded as 1 when the two countries share the same official language. GeoDist provides several geographical variables, in particular bilateral distances measured. Variable coded as 1 when the two countries are next to each other and 0 otherwise. GeoDist makes available the exhaustive set of gravity variables used in Mayer and Zignago (2005).

CEPII GEODIST INDIA FRANCE 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. of export structures between other major economies (France. These two variables incorporate internal distances based on areas provided in the ‘geo_cepii' dataset. from China, while data for the distance variable derive from the GeoDist database of. 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. These two variables incorporate internal distances based on areas provided in the ‘geocepii dataset.

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. Data on pairs of countries including distance measures and dummy variables indicating common attributes 7 CEPII, WP No 2011 25 Notes on CEPIIs distances measures 2.

Cepii geodist india france