![geodist all bilateral pairs stata geodist all bilateral pairs stata](https://i0.wp.com/www.thedatahall.com/wp-content/uploads/2020/06/7-1024x385.png)
ISO 639-2, two- and three-letter language codes with names in English and French (just under 500).Īfter some consideration, I've decided to post the files here so that an eventual enthusiast could extend the translation to other languages such as Mandarin, Hindi, Arabic, etc.Ĭould you please post the result(s) here if you do so? Simply add columns based on the logic of the enclosed Excel files.ISO 4217 (April 2022), three-letter and numeric currency codes with names in English and French, and numeric units (just below 200).ISO 3166-1, two-letter, three-letter, and numeric country codes with names in English and French (just above 200) – the default one which comes with the pyconvertu command in SSC.So far, after a standardization of sorts, the following classifications are available: I've compiled one more classification, the ISO 4217 (currency codes), and re-tested the existing ones to remove bugs in regular expressions. * convert country names to ISO 3166-1 alpha-3 * rename variables to form the 28x1 aka the EU-28 x U.S.
![geodist all bilateral pairs stata geodist all bilateral pairs stata](https://i2.wp.com/thedatahall.com/wp-content/uploads/2020/06/6.png)
The correlation between bilateral trade costs and any multilateral variable (such as gross domestic product, wages, or prices) approaches zero as the number of countries grows large. xtimportu excel "`url'", sheet("inflows") cellrange(E5) regex(`regex') tfreq(Y) clear tde export(delimited "./usa_fdi_matrix.csv", replace) Hence, for any arbitrary pair of countries, the impact of bilateral trade costs on price indices, producer prices, or factor costs will be infinitesimally small. * import the panel data to memory, export a copy as a CSV file * UNCTAD's (United Nations Conference on Trade and Development) file URL for the U.S. local regex "`regex'Slovakia|Slovenia|Spain|Sweden|United Kingdom" * RegEx for the EU-28, case sensitive! "$|Poland|Portugal|Romania|" FDI matrix from UNCTAD's Bilateral FDI statistics (historical data, 2000–2014) * convert country name to ISO 3166-1 alpha-3 replace unit = ustrregexra(unit, "_", " ") * revert underscores to spaces in the unit If you have any remaining questions, issues, or concerns about the data, contact us. xtimportu excel "`url'", cellrange(A3) regex(`regex') encode("Czech Republic") tfreq(Y) tde clear For any pair of countries, from 1948 to 2020, Gravity provides all the information required to estimate gravity equations: trade flows, geographical distances, trade facilitation measures, macroeconomic indicators, etc. * import the time series data to memory, unit: thousand GEODIST: Stata module to compute geodetic distances. * ČSÚ's (Czech Statistical Office) file URL for Population The analysis covers all island regions worldwide and documents the presence of. A model of trade with endogenous markups shows that the effect of distance on the sensitivity of trade to demand shocks depends on the specific nature of entry and production costs. Just one (I hope) more question: Im using Stata 10, and am not sure what the equivalent of 'merge 1:1 n' is. * RegEx for the indicator, case sensitive! Downloadable We show that distance matters for the volatility of international trade and finance beyond its well-known relevance for their level. Population time series for the Czech Republic (a country in Central Europe, EU member since 2004)