rv_urv_nuts3_tr.dta

I present a new dataset for the related and unrelated variety at the provincial level in Turkey by employing Hidalgo, Klinger, Barabasi, and Hausmann's (2007) proximity approach following Boschma, Minondo, and Navarro (2012). I used province-level export data obtained from the Turkish Statistical Institute (TurkStat) classified according to the four-digit Standard International Trade Classification (SITC). Global proximity values for product groups, on the other hand, were calculated by using the International Trade Database at the Product Level (BACI) dataset. First, the HS classification of BACI has been converted to four-digit SITC (revision 3) by using Eurostat Metadata Server (RAMON) conversion tables to provide data compliance. In addition, to eliminate the noise resulting from the fluctuations in prices, exchange rates, and seasonality, especially in four-digit export data, Hidalgo (2021) recommends excluding countries that export less than 1 Billion dollars, countries with a population of less than 1 Million, and products with a global export value below 500 Million dollars from the sample. After the data cleaning process, we calculated global proximity values over 132 countries. Variables description iladi : Provinces rvi : Related Variety Index urvi : Unrelated Variety Index