RECOVERING PROVINCE IDENTIFIERS FROM TURKISH HOUSEHOLD LABOUR FORCE SURVEY MICRODATA
Official microdata from the Turkish Household Labour Force Survey (HLFS) provides geographic indicators at the NUTS-2 level (26 subregions). The way data is aggregated masks Türkiye’s 81 provinces, putting together potentially heterogeneous local economies under the same label, thus, limiting the evaluation of policies’ local impact. This paper presents a strategy to recover provincial-level identifiers in the microdata of the 2004-2013 period. A sequential identification algorithm is implemented based on the car plate provincial number, complemented with a year-specific urban-rural population re-weighting at the province level.
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