Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/146665
Authors: 
Monasterio, Leonardo Monteiro
Year of Publication: 
2016
Series/Report no.: 
Texto para Discussão, Instituto de Pesquisa Econômica Aplicada (IPEA) 2229
Abstract (Translated): 
This paper presents a method for classifying the ancestry of Brazilian surnames based on historical sources. The information obtained forms the basis for applying fuzzy matching and machine learning classification algorithms to more than 46 million workers in five categories: Iberian, Italian, Japanese, German and East European. The vast majority (96.4%) of the single surnames were identified using a fuzzy matching and the rest using a method proposed by Cavnar and Trenkle (1994). A comparison of the results of the procedures with data on foreigners in the 1920 Census and with the geographic distribution of non-Iberian surnames underscores the accuracy of the procedure.
Subjects: 
immigration
ancestry
surnames
JEL: 
J15
N36
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.