DocumentCode :
1791767
Title :
Mining microdata: Economic opportunity and spatial mobility in Britain and the United States, 1850–1881
Author :
Baskerville, Peter ; Dillon, Lisa ; Inwood, Kris ; Roberts, Evan ; Ruggles, Steven ; Schurer, Kevin ; Warren, John Robert
Author_Institution :
Dept. of History, Univ. of Alberta, Edmonton, AB, Canada
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
5
Lastpage :
13
Abstract :
For almost two centuries social theorists have argued that the fundamental difference in social structure between Europe and North America arises from greater economic and geographic mobility in North America. We study social mobility in three countries across two generations using machine learning techniques to create panels of individuals linked between censuses thirty years apart (1850-1880, 1880-1910). This paper reports on a preliminary analysis of social mobility between 1850 and 1880, finding that mobility was markedly higher in the United States and Canada, compared to Great Britain.
Keywords :
data mining; learning (artificial intelligence); socio-economic effects; Britain; Europe; North America; United States; economic opportunity; geographic mobility; machine learning; microdata mining; social mobility; social structure; spatial mobility; Couplings; Economics; Educational institutions; History; North America; Sociology; Statistics; census; machine learning; social mobility;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data (Big Data), 2014 IEEE International Conference on
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/BigData.2014.7004446
Filename :
7004446
Link To Document :
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