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.
Original language | English (US) |
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Title of host publication | Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014 |
Editors | Jimmy Lin, Jian Pei, Xiaohua Tony Hu, Wo Chang, Raghunath Nambiar, Charu Aggarwal, Nick Cercone, Vasant Honavar, Jun Huan, Bamshad Mobasher, Saumyadipta Pyne |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 5-13 |
Number of pages | 9 |
ISBN (Electronic) | 9781479956654 |
DOIs | |
State | Published - 2014 |
Event | 2nd IEEE International Conference on Big Data, IEEE Big Data 2014 - Washington, United States Duration: Oct 27 2014 → Oct 30 2014 |
Publication series
Name | Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014 |
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Other
Other | 2nd IEEE International Conference on Big Data, IEEE Big Data 2014 |
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Country/Territory | United States |
City | Washington |
Period | 10/27/14 → 10/30/14 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
Keywords
- census
- machine learning
- social mobility