Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/162198
Authors: 
Simionescu, Mihaela
Zimmermann, Klaus F.
Year of Publication: 
2017
Series/Report no.: 
GLO Discussion Paper 81
Abstract: 
Internet or "big" data are increasingly measuring the relevant activities of individuals, households, firms and public agents in a timely way. The information set involves large numbers of observations and embraces flexible conceptual forms and experimental settings. Therefore, internet data are extremely useful to study a wide variety of human resource issues including forecasting, nowcasting, detecting health issues and well-being, capturing the matching process in various parts of individual life, and measuring complex processes where traditional data have known deficits. We focus here on the analysis of unemployment by means of internet activity data, a literature starting with the seminal article of Askitas and Zimmermann (2009a). The article provides insights and a brief overview of the current state of research.
Subjects: 
big data
unemployment
internet
Google
internet penetration rate
JEL: 
C22
C82
E17
E24
E37
Document Type: 
Working Paper

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