Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/222150
Authors: 
de Pedraza, Pablo
Visintin, Stefano
Tijdens, Kea Gartje
Kismihók, Gábor
Year of Publication: 
2019
Citation: 
[Journal:] IZA Journal of Labor Economics [ISSN:] 2193-8997 [Volume:] 8 [Year:] 2019 [Issue:] 4 [Pages:] 1-23
Abstract: 
This paper studies the relationship between a vacancy population obtained from web crawling and vacancies in the economy inferred by a National Statistics Office (NSO) using a traditional method. We compare the time series properties of samples obtained between 2007 and 2014 by Statistics Netherlands and by a web scraping company. We find that the web and NSO vacancy data present similar time series properties, suggesting that both time series are generated by the same underlying phenomenon: the real number of new vacancies in the economy. We conclude that, in our case study, web-sourced data are able to capture aggregate economic activity in the labor market.
Subjects: 
web crawling
statistical inference
time series
vacancies
Labor demand
data collection
JEL: 
J23
J63
C22
C80
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by/4.0/
Document Type: 
Article

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