de Pedraza, Pablo Visintin, Stefano Tijdens, Kea Gartje Kismihók, Gábor
Year of Publication:
[Journal:] IZA Journal of Labor Economics [ISSN:] 2193-8997 [Volume:] 8 [Year:] 2019 [Issue:] 4 [Pages:] 1-23
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.
web crawling statistical inference time series vacancies Labor demand data collection