Survey vs scraped data: Comparing time series properties of web and survey vacancy data

Artikel

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: IZA Journal of Labor Economics ; ISSN: 2193-8997 ; Volume: 8 ; Year: 2019 ; Issue: 4 ; Pages: 1-23 ; Warsaw: Sciendo

Classification and Topics

• Classification: Wirtschaft ; Labor Demand ; Labor Turnover; Vacancies; Layoffs ; Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes ; Data Collection and Data Estimation Methodology; Computer Programs: General
• Subject: web crawling ; statistical inference ; time series ; vacancies ; Labor demand ; data collection

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): de Pedraza, Pablo ; Visintin, Stefano ; Tijdens, Kea Gartje ; Kismihók, Gábor
• Event: Veröffentlichung
• (who): Sciendo
• (where): Warsaw
• (when): 2019

Further information

• DOI: doi:10.2478/izajole-2019-0004
• Handle: http://hdl.handle.net/10419/222150
• Last update: 10.03.2025, 11:42 AM CET