Details
| Original language | English |
|---|---|
| Journal | IZA Journal of Labor Economics |
| Volume | 8 |
| Issue number | 1 |
| Publication status | Published - 13 Sept 2019 |
| Externally published | Yes |
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.
Keywords
- data collection, Labor demand, statistical inference, time series, vacancies, web crawling
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Industrial relations
- Economics, Econometrics and Finance(all)
- Economics and Econometrics
- Business, Management and Accounting(all)
- Organizational Behavior and Human Resource Management
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In: IZA Journal of Labor Economics, Vol. 8, No. 1, 13.09.2019.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Survey vs Scraped Data
T2 - Comparing Time Series Properties of Web and Survey Vacancy Data
AU - De Pedraza, Pablo
AU - Visintin, Stefano
AU - Tijdens, Kea
AU - Kismihók, Gábor
N1 - Funding The authors acknowledge the financial contribution of the SERISS project (H2020 No: 654221).
PY - 2019/9/13
Y1 - 2019/9/13
N2 - 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.
AB - 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.
KW - data collection
KW - Labor demand
KW - statistical inference
KW - time series
KW - vacancies
KW - web crawling
UR - http://www.scopus.com/inward/record.url?scp=85072704016&partnerID=8YFLogxK
U2 - 10.2478/izajole-2019-0004
DO - 10.2478/izajole-2019-0004
M3 - Article
AN - SCOPUS:85072704016
VL - 8
JO - IZA Journal of Labor Economics
JF - IZA Journal of Labor Economics
IS - 1
ER -