Cyclicality of labour market search: a new big data approach
Open Access
- 23 January 2021
- journal article
- research article
- Published by Springer Nature in Journal for Labour Market Research
- Vol. 55 (1), 1-16
- https://doi.org/10.1186/s12651-020-00283-9
Abstract
This paper exploits big data on online activity from the job exchange of the German Federal Employment Agency and its internal placement-software to generate measures for search activity of employers and job seekers and—as a novel feature—for placement activity of employment agencies. In addition, the average search perimeter in the job seekers’ search profiles can be measured. The data are used to estimate the behaviour of the search and placement activities during the business and labour market cycle and their seasonal patterns. The results show that the search activities of firms and employment agencies are procyclical. By contrast, job seekers’ search intensity shows a countercyclical pattern, at least before the COVID-19 crisis.Keywords
This publication has 17 references indexed in Scilit:
- Worker search effort as an amplification mechanismJournal of Monetary Economics, 2015
- Mismatch UnemploymentAmerican Economic Review, 2014
- Match efficiency and firms' hiring standardsJournal of Monetary Economics, 2014
- Job Search Behavior over the Business CycleSSRN Electronic Journal, 2014
- Discouraging Workers: Estimating the Impacts of Macroeconomic Shocks on the Search Intensity of the UnemployedJournal of Labor Research, 2013
- The Establishment-Level Behavior of Vacancies and Hiring *The Quarterly Journal of Economics, 2013
- Job Search, Emotional Well-Being, and Job Finding in a Period of Mass Unemployment: Evidence from High-Frequency Longitudinal DataBrookings Papers on Economic Activity, 2011
- Internet Job Search and Unemployment DurationsAmerican Economic Review, 2004
- Chapter 15 Job search and labor market analysisHandbook of Labor Economics, 1986
- Adjustment of Monthly or Quarterly Series to Annual Totals: An Approach Based on Quadratic MinimizationJournal of the American Statistical Association, 1971