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Automated Occupational Advice for Long-Term Unemployed During Online Job Search, 2019-2021
Creator
Kircher, P, University of Edinburgh, Cornell University
Study number / PID
856167 (UKDA)
10.5255/UKDA-SN-856167 (DOI)
Data access
Open
Series
Not available
Abstract
The data covers job search activities and employment outcomes for participants in an online study on the provision of occupational recommendations to job seekers.
Providing job search assistance to job seekers in a cost effective manner is a challenging goal. Interventions aimed at providing tailored advice typically involve large personnel costs that often dissipate the benefits. However, the advances in information technologies and the shift of formal job search to online platforms over the last 20 years offer new opportunities for providing advice at very low-cost. In this study we examine the potential for providing on-line advice to a population of hard-to-place job seekers.
In a randomized field experiment, we provided suggestions about suitable alternative occupations to long-term unemployed job seekers. The suggestions were automatically generated, integrated in an online job search platform, and fed into actual search queries. Effects on the primary pre-registered outcomes of "finding a stable job" and "reaching a cumulative earnings threshold" are positive, large, and are more pronounced for those who are longer unemployed. Treated individuals include more occupations in their search and find more jobs in recommended occupations.The crisis and its aftermath have thrown up many challenges for macroeconomics. For the past thirty years the predominant methodology in macroeconomics has been a class of models that assume an absence of heterogeneity across firms, individuals, etc., and assume that individuals have access to well-functioning insurance markets.
These models have been widely criticised for providing no insight into the current crisis. The crisis has highlighted i) the extreme nature of labour market responses as unemployment has remained high while nominal wages have remained inflexible; ii) the importance of credit markets in generating as well as propagating shocks.. It is our view that that a deeper understanding of credit and labour...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/01/2019 - 15/01/2021
Country
United Kingdom
Time dimension
Not available
Analysis unit
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
The data was collected in collaboration with a private provider of job search assistance programs for long-term unemployed in the UK. The provider hosts an online job search portal. Our study selected all job seekers that registered on the portal between 2019-01-01 and 2020-10-01 and that consented to participation in the study.For these participants, all job search data was collected through a set of API's that received the information directly from user activity on the portal. Information on job finding was provided by the provider of job search assistance programs that ran the online job search portal.
Funding information
Grant number
ES/L009633/1
Access
Publisher
UK Data Service
Publication year
2023
Terms of data access
The UK Data Archive has granted a dissemination embargo. The embargo will end on 28 February 2025 and the data will then be made available to anyone without the requirement of registration.