dc.contributor.author | Dee Boman, Kevin | |
dc.contributor.author | Åkesson, Wilhelm | |
dc.date.accessioned | 2021-06-30T06:43:56Z | |
dc.date.available | 2021-06-30T06:43:56Z | |
dc.date.issued | 2021-06-30 | |
dc.identifier.uri | http://hdl.handle.net/2077/68892 | |
dc.description | MSc Economics | sv |
dc.description.abstract | Using the largest digital job ads platform in Sweden, we construct a daily labor
demand index based on millions of job ads. This daily index functions as a less
expensive, high frequency complement to o cial survey data. To measure the precision
of this index we compare it to o cial survey statistics and nd that it tracks
labor demand. The granularity of the index enables disaggregation by region and
occupation on a level of detail not found in conventional methods. It is also used to
construct empirical Beveridge curves. This study contributes to a growing scienti c
literature on using internet data to analyze the labor market. | sv |
dc.language.iso | eng | sv |
dc.relation.ispartofseries | Master Degree Project | sv |
dc.relation.ispartofseries | 2021:174 | sv |
dc.subject | labor market | sv |
dc.subject | Beveridge curve | sv |
dc.subject | big data | sv |
dc.subject | vacancy rate | sv |
dc.subject | internet data | sv |
dc.subject | time series | sv |
dc.title | Measuring Labor Demand using Job Ads | sv |
dc.type | Text | |
dc.setspec.uppsok | SocialBehaviourLaw | |
dc.type.uppsok | H2 | |
dc.contributor.department | University of Gothenburg/Graduate School | eng |
dc.contributor.department | Göteborgs universitet/Graduate School | swe |
dc.type.degree | Master 2-years | |