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Spatial matching on the urban labor market: estimates with unique micro data
In the paper, we investigate spatial relationship on the labor market of Poznań agglomeration (Poland) with unique data on job vacancies. We have developed spatial panel models to assess the search and matching process with a particular focus on spatial spillovers. In general, spatial models may pro...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8023352/ https://www.ncbi.nlm.nih.gov/pubmed/33842828 http://dx.doi.org/10.1186/s12651-021-00293-1 |
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author | Wozniak, Marcin |
author_facet | Wozniak, Marcin |
author_sort | Wozniak, Marcin |
collection | PubMed |
description | In the paper, we investigate spatial relationship on the labor market of Poznań agglomeration (Poland) with unique data on job vacancies. We have developed spatial panel models to assess the search and matching process with a particular focus on spatial spillovers. In general, spatial models may provide different findings than regular panel models regarding returns to scale in matching technology. Moreover, we have identified global spillover effects as well as other factors that impact the job-worker matching. We underline the role of data on job vacancies: the data retrieved from commercial job portals produced much more reliable estimates than underestimated registered data. |
format | Online Article Text |
id | pubmed-8023352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-80233522021-04-06 Spatial matching on the urban labor market: estimates with unique micro data Wozniak, Marcin J Labour Mark Res Original Article In the paper, we investigate spatial relationship on the labor market of Poznań agglomeration (Poland) with unique data on job vacancies. We have developed spatial panel models to assess the search and matching process with a particular focus on spatial spillovers. In general, spatial models may provide different findings than regular panel models regarding returns to scale in matching technology. Moreover, we have identified global spillover effects as well as other factors that impact the job-worker matching. We underline the role of data on job vacancies: the data retrieved from commercial job portals produced much more reliable estimates than underestimated registered data. Springer Berlin Heidelberg 2021-04-06 2021 /pmc/articles/PMC8023352/ /pubmed/33842828 http://dx.doi.org/10.1186/s12651-021-00293-1 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Article Wozniak, Marcin Spatial matching on the urban labor market: estimates with unique micro data |
title | Spatial matching on the urban labor market: estimates with unique micro data |
title_full | Spatial matching on the urban labor market: estimates with unique micro data |
title_fullStr | Spatial matching on the urban labor market: estimates with unique micro data |
title_full_unstemmed | Spatial matching on the urban labor market: estimates with unique micro data |
title_short | Spatial matching on the urban labor market: estimates with unique micro data |
title_sort | spatial matching on the urban labor market: estimates with unique micro data |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8023352/ https://www.ncbi.nlm.nih.gov/pubmed/33842828 http://dx.doi.org/10.1186/s12651-021-00293-1 |
work_keys_str_mv | AT wozniakmarcin spatialmatchingontheurbanlabormarketestimateswithuniquemicrodata |