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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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Autor principal: Wozniak, Marcin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
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
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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.
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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
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