Does the urban wage premium differ by pre-employment status

Dados Bibliográficos

ID10405343
AutoresSilke Hamann (0000-0002-6588-0892, IAB Baden-Württemberg, Regional Research Network of the Institute for Employment Research, Institute for Employment Research, Stuttgart, Germany, autor correspondente), Annekatrin Niebuhr (0000-0001-8218-0954, IAB Nord, Regional Research Network of the Institute for Employment Research, Institute for Employment Research, Kiel, Germany; and Empirical Labour Economics and Spatial Econometrics, Department of Economics, Christian-Albrechts-Universität zu Kiel, Kiel, Germany.), Jan Peters (0000-0002-5266-8091), Jan Cornelius Peters (0000-0001-9328-3078, Johann Heinrich von Thünen Institute, Institute of Rural Studies, Braunschweig, Germany. (present address); and IAB Nord, Regional Research Network of the Institute for Employment Research, Institute for Employment Research, Kiel, Germany.)
Ano2019
Volume53
Fascículo10
Páginas1435-1446
Data de publicação2019-03-14
Open AccessNão
TipoARTICLE
PeriódicoRegional Studies (JOURNAL)
Identificadores do periódicoISSN: 0034-3404 • E-ISSN: 1360-0591
EditoraRoutledge (PUBLISHER • GB)
DOI10.1080/00343404.2019.1577553
OpenAlexW2921628179
IdiomaEN
Citações recebidas1
Referências citadas37

This paper investigates whether the density of local labour markets in Germany impacts on the wage of new employment relationships and whether corresponding urbanization economies differ significantly across distinct types of transitions to employment. The results suggest rather small static urbanization benefits. Doubling employment density increases the wage of new employment relationships by 1.0–2.6%. Moreover, benefits seem to accrue only to persons experiencing job-to-job transitions and the short-term unemployed, but not to the long-term unemployed. It is supposed these differences point to matching advantages in large urban labour markets from which only some job seekers benefit

Demographic economics · Economic growth · Economics · Labour economics · Matching (statistics · Point (geometry · Seekers · Spatial mismatch · Term (time · Unemployment · Urbanization · Wage · Labor market dynamics and wage inequality · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis

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