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Title: | What Drives the Urban Wage Premium? Evidence along the Wage Distribution [WP] |
Author: | Matano, Alessia Naticchioni, Paolo |
Keywords: | Geografia de la població Competències professionals Salaris Distribució (Teoria econòmica) Capital social (Sociologia) Population geography Vocational qualifications Wages Distribution (Economic theory) Social capital (Sociology) |
Issue Date: | 2012 |
Publisher: | Universitat de Barcelona. Institut de Recerca en Economia Aplicada Regional i Pública |
Series/Report no: | [WP E-AQR12/02] [WP E-IR12/03] |
Abstract: | This paper aims at disentangling the role played by different theoretical explanations in accounting for the urban wage premium along the wage distribution. We analyze the wage dynamics of migrants from low-to-high-density areas in Italy, using quantile regression and individual panel data to control for the sorting of workers. The results show that skilled workers enjoy a higher wage premium when they migrate (wage level effect), in line with the agglomeration externalities explanation, while unskilled workers benefit more from a wage premium accruing over time (wage growth effect). Further, investigating the determinants of the wage growth effect in greater depth, we find that for unskilled workers the wage growth is mainly due to human capital accumulation over time, consistently with the “learning” hypothesis, while for skilled workers it is the “coordination” hypothesis that matters. |
Note: | Reproducció del document publicat a: http://www.ub.edu/irea/working_papers/2012/201203.pdf |
It is part of: | IREA – Working Papers, 2012, IR12/03 AQR – Working Papers, 2012, AQR12/02 |
URI: | https://hdl.handle.net/2445/58305 |
ISSN: | 2014-1254 |
Appears in Collections: | AQR (Grup d’Anàlisi Quantitativa Regional) – Working Papers Documents de treball (Institut de Recerca en Economia Aplicada Regional i Pública (IREA)) Documents de treball / Informes (Econometria, Estadística i Economia Aplicada) |
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File | Description | Size | Format | |
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IR12-003_Matano.pdf | 547.12 kB | Adobe PDF | View/Open |
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