Do Urban Agglomeration Effects and Household Amenities have a Skill Bias?*

Adamson, Dwight W.; Clark, David E.; Partridge, Mark D.

doi:10.1111/j.0022-4146.2004.00334.x

Cited by 101 publications

(98 citation statements)

References 42 publications

(65 reference statements)

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“…Studies based on US data (NLSY, PSID or PUM) tend to find that the urban wage premium is increasing in education/skills (Glaeser and Mare, 2001;Wheeler, 2001;Gould, 2007;Rosenthal and Strange, 2008;Bacalod et al, 2009). Exceptions are Adamson et al (2004) who find a nonlinear relation between the urban wage premium and education level, and Lee (2010) who finds that the urban wage premium is negative for high-skilled health workers and positive for less skilled health workers. A Swedish study based on panel data of all private sector workers finds that the urban wage premium is largest for workers in occupations that demand non-routine tasks (Andersson et al, 2014), whereas, in Italy, return to higher education seems to be negatively correlated with regional population size (Di Addario and Patacchini, 2008).…”

Section: Introductionmentioning

confidence: 99%

Education, experience, and urban wage premium

Carlsen

Rattsø

Stokke

2016

Regional Science and Urban Economics

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Recent studies investigate the urban wage premium associated with education and work experience. We study the effect of work experience and firm tenure across education groups. All education groups benefit more from working in cities, and the extra city wage premium highly educated enjoy over less educated workers is increasing with city work experience. Interestingly, the city wage premium of less educated workers is increasing in firm tenure, while the highly educated gain more by shifting jobs between firms. The analysis is based on administrative registers covering all full time private sector workers in Norway, about 4.7 million worker-year observations.

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Section: Introductionmentioning

confidence: 99%

Education, experience, and urban wage premium

Carlsen

Rattsø

Stokke

2016

Regional Science and Urban Economics

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“…However, the exact nature of these externalities is unclear. Is it related to only a number of specific occupations of high or low skilled workers, as Wheeler (2001), Adamson et al (2004) and Lee (2010) show, or is it related to the broader concept of creativity, as argued by Florida (2012Florida ( , 2002? Is it related to human capital of workers as argued by Lucas (1988), or to human capital of residents, as argued by Sassen (2001)?…”

Section: Introductionmentioning

confidence: 99%

Human Capital Externalities: Effects for Low-Educated Workers and Low-Skilled Jobs

Broersma¹,

Edzes²,

Dijk

2015

Regional Studies

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Investments in human capital are essential themes in many policy programs. Besides the direct private returns of education, there is evidence of positive human capital externalities at the level of regions and firms. Our results show that both production and consumption externalities have positive effects on wages. Production externalities are transmitted at the level of firms and not at the regional level. For workers in low skilled jobs, consumption externalities dominate production externalities.Workers on low skilled jobs earn higher wages when working in co-operation with workers in high skilled jobs, while for low educated workers such co-operation with high educated workers is negative.JEL: J21, J24, J31, R23 1

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“…The latest US evidence suggests that non-economic factors such as natural amenities (Partridge & Rickman, 2003Partridge, 2010) are a key driver in influencing migration patterns and that the growth of cities is also very dependent on the migration induced by spatial sorting by skills and the interactions between these skills and the consumption of urban amenities (Glaeser et al, 2001;Adamson et al, 2004;Shapiro, 2006).…”

Section: Introductionmentioning

confidence: 99%

Long and Short Distance Migration in Italy: The Role of Economic, Social and Environmental Characteristics

Biagi

Faggian

McCann

2011

Spatial Economic Analysis

153

136

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This paper analyses Italian interregional migration flows. The approach taken is to decompose labour mobility flows into short distance and long distance migration and to model the effects of economic variables, social capital and quality of life variables, and amenity variables, on the mobility behaviour of individuals. We estimate these different types of migration flows using a negative binomial model, augmented with instruments to control for potential endogeneity issues. Our findings demonstrate that long distance migration reflects a disequilibrium model of migration whereas short distance migration largely reflects an equilibrium model of migration. As such, attempts to model interregional migration in general will be mis-specified as the simultaneously-operating underlying mobility systems are quite different in nature.Migration éloignée et rapprochée en Italie : rôle de facteurs économiques, sociaux et environnementaux RÉ SUMÉ La présente communication analyse les flux migratoires interrégionaux en Italie. Le principe adopté consiste à décomposer les flux de mobilité de la main-d'oeuvre en migrations rapprochée et migration éloignée, puis de modéliser les effets de variables économiques, de variables propres au capital social et à la qualité de vie, et de variables sur le plan de l'agrément sur le comportement de la mobilité des particuliers. Nous effectuons une estimation de ces différents types de flux migratoires en utilisant un modèle binomial négatif, renforcé par des instruments pour le contrôle de questions d'endogénéité potentielles. Nos conclusions démontrent que la migration éloignée reflète un modèle de déséquilibre de la migration, alors que la migration rapprochée reflète en grand partie un modèle déséquilibre de la migration. De cette façon, toutes tentatives de modélisation de migrations interrégionales seront spécifiées de façon erronée, du fait de la nature différente des systèmes de mobilité sous-jacents agissant simultanément. Spatial Economic Analysis, Vol. 6, No. 1, March 2011La migración de larga y corta distancia en Italia: el papel de las características económicas, sociales y ambientales RESUMEN En este trabajo se analizan los flujos migratorios interregionales de Italia. El método adoptado es la descomposición de los flujos de movilidad laboral en migración de corta y migración de larga distancia, y modelar los efectos de las variables económicas, las variables de capital social y de calidad de vida, y las variables de bienestar, con base en el comportamiento de la movilidad de los individuos. Estimamos estos tipos de flujos migratorios diferentes a través de un modelo binomial negativo, ampliado con instrumentos que permiten controlar los posibles problemas de endogeneidad. Nuestras conclusiones demuestran que la migración de larga distancia refleja un modelo desequilibrado de migración, mientras que la migración de corta distancia refleja en gran medida un modelo equilibrado de migración. Como tal, los intentos para modelar la migración interregional, en términos gen...

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Do Urban Agglomeration Effects and Household Amenities have a Skill Bias?*

Cited by 101 publications

References 42 publications

Education, experience, and urban wage premium

Education, experience, and urban wage premium

Human Capital Externalities: Effects for Low-Educated Workers and Low-Skilled Jobs

Long and Short Distance Migration in Italy: The Role of Economic, Social and Environmental Characteristics

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