Regional Employment and Unemployment

Mameli, Francesca; Tselios, Vassilis; Rodríguez‐Pose, Andrés

doi:10.1007/978-3-642-23430-9_9

Cited by 2 publications

(2 citation statements)

References 26 publications

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“…Socio-economic and institutional control variables are population density, educational attainment, the percentage share of the younger population which has the advantage that it may also reflect a higher birth rate (Elhorst, 2003;Mameli et al, 2014), active labour market policies (ALMP), employment protection legislation (EPL), unemployment benefits (UB) and early retirement (ER). These policy variables constitute a central part of the EU's 2020 employment strategy.…”

Section: Extension Of the Modelmentioning

confidence: 99%

“…Since the marginal reactions to the explanatory variables tend to be different, a gender distinction is made (Cahuc & Zylberberg, 2004;Elhorst, 2008;Mameli et al, 2014). In addition to regional variables, national factors are included as they can impact the performance of the labour market (Blanchard & Wolfers, 2000;Boeri & van Ours, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Regional labour force participation across the European Union: a time–space recursive modelling approach with endogenous regressors

Vega

Elhorst

2016

Spatial Economic Analysis

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Regional labour force participation across the European Union: a time-space recursive modelling approach with endogenous regressors. Spatial Economic Analysis. Although there is an abundant regional labour market literature taking a spatial perspective, only a few studies have explored extending the analysis of labour force participation with spatial effects. This paper revisits this important issue, proposing a timespace recursive modelling approach that builds on and appraises Fogli and Veldkamp's methodology from 2011 and finding for the United States that participation rates vary with past values in nearby regions. Major shortcomings in their study are corrected for, including stationarity and the control for endogenous regressors other than the time and space-time-lagged dependent variable using system generalized method of moments (GMM). The paper also highlights interaction effects among explanatory variables for the first time in this context. Using a panel of 108 regions across the European Union over 1986-2010, the results for total, male and female participation rates throw a new light on the socio-economic relevance of different determinants. Importantly, characteristics in neighbouring regions play a significant role, and neglecting endogeneity is found to have serious consequences, underlining increased attention on the specification and estimation of spatial econometric models with endogenous regressors. MOTS CLÉS participation de la population active régions de l'Union européenne, panneaux spatiaux dynamiques, régresseurs endogènes RESUMEN Participación regional de la población activa en la Unión Europea: un enfoque de modelo recursivo tiempoespacio con regresores endógenos. Spatial Economic Analysis. Aunque existen abundantes publicaciones sobre el mercado laboral regional con una perspectiva espacial, solo en unos pocos estudios se ha intentado ampliar con efectos espaciales el análisis de la participación de la población activa. En este artículo revisamos esta cuestión importante proponiendo un enfoque de modelo recursivo tiempo-espacio que valora y se basa en la metodología de Fogli y Veldkamp de 2011, donde se observó que en los Estados Unidos los niveles de participación varían con valores previos en regiones cercanas. Corregimos importantes deficiencias en su estudio, entre ellas la estacionalidad y el control de regresores endógenos que no sean la variable que depende del tiempo y el espacio-tiempo retrasado mediante el método generalizado de momentos (GMM). También se destacan los efectos de interacción entre las variables explicativas por primera vez en este contexto. A partir de un panel de 108 regiones de toda la Unión Europea para el periodo entre 1986 y 2010, los resultados para el nivel de participación total, de mujeres y de hombres, aportan un enfoque nuevo sobre la relevancia socioeconómica de los diferentes determinantes. Pero lo más importante es que las características en las regiones vecinas desempeñan un importante papel y observamos que ignorar la endogeneidad tie...

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Section: Extension Of the Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Regional labour force participation across the European Union: a time–space recursive modelling approach with endogenous regressors

Vega

Elhorst

2016

Spatial Economic Analysis

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Testing and explaining economic resilience with an application to Italian regions

2017

Papers in Regional Science

115

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This paper studies regional economic resilience by exploiting the properties of the non-linear smooth-transition autoregressive model. A testing procedure to distinguish between engineering and ecological resilience is presented, and a measurement of economic resilience is provided. Regional differences in economic resilience are explained by the presence of spatial interactions and by adopting a set of determinants like economic diversity, export performance, financial constraints, and human and social capital. An empirical investigation is conducted for analysing regional employment evolution in Italy from 1992 to 2012. Some concluding suggestions propose possible future areas of research.JEL classification: R11, R12, C34

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Regional Employment and Unemployment

Cited by 2 publications

References 26 publications

Regional labour force participation across the European Union: a time–space recursive modelling approach with endogenous regressors

Regional labour force participation across the European Union: a time–space recursive modelling approach with endogenous regressors

Testing and explaining economic resilience with an application to Italian regions

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