Spatial Unemployment Differentials in Colombia

Diaz, Ana Maria

doi:10.13043/dys.76.3

Cited by 7 publications

(12 citation statements)

References 32 publications

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“…Lastly, highly educated are in greater demand in the labour market, and therefore they have greater opportunities to migrate (Elhorst 2003). Those theoretical considerations are in line with empirical results from Overman and Puga (2002), Diaz (2016), Marston (1985), López-Bazo et al (2002) and López-Hernández (2013). Semerikova (2015) finds mixed results using German data as both people without a professional education and those with a university education have a positive effect on unemployment.…”

Section: Theoretical Framework Of Regional Labour Market Disparitiessupporting

confidence: 62%

“…This negative effect of employment growth is reported in most studies (e.g. Badinger and Url 2002, Diaz 2016, López-Bazo et al 2002, Mitchell and Bill 2004, Niebuhr 2003, Semerikova 2015.…”

Section: Theoretical Framework Of Regional Labour Market Disparitiesmentioning

confidence: 70%

“…Aragon et al 2003) confirm the argument, most of the results are mixed or lacking significance (e.g. Semerikova 2015, López-Bazo et al 2002, López-Hernández 2013, Filiztekin 2009, Niebuhr 2003, Diaz 2016).…”

Section: Theoretical Framework Of Regional Labour Market Disparitiesmentioning

confidence: 72%

“…Therefore, labour markets do not manage to reach this equal unemployment rate before a new shock (e.g. a factory closure) hits the labour market (Diaz 2016). Contrary to the equilibrium view, where long-run differentials could not be reduced by government policies, introducing more flexibility to labour markets and reducing migration costs could here help increase the speed of adjustment, hence reducing disparities in regional unemployment rates in the long term.…”

Section: Theoretical Framework Of Regional Labour Market Disparitiesmentioning

confidence: 89%

“…housing costs) and firms are restricted by labour market rigidities (e.g. taxation, labour laws, welfare state arrangements, union agreements) (Marston 1985, Diaz 2016. Therefore, labour markets do not manage to reach this equal unemployment rate before a new shock (e.g.…”

Section: Theoretical Framework Of Regional Labour Market Disparitiesmentioning

confidence: 99%

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Spatial Interactions of Regional Labour Markets in Europe

Kivi

2019

SSRN Journal

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This study investigates the spatial dependence of unemployment and employment rates in Europe relying on Eurostat NUTS2 level data for 306 European regions. Spatial dependence is explored using spatial error, spatial lag and a spatial autoregressive model with spatial autoregressive disturbances. The findings show that regional labour markets in Europe cluster in spaceregions with high (low) (un)employment rate are surrounded by regions with high (low) (un)employment rate. The study provides evidence that significant spillovers across regional labour markets exist. The (un)employment rate in one region is directly affected by (un)employment rate changes in other regions, but also by unobserved shocks in other regions. It was found that the spatial effects are not determined by differences in the share of the population of youth, differences in industrial structure or difference in human capital. The results of the study confirm the importance of close coordination between regions while developing labour market and regional policy measures.

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Section: Theoretical Framework Of Regional Labour Market Disparitiessupporting

confidence: 62%

Section: Theoretical Framework Of Regional Labour Market Disparitiesmentioning

confidence: 70%

Section: Theoretical Framework Of Regional Labour Market Disparitiesmentioning

confidence: 72%

Section: Theoretical Framework Of Regional Labour Market Disparitiesmentioning

confidence: 89%

Section: Theoretical Framework Of Regional Labour Market Disparitiesmentioning

confidence: 99%

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Spatial Interactions of Regional Labour Markets in Europe

Kivi

2019

SSRN Journal

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Income Inequalities in Colombia

Bonilla‐Mejía

Galvis–Aponte

Otero-Cortés

et al. 2023

Advances in Spatial Science

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Spatial Modelling of Disparity in Economic Activity and Unemployment in Southern and Oromia Regional States of Ethiopia

Gelebo¹,

Goshu²

2015

AJTAS

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Growth of productivity is the precondition to improve the living standard of people and maintain competitiveness in the globalized economy. However, wide regional deferential in labor force implies inefficiency as whole and might affect both aggregate unemployment and national output. The basic goal of this study was to model disparity in economic activity and unemployment in Southern and Oromia Regional States of Ethiopia, by incorporating spatial effects. Population and Housing Census data for 381 districts were used. The exploratory spatial data analysis, OLS regression model, and spatial econometric models were employed. The exploratory spatial data analysis results revealed that both economic activity and unemployment rates in a given district were directly affected by those of its neighbors. Economic activity and unemployment rates for males and females also spatially depended on that of neighboring districts. Spatial autocorrelations between unemployment and economic activity rates is negative. In modeling aspect, relying on specification diagnostics and measures of fit; spatial lag model was found to be the best model for modelling both economic activity and unemployment rates. The modelling results revealed that both estimates of spatial autoregressive parameters indicated the existence of spatial spillover in economic activity and unemployment rates. Spatial lag model analysis also demonstrated that average number of persons per household, crude birth rate, female and male unemployment rate were significant factors of economic activity rates. The factors, percentage of urban population, economic inactivity rate, percentage of self-employed population, percentage of unpaid family employers, and average number of persons per household were found as being factors behind disparities in unemployment rates across regions districts. In conclusion, as expected the economic activity and unemployment variables had the nature of correlation over space. It is recommended that most effective policy mix is required for stabilizing and alleviating disparity in both economic activities and unemployment of the districts considered in the regions.

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Spatial Unemployment Differentials in Colombia

Cited by 7 publications

References 32 publications

Spatial Interactions of Regional Labour Markets in Europe

Spatial Interactions of Regional Labour Markets in Europe

Income Inequalities in Colombia

Spatial Modelling of Disparity in Economic Activity and Unemployment in Southern and Oromia Regional States of Ethiopia

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