The Impact of Human Capital on Regional Labor Productivity in Europe

Fischer, Manfred M.; Bartkowska, Monika; Riedl, Aleksandra; Sardadvar, Sascha; Kunnert, Andrea

doi:10.2139/ssrn.1304654

Cited by 10 publications

(7 citation statements)

References 31 publications

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“…Baccouche et al (2008) show for example that FDI spillovers can only be beneficial for companies with high absorption capacity, otherwise its effect remains negative. Similar results for the human capital are also found by Fischer et al (2009) using an aggregated regional data (198 European regions). Fischer et al (2009) use a spatial Durbin Model to estimate the direct and indirect impacts of human capital on regional labor productivity.…”

Section: The Conditional Maximum Likelihood Peer Group Effects Estimatorsupporting

confidence: 83%

“…Similar results for the human capital are also found by Fischer et al (2009) using an aggregated regional data (198 European regions). Fischer et al (2009) use a spatial Durbin Model to estimate the direct and indirect impacts of human capital on regional labor productivity. 9 They show that the indirect impact of human capital is significantly negative, while the average total impact (direct impact + indirect impact) is not different from zero.…”

Section: The Conditional Maximum Likelihood Peer Group Effects Estimatorsupporting

confidence: 83%

“…According toFischer et al (2009) "a change in the human capital level in region (observation) i will not only exert a direct effect on the productivity level of this region, but also an indirect effect on productivity levels in other regions i = j".…”

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confidence: 99%

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A note on MAR and Jacobs externalities in the Tunisian manufacturing industries

Amara

Lahga²

2014

Lett Spat Resour Sci

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The aim of this paper is to identify the effect of neighborhood peer groups on firm's performance, approximated by the value added per worker. More specifically, we distinguish between the effects of own firm's characteristics (direct effects) and mean characteristics of their neighbors (endogenous and contextual effects) on its output level. Using the Conditional Maximum Likelihood estimator proposed by Lee (J Econom, 140(2):333-374, 2007) on Tunisian data, we show that the average value added per worker of peers affect significantly individual firm's performance. In addition, contextual peer effects are also significant. The multiplier effect on labor productivity varies between 1.6 and 2.03 according to the reference group definition.

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Section: The Conditional Maximum Likelihood Peer Group Effects Estimatorsupporting

confidence: 83%

Section: The Conditional Maximum Likelihood Peer Group Effects Estimatorsupporting

confidence: 83%

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A note on MAR and Jacobs externalities in the Tunisian manufacturing industries

Amara

Lahga²

2014

Lett Spat Resour Sci

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“…Based on the common factor restriction mentioned above, parameter restriction γ =− ρδ and μ =− ρβ should fail in the presence of omitted variables, rejecting the SEM specification. This restriction can be tested by first estimating a SDM as the unrestricted version of SEM, and then carrying out a likelihood ratio test of the spatial common factors (Burridge 1981; Fischer, et al. 2009).…”

Section: Estimation and Resultsmentioning

confidence: 99%

Self‐employment and local economic performance: Evidence from US counties

Rupasingha¹,

Goetz²

2013

Papers in Regional Science

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This study explores the relationship between self-employment and income growth, employment growth, and change in poverty in metro and non-metro areas in the United States using county-level panel data. We investigate the impact of the relative size of the selfemployment sector measured by the share of non-farm proprietorships (NFPs) in total full and part-time employment on three key economic performance indicators. We first estimate an income growth model to analyse the effects of self-employment on income growth. Then we investigate the independent effects of self-employment on employment growth and changes in family poverty rates. Our results indicate that higher self-employment rates are associated with statistically significant increases over time in income and employment growth, and reductions in poverty rates in non-metro counties. We find similar effects on metro county income and employment, but not on poverty dynamics. JEL classifications: J21, L26, O18, R11

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“…In this study we follow Fischer et al. () and measure human capital in terms of educational attainment based on data for the active population aged 15 years and older that attained the level of tertiary education, as defined by the UNESCO Institute for Statistics classes five and six. This variable is clearly imperfect: it completely ignores primary and secondary education, and on‐the‐job training, and does not account for the quality of education.…”

Section: Empirical Club Assignmentsmentioning

confidence: 99%

A Bayesian space‐time approach to identifying and interpreting regional convergence clubs in Europe

Fischer

LeSage

2015

Papers in Regional Science

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The Impact of Human Capital on Regional Labor Productivity in Europe

Cited by 10 publications

References 31 publications

A note on MAR and Jacobs externalities in the Tunisian manufacturing industries

A note on MAR and Jacobs externalities in the Tunisian manufacturing industries

Self‐employment and local economic performance: Evidence from US counties

A Bayesian space‐time approach to identifying and interpreting regional convergence clubs in Europe

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