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Modeling male and female employment policy in Greece from local data

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  • Prodromídis, Pródromos-Ioánnis K.

Abstract

The article analyzes the population shares of employed, unemployed and other men and women by utilizing the 2001 Greek Census data collected at the municipal level. It departs from other studies on the subject by (a) considering not one but all economic activities simultaneously, (b) trying to ameliorate through space the common, yet often overlooked, regression misspecification problem, and (c) resorting to the use of fresh spatial arguments, as opposed to conventional regional or sub-regional regressors. In particular, the demographic, educational, and other conventional, available independent variables are supplemented with territorial arguments constructed from the inter-municipal functional linkages and the patterns of the residuals. By isolating the effects of the spatial and non-spatial factors driving economic activity, the article brings to light sub-regional and cross-regional patterns that might otherwise go undetected, and provides a better understanding of the internal heterogeneity of the country. This facilitates the formulation of (i) better-targeted employment and unemployment policy interventions aiming to treat disparities at the local and micro-regional level, alongside (ii) broader, nation-wide interventions.

Suggested Citation

  • Prodromídis, Pródromos-Ioánnis K., 2012. "Modeling male and female employment policy in Greece from local data," Economic Modelling, Elsevier, vol. 29(3), pages 823-839.
  • Handle: RePEc:eee:ecmode:v:29:y:2012:i:3:p:823-839
    DOI: 10.1016/j.econmod.2011.09.004
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    Cited by:

    1. López-Hernández, Fernando A., 2013. "Second-order polynomial spatial error model. Global and local spatial dependence in unemployment in Andalusia," Economic Modelling, Elsevier, vol. 33(C), pages 270-279.

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    More about this item

    Keywords

    Disaggregated data; Sub-regional workforce involvement; Delineation of micro-regional policy areas; Treating omitted variable bias;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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