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Statistical evaluation of spatial concentration of unemployment by gender

Author

Listed:
  • Jaba, Elisabeta
  • Balan, Christiana
  • Roman, Mihai
  • Roman, Monica

Abstract

This paper studies the spatial distribution of unemployment by gender, in the counties of Romania, in 2008.The Lorenz curve and Gini index are used to identify a pattern of spatial concentration of unemployment, differentiated by gender. Evaluation of gender differences in unemployment spatial concentration model shows significant differences. There is a greater spatial concentration of unemployment for female population. Based on results of grouping counties by cluster analysis applied for unemployment rate, one could explain the gender differences in spatial concentration correlated with spatial distribution of the workforce and the characteristics of territorial development of counties in Romania.

Suggested Citation

  • Jaba, Elisabeta & Balan, Christiana & Roman, Mihai & Roman, Monica, 2010. "Statistical evaluation of spatial concentration of unemployment by gender," MPRA Paper 25161, University Library of Munich, Germany, revised May 2010.
  • Handle: RePEc:pra:mprapa:25161
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    References listed on IDEAS

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    1. Brulhart, Marius & Traeger, Rolf, 2005. "An account of geographic concentration patterns in Europe," Regional Science and Urban Economics, Elsevier, vol. 35(6), pages 597-624, November.
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    3. Olga Alonso-Villar & Coral Del R�o, 2008. "Geographical Concentration of Unemployment: A Male-Female Comparison in Spain," Regional Studies, Taylor & Francis Journals, vol. 42(3), pages 401-412, April.
    4. Jolliffe, Dean & Campos, Nauro F., 2005. "Does market liberalisation reduce gender discrimination? Econometric evidence from Hungary, 1986-1998," Labour Economics, Elsevier, vol. 12(1), pages 1-22, February.
    5. Karl Aiginger & Esteban Rossi-Hansberg, 2006. "Specialization and concentration: a note on theory and evidence," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 33(4), pages 255-266, September.
    6. Hamrick, Karen S., 1997. "Rural Labor Markets Often Lead Urban Markets in Recessions and Expansions," Rural America/ Rural Development Perspectives, United States Department of Agriculture, Economic Research Service, vol. 12(3), June.
    7. Roman, Monica, 2008. "The efficiency analysis applied for the evaluation of labour market policies: Study case for Romania," MPRA Paper 20332, University Library of Munich, Germany, revised Nov 2008.
    8. Karen Leppel, 2009. "Labour Force Status and Sexual Orientation," Economica, London School of Economics and Political Science, vol. 76(301), pages 197-207, February.
    9. Frederiksen, Anders, 2008. "Gender differences in job separation rates and employment stability: New evidence from employer-employee data," Labour Economics, Elsevier, vol. 15(5), pages 915-937, October.
    10. Jaba, Elisabeta & Balan, Christiana & Roman, Monica & Viorica, Daniela & Roman, Mihai, 2008. "Employment rate prognosis on the basis of the development environment trend displayed by years-clusters," MPRA Paper 20337, University Library of Munich, Germany, revised Sep 2008.
    11. Zizi Goschin & Daniela-L. Constantin & Monica Roman & Bogdan Ileanu, 2008. "The current state and dynamics of regional disparities in Romania," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 2(2), pages 80-105, December.
    12. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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    Cited by:

    1. Ali Sadiq Mohommed BAGER & Bahr Kadhim MOHAMMED & Hajem Ati Daham & Sadiq AL-HUSSEINY, 2019. "The Stepwise Regression Model For Study The Unemployment Rate In Iraq," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 811-815, November.
    2. Ali BAGER & Monica ROMAN & Meshal ALGELIDH & Bahr MOHAMMED, 2017. "Addressing Multicollinearity In Regression Models: A Ridge Regression Application," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 6(1), pages 30-45, JULY.
    3. Simionescu Mihaela & Naroș Maria-Simona, 2019. "The Unemployment of Highly Educated People in Romania. A Panel VAR Approach," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 29(3), pages 20-37, September.

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    More about this item

    Keywords

    unemployment; spatial concentration; gender discrepancies; cluster analysis; regional development; Romania;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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