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Causal linkages between work and life satisfaction and their determinants in a structural VAR approach

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  • Alex Coad
  • Martin Binder

Abstract

Work and life satisfaction depend on a number of pecuniary and non-pecuniary factors at the workplace and determine these in turn. We analyze these causal linkages using a structural vector autoregression approach for a German sample of the working populace from 1984-2008.

Suggested Citation

  • Alex Coad & Martin Binder, 2013. "Causal linkages between work and life satisfaction and their determinants in a structural VAR approach," Papers on Economics and Evolution 2013-07, Philipps University Marburg, Department of Geography.
  • Handle: RePEc:esi:evopap:2013-07
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    References listed on IDEAS

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    12. Vanessa Gash & Antje Mertens & Laura Romeu Gordo, 2010. "Women between Part-Time and Full-Time Work: The Influence of Changing Hours of Work on Happiness and Life-Satisfaction," SOEPpapers on Multidisciplinary Panel Data Research 268, DIW Berlin, The German Socio-Economic Panel (SOEP).
    13. Martin Binder & Alex Coad, 2016. "How Satisfied are the Self-Employed? A Life Domain View," Journal of Happiness Studies, Springer, vol. 17(4), pages 1409-1433, August.
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    Citations

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    Cited by:

    1. Martin Binder, 2017. "Entrepreneurial Success and Subjective Well-Being: Worries about the Business Explain One's Well-Being Loss from Self-Employment," SOEPpapers on Multidisciplinary Panel Data Research 947, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Thomas Brenner & Matthias Duschl, 2015. "Causal dynamic effects in regional systems of technological activities: a SVAR approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 103-130, October.
    3. Ingemar Johansson Sevä & Stig Vinberg & Mikael Nordenmark & Mattias Strandh, 2016. "Subjective well-being among the self-employed in Europe: macroeconomy, gender and immigrant status," Small Business Economics, Springer, vol. 46(2), pages 239-253, February.
    4. Kézdi, Gábor & Mátyás, László & Balázsi, László & Divényi, János Károly, 2014. "A közgazdasági adatforradalom és a panelökonometria
      [The revolution in economic data and panel econometrics]
      ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1319-1340.
    5. Thomas Brenner & Marco Capasso & Matthias Duschl & Koen Frenken & Tania Treibich, 2015. "Causal Relations between Knowledge-Intensive Business Services and Regional Employment Growth," Working Papers on Innovation and Space 2015-04, Philipps University Marburg, Department of Geography.
    6. repec:spr:soinre:v:132:y:2017:i:1:d:10.1007_s11205-015-1126-z is not listed on IDEAS
    7. Alexander Coad & Nicola Grassano, 2016. "Who’s doing who? Growth of sales, employment, assets, profits and R&D entangled in a curious five-way love triangle," JRC Working Papers on Corporate R&D and Innovation 2016-03, Joint Research Centre (Seville site).
    8. Martin Binder & Alex Coad, 2016. "How Satisfied are the Self-Employed? A Life Domain View," Journal of Happiness Studies, Springer, vol. 17(4), pages 1409-1433, August.
    9. repec:oup:indcch:v:26:y:2017:i:4:p:537-554. is not listed on IDEAS
    10. Hessels, Jolanda & Naudé, Wim, 2017. "The Intersection of the Fields of Entrepreneurship and Development Economics: A Review towards a New View," IZA Discussion Papers 11103, Institute for the Study of Labor (IZA).

    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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