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Statistical models for measuring job satisfaction

  • Romina Gambacorta

    ()

    (Bank of Italy)

  • Maria Iannario

    ()

    (University of Naples Federico II)

In this paper we present two statistical approaches for discussing and modelling job satisfaction based on data collected in the Survey on Household Income and Wealth (SHIW) conducted by the Bank of Italy. In particular, we compare two different classes of model for ordinal data: the Ordinal Probit Model and the more recent CUB model. The aim is to establish common outcomes and differences in the estimated patterns of global job satisfaction, but also to stress the potential for curbing the effects of measurement errors on estimates by using CUB models, allowing us to control for the effect of uncertainty and shelter choices in the response process.

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File URL: http://www.bancaditalia.it/pubblicazioni/temi-discussione/2012/2012-0852/en_tema_852.pdf
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Paper provided by Bank of Italy, Economic Research and International Relations Area in its series Temi di discussione (Economic working papers) with number 852.

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Date of creation: Feb 2012
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Handle: RePEc:bdi:wptemi:td_852_12
Contact details of provider: Postal: Via Nazionale, 91 - 00184 Roma
Web page: http://www.bancaditalia.it

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  1. Francesca Di Iorio & Maria Iannario, 2012. "Residual diagnostics for interpreting CUB models," Statistica, Department of Statistics, University of Bologna, vol. 72(2), pages 163-172.
  2. Blanchflower, David G. & Oswald, Andrew J., 2001. "Well-Being Over Time in Britain and the USA," The Warwick Economics Research Paper Series (TWERPS) 616, University of Warwick, Department of Economics.
  3. Andrew E. Clark and Andrew J. Oswald, . "Satisfaction and Comparison Income," Economics Discussion Papers 419, University of Essex, Department of Economics.
  4. Claudia Biancotti & Giovanni D'Alessio & Andrea Neri, 2008. "Measurement Error In The Bank Of Italy'S Survey Of Household Income And Wealth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(3), pages 466-493, 09.
  5. Fischer, Justina AV & Sousa-Poza, Alfonso, 2007. "Does Job Satisfaction Improve The Health Of Workers? New Evidence Using Panel Data And Objective Measures Of Health," SSE/EFI Working Paper Series in Economics and Finance 687, Stockholm School of Economics.
  6. repec:cup:cbooks:9780521801669 is not listed on IDEAS
  7. Thomas Corneli├čen & John S. Heywood & Uwe Jirjahn, 2008. "Performance Pay, Risk Attitudes and Job Satisfaction," SOEPpapers on Multidisciplinary Panel Data Research 136, DIW Berlin, The German Socio-Economic Panel (SOEP).
  8. Ivan Faiella, 2008. "Accounting for sampling design in the SHIW," Temi di discussione (Economic working papers) 662, Bank of Italy, Economic Research and International Relations Area.
  9. Becker, William E. & Kennedy, Peter E., 1992. "A Graphical Exposition of the Ordered Probit," Econometric Theory, Cambridge University Press, vol. 8(01), pages 127-131, March.
  10. Gabriella Conti & Stephen Pudney, 2011. "Survey Design and the Analysis of Satisfaction," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 1087-1093, August.
  11. Andries de Grip & Inge Sieben & Fred Stevens, 2009. "Are More Competent Workers More Satisfied?," LABOUR, CEIS, vol. 23(4), pages 589-607, December.
  12. Paolo Ghinetti, 2007. "The Public-Private Job Satisfaction Differential in Italy," LABOUR, CEIS, vol. 21(2), pages 361-388, 06.
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