IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

Statistical models for measuring job satisfaction

Author Info

Listed author(s):
  • Romina Gambacorta

    ()

    (Bank of Italy)

  • Maria Iannario

    ()

    (University of Naples Federico II)

Abstract

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.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.bancaditalia.it/pubblicazioni/temi-discussione/2012/2012-0852/en_tema_852.pdf
Download Restriction: no

Paper provided by Bank of Italy, Economic Research and International Relations Area in its series Temi di discussione (Economic working papers) with number 852.

as
in new window

Length:
Date of creation: Feb 2012
Handle: RePEc:bdi:wptemi:td_852_12
Contact details of provider: Postal:
Via Nazionale, 91 - 00184 Roma

Web page: http://www.bancaditalia.it

More information through EDIRC

Keywords: job satisfaction; ordinal data modelling; CUB models;

Find related papers by JEL classification:

  • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
  • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  1. Justina A. V. Fischer & Alfonso Sousa-Poza, 2009. "Does job satisfaction improve the health of workers? New evidence using panel data and objective measures of health," Health Economics, John Wiley & Sons, Ltd., vol. 18(1), pages 71-89.
  2. Blanchflower, David G. & Oswald, Andrew J., 2004. "Well-being over time in Britain and the USA," Journal of Public Economics, Elsevier, vol. 88(7-8), pages 1359-1386, July.
  3. Andries de Grip & Inge Sieben & Fred Stevens, 2009. "Are More Competent Workers More Satisfied?," LABOUR, CEIS, vol. 23(4), pages 589-607, December.
  4. Cornelissen, Thomas & Heywood, John S. & Jirjahn, Uwe, 2011. "Performance pay, risk attitudes and job satisfaction," Labour Economics, Elsevier, vol. 18(2), pages 229-239, April.
  5. Clark, Andrew E. & Oswald, Andrew J., 1996. "Satisfaction and comparison income," Journal of Public Economics, Elsevier, vol. 61(3), pages 359-381, September.
  6. 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.
  7. D'Elia, Angela & Piccolo, Domenico, 2005. "A mixture model for preferences data analysis," Computational Statistics & Data Analysis, Elsevier, vol. 49(3), pages 917-934, June.
  8. 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.
  9. 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.
  10. 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.
  11. Paolo Ghinetti, 2007. "The Public-Private Job Satisfaction Differential in Italy," LABOUR, CEIS, vol. 21(2), pages 361-388, 06.
  12. 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.
  13. Franses,Philip Hans & Paap,Richard, 2010. "Quantitative Models in Marketing Research," Cambridge Books, Cambridge University Press, number 9780521143653, November.
Full references (including those not matched with items on IDEAS)

The CitEc project has not yet found citations to this item.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Access and download statistics

When requesting a correction, please mention this item's handle: RePEc:bdi:wptemi:td_852_12. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.