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Modelling inaccuracies in job-search duration data

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  • Torelli, Nicola
  • Trivellato, Ugo

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Econometrics.

Volume (Year): 59 (1993)
Issue (Month): 1-2 (September)
Pages: 187-211

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Handle: RePEc:eee:econom:v:59:y:1993:i:1-2:p:187-211

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Web page: http://www.elsevier.com/locate/jeconom

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Cited by:
  1. María Angeles Davia & Oscar D. Marcenaro Gutiérrez, 2008. "Exploring the link between employment search time and reservation," Hacienda Pública Española, IEF, vol. 186(3), pages 91-121, October.
  2. Ugo Trivellato, 1999. "Issues in the Design and Analysis of Panel Studies: A Cursory Review," Quality & Quantity: International Journal of Methodology, Springer, vol. 33(3), pages 339-351, August.
  3. Erich Battistin, 2002. "Errors in Survey Reports of Consumption Expenditures," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C4-2, International Conferences on Panel Data.
  4. Enrico D’Elia & Bianca Martelli, 2003. "Estimation of Households Income from Bracketed Income Survey Data," ISAE Working Papers 35, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
  5. Michele Lalla & Francesco Pattarin, 2001. "Unemployment Duration: An Analysis of Incomplete, Completed, and Multiple Spells in Emilia-Romagna," Quality & Quantity: International Journal of Methodology, Springer, vol. 35(2), pages 203-230, May.
  6. Erich Battistin & Raffaele Miniaci & Guglielmo Weber, 2003. "What do we learn from recall consumption data?," Temi di discussione (Economic working papers) 466, Bank of Italy, Economic Research and International Relations Area.
  7. Michele Lalla & Tommaso Minerva, 2001. "Duration models and neural networks to analyse unemployment spells," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3-4), pages 199-216.
  8. Madden, David, 2003. "Tobacco Taxes and Starting and Quitting Smoking: Does the Effect Differ by Education?," Papers HRBWP03, Economic and Social Research Institute (ESRI).
  9. Yang, Zhenlin & Tsui, Albert K., 2004. "Analytically calibrated Box-Cox percentile limits for duration and event-time models," Insurance: Mathematics and Economics, Elsevier, vol. 35(3), pages 649-677, December.
  10. Grignon, Michel, 2009. "An empirical investigation of heterogeneity in time preferences and smoking behaviors," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(5), pages 739-751, October.
  11. Hofstede, Frenkel ter & Wedel, Michel, 1996. "A Monte Carlo study into time-aggregation in continuous and discrete-time hazard models," Research Report 96B24, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  12. Ryu, Hang K. & Slottje, Daniel J., 2000. "Estimating the density of unemployment duration based on contaminated samples or small samples," Journal of Econometrics, Elsevier, vol. 95(1), pages 131-156, March.
  13. Romeo, Charles J, 1999. "Conducting Inference in Semiparametric Duration Models under Inequality Restrictions on the Shape of the Hazard Implied by Job Search Theory," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(6), pages 587-605, Nov.-Dec..
  14. R. Hujer & K.-O. Maurer & M. Wellner, 1997. "Estimating the Effect of Training on Unemployment Duration in West Germany - A Discrete Hazard-Rate Model with Instrumental Variables," Econometrics 9704001, EconWPA.
  15. Martin Forster & Andrew M. Jones, . "The role of tobacco taxes in starting and quitting smoking," Discussion Papers 00/51, Department of Economics, University of York.
  16. Kraus, Florian & Steiner, Viktor, 1995. "Modelling heaping effects in unemployment duration models - with an application to retrospective event data in the German socio-economic panel," ZEW Discussion Papers 95-09, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  17. Romeo, Charles J., 1997. "Measuring information loss due to inconsistencies in duration data from longitudinal surveys," Journal of Econometrics, Elsevier, vol. 78(2), pages 159-177, June.

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