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Survey Response and Survey Characteristics: Micro-level Evidence from the European Commission Household Panel

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Author Info

  • Cheti Nicoletti

    () (University of Essex - Institute for Social and Economic Research (ISER))

  • Franco Peracchi

    () (University of Rome II - Centre for International Studies on Economic Growth (CEIS))

  • Vincenzo Atella

    () (University of Rome II - Faculty of Economics)

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File URL: ftp://www.ceistorvergata.it/repec/rpaper/No-64-Nicoletti-Peracchi.pdf
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Bibliographic Info

Paper provided by Tor Vergata University, CEIS in its series CEIS Research Paper with number 64.

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Length: This paper presents micro-level evidence on the role of the socio-demographic characteristics of the population and the characteristics of the data collection process as predictors of survey response. Our evidence is based on the public use files of the European Community Household Panel (ECHP), a longitudinal household survey covering the countries of the European Union, whose attractive feature is the high level of comparability across countries and overtime. We model the response process as the outcome of two sequential events: (i) contact between the interviewer and an eligible interviewee, and (ii) cooperation of the interviewee. Our model allows for dependence between the ease of contact and the propensity to cooperate, taking into account the censoring problem caused by the fact that we observe whether a person is a respondent only if she has been contacted.
Date of creation: 04 Feb 2005
Date of revision:
Handle: RePEc:rtv:ceisrp:64

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Postal: CEIS - Centre for Economic and International Studies - Faculty of Economics - University of Rome "Tor Vergata" - Via Columbia, 2 00133 Roma
Phone: +390672595601
Fax: +39062020687
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Web page: http://www.ceistorvergata.it
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Postal: CEIS - Centre for Economic and International Studies - Faculty of Economics - University of Rome "Tor Vergata" - Via Columbia, 2 00133 Roma
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Web: http://www.ceistorvergata.it

Related research

Keywords: Panel data; survey response; bivariate probit model;

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References

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  1. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
  2. J. Fitzgerald & P. Gottschalk & R. Moffitt, . "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Institute for Research on Poverty Discussion Papers 1156-98, University of Wisconsin Institute for Research on Poverty.
  3. Pamela Campanelli & Colm O'Muircheartaigh, 2002. "The Importance of Experimental Control in Testing the Impact of Interviewer Continuity on Panel Survey Nonresponse," Quality & Quantity: International Journal of Methodology, Springer, vol. 36(2), pages 129-144, May.
  4. Franco Peracchi, 2002. "The European Community Household Panel: A review," Empirical Economics, Springer, vol. 27(1), pages 63-90.
  5. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  6. John M. Abowd & Bruno Crepon & Francis Kramarz, 1997. "Moment Estimation with Attrition," NBER Technical Working Papers 0214, National Bureau of Economic Research, Inc.
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Cited by:
  1. María A. Davia & Óscar D. Marcenaro-Gutiérrez, 2007. "Exploring the link between employment search time and reservation wages in Southern Europe," Economic Working Papers at Centro de Estudios Andaluces E2007/13, Centro de Estudios Andaluces.
  2. 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.

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