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

Author

Listed:
  • 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)

Abstract

No abstract is available for this item.

Suggested Citation

  • Cheti Nicoletti & Franco Peracchi & Vincenzo Atella, 2005. "Survey Response and Survey Characteristics: Micro-level Evidence from the European Commission Household Panel," CEIS Research Paper 64, Tor Vergata University, CEIS.
    • Handle: RePEc:rtv:ceisrp:64
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    References listed on IDEAS

    as
    1. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    2. Franco Peracchi, 2002. "The European Community Household Panel: A review," Empirical Economics, Springer, vol. 27(1), pages 63-90.
    3. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    4. 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.
    5. 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.
    6. JM Abowd & Bruno Crépon & Francis Kramarz, 1997. "Moment Estimation with Attrition," Working Papers 97-35, Center for Research in Economics and Statistics.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Leonardo Becchetti & Pierluigi Conzo & Fabio Pisani, 2018. "Education and health in Europe," Applied Economics, Taylor & Francis Journals, vol. 50(12), pages 1362-1377, March.
    2. Crossley, Thomas F. & Fisher, Paul & Low, Hamish, 2021. "The heterogeneous and regressive consequences of COVID-19: Evidence from high quality panel data," Journal of Public Economics, Elsevier, vol. 193(C).
    3. Becchetti, Leonardo & Conzo, Pierluigi & Salustri, Francesco, 2017. "The impact of health expenditure on the number of chronic diseases," Health Policy, Elsevier, vol. 121(9), pages 955-962.
    4. Eric J. Tchetgen Tchetgen & Kathleen E. Wirth, 2017. "A general instrumental variable framework for regression analysis with outcome missing not at random," Biometrics, The International Biometric Society, vol. 73(4), pages 1123-1131, December.
    5. 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.
    6. Adrian Chadi, 2019. "Dissatisfied with life or with being interviewed? Happiness and the motivation to participate in a survey," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 53(3), pages 519-553, October.
    7. Peter Lugtig, 2014. "Panel Attrition," Sociological Methods & Research, , vol. 43(4), pages 699-723, November.
    8. Brown, Sarah & Harris, Mark N. & Srivastava, Preety & Taylor, Karl, 2018. "Mental Health and Reporting Bias: Analysis of the GHQ-12," IZA Discussion Papers 11771, Institute of Labor Economics (IZA).
    9. Annamaria Bianchi & Silvia Biffignandi, 2019. "Social Indicators to Explain Response in Longitudinal Studies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(3), pages 931-957, February.
    10. Jorik Vergauwen & Jonas Wood & David De Wachter & Karel Neels, 2015. "Quality of demographic data in GGS Wave 1," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(24), pages 723-774.
    11. Andrew M. Jones & Xander Koolman & Nigel Rice, 2006. "Health‐related non‐response in the British Household Panel Survey and European Community Household Panel: using inverse‐probability‐weighted estimators in non‐linear models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 543-569, July.
    12. María Angeles Davia & Oscar D. Marcenaro Gutiérrez, 2008. "Exploring the link between employment search time and reservation," Hacienda Pública Española / Review of Public Economics, IEF, vol. 186(3), pages 91-121, October.
    13. Sarah Brown & Mark N. Harris & Christopher Spencer & Karl Taylor, 2024. "Financial Expectations and Household Consumption: Does Middle‐Inflation Matter?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(4), pages 741-768, June.
    14. Hanly, Mark & Clarke, Paul & Steele, Fiona, 2016. "Sequence analysis of call record data: exploring the role of different cost settings," LSE Research Online Documents on Economics 64896, London School of Economics and Political Science, LSE Library.

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    More about this item

    Keywords

    Panel data; survey response; bivariate probit model;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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