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A cross-country comparison of survey nonparticipation in the ECHP -ISER working paper-

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  • Nicoletti, Cheti
  • Peracchi, Franco

Abstract

The European Community Household Panel (ECHP) is a very ambitious project whose main purpose is to collect comparable economic, social and demographic information at the individual and the household level throughout the European Union (EU). An attractive feature of the ECHP is its comparability across countries and over time. Indeed, a great deal of effort was devoted to harmonizing the survey characteristics. Nevertheless, the design and the organization of the survey are not completely standardized across countries. This paper exploits the variability of the survey characteristics, both across countries and over time, in order to identify the effects of various features of the data collection process on survey participation. We focus attention on survey nonparticipations caused by ineligibility, contact failure or lack of cooperation. We analyze cross-country differences in participation rates trying to disentangle the role played by differences in the socio-demographic composition of the national populations and the differential characteristics of the data collection process.

Suggested Citation

  • Nicoletti, Cheti & Peracchi, Franco, 2002. "A cross-country comparison of survey nonparticipation in the ECHP -ISER working paper-," ISER Working Paper Series 2002-32, Institute for Social and Economic Research.
  • Handle: RePEc:ese:iserwp:2002-32
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    References listed on IDEAS

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    1. repec:crs:wpaper:9735 is not listed on IDEAS
    2. 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.
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    4. 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.
    5. Franco Peracchi, 2002. "The European Community Household Panel: A review," Empirical Economics, Springer, vol. 27(1), pages 63-90.
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    Cited by:

    1. Ghazala Azmat & Maia Güell & Alan Manning, 2006. "Gender Gaps in Unemployment Rates in OECD Countries," Journal of Labor Economics, University of Chicago Press, vol. 24(1), pages 1-38, January.
    2. Aizawa, Toshiaki & Helble, Matthias, 2015. "Health and Home Ownership: Findings for the Case of Japan," ADBI Working Papers 525, Asian Development Bank Institute.
    3. Luis Ayala & Mercedes Sastre, 2008. "The structure of income mobility: empirical evidence from five UE countries," Empirical Economics, Springer, vol. 35(3), pages 451-473, November.
    4. Nicoletti, Cheti & Peracchi, Franco, 2004. "The effects of income imputation on micro analyses: evidence from the ECHP," ISER Working Paper Series 2004-19, Institute for Social and Economic Research.
    5. Flannery, Darragh & O'Donoghue, Cathal, 2009. "The Determinants of Higher Education Participation in Ireland: A Micro Analysis," The Economic and Social Review, Economic and Social Studies, vol. 40(1), pages 73-107.
    6. Anna Cristina D'Addio & Tor Eriksson & Paul Frijters, 2007. "An analysis of the determinants of job satisfaction when individuals' baseline satisfaction levels may differ," Applied Economics, Taylor & Francis Journals, vol. 39(19), pages 2413-2423.
    7. Luis Ayala & Carolina Navarro & Mercedes Sastre, 2011. "Cross-country income mobility comparisons under panel attrition: the relevance of weighting schemes," Applied Economics, Taylor & Francis Journals, vol. 43(25), pages 3495-3521.
    8. COSTA Michele, 2002. "A multidimensional approach to the measurement of poverty," IRISS Working Paper Series 2002-05, IRISS at CEPS/INSTEAD.
    9. Elisabetta Santarelli, "undated". "A review of the literature on subjective poverty in Europe: a focus on data sources," Working Papers 118/13, Sapienza University of Rome, Metodi e Modelli per l'Economia, il Territorio e la Finanza MEMOTEF.
    10. Catia Nicodemo, 2009. "Selection Bias and Unobservable Heterogeneity applied at the Wage Equation of European Married Women," Working Papers wpdea0906, Department of Applied Economics at Universitat Autonoma of Barcelona.
    11. Nicoletti, Cheti & Peracchi, Franco & Foliano, Francesca, 2011. "Estimating Income Poverty in the Presence of Missing Data and Measurement Error," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 61-72.
    12. Alícia Adserà, 2011. "The interplay of employment uncertainty and education in explaining second births in Europe," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(16), pages 513-544.
    13. Arnstein Aassve & Maria A. Davia & Maria Iacovou & Stefano Mazzuco, 2007. "Does Leaving Home Make You Poor? Evidence from 13 European Countries," European Journal of Population, Springer;European Association for Population Studies, vol. 23(3), pages 315-338, October.
    14. Arnstein Aassve & Stefano Mazzuco & Letizia Mencarini, 2006. "An empirical investigation into the effect of childbearing on economic wellbeing in Europe," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 15(2), pages 209-227, August.
    15. Behr Andreas, 2006. "Comparing Estimation Strategies for Income Equations in the Presence of Panel Attrition: Empirical Results Based on the ECHP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(4), pages 361-384, August.
    16. Denise Hawkes & Ian Plewis, 2006. "Modelling non‐response in the National Child Development Study," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 479-491, July.
    17. Nicoletti, Cheti & Peracchi, Franco & Foliano, Francesca, 2007. "Estimating income poverty in the presence of measurement error and missing data problems," ISER Working Paper Series 2007-15, Institute for Social and Economic Research.

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