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Explaining interviewee contact and co-operation in the British and German Household Panels

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  • Nicoletti, Cheti
  • Buck, Nick

Abstract

This paper investigates the factors affecting the contact and the co-operation of the interviewees in the British Household Panel Survey, in the German Socio Economic Panel Survey and in the European Community Household Panel for the UK and for Germany. The coexistence of two independent panel surveys in the UK and in Germany gives the opportunity to investigate if differentials in the contact and co-operation rates are due to differences in the data collection, personal and household characteristics and/or differences in their impact between countries or between surveys in a same country. If the differentials are explained mainly by differences in the characteristics then it is possible to reduce differentials just by harmonising the data collection. If instead differentials are attributable to heterogeneity in the response behaviour across countries or surveys in a same country, then the harmonisation of the data collection process has a more ambiguous effect. We model the response at individual level as the occurrence of two sequential events: the contact and the co-operation. We explain the contact and the co-operation probabilities in wave t using a set of individual and household characteristics observed in wave t-1, a set of variables characterising the collection process in wave t and t-1, and an interviewer random effect. Moreover, we investigate differences between surveys in the refusal and in the failed contact probabilities by trying to disentangle the part due to differences in the distribution of the explanatory variables and the part due to differences in the model coefficients.

Suggested Citation

  • Nicoletti, Cheti & Buck, Nick, 2004. "Explaining interviewee contact and co-operation in the British and German Household Panels," ISER Working Paper Series 2004-06, Institute for Social and Economic Research.
    • Handle: RePEc:ese:iserwp:2004-06
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    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. Wiji Arulampalam, 1999. "A Note on Estimated Coefficients in Random Effects Probit Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(4), pages 597-602, November.
    3. Robinson, Peter M, 1982. "On the Asymptotic Properties of Estimators of Models Containing Limited Dependent Variables," Econometrica, Econometric Society, vol. 50(1), pages 27-41, January.
    4. Franco Peracchi, 2002. "The European Community Household Panel: A review," Empirical Economics, Springer, vol. 27(1), pages 63-90.
    5. 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.
    6. Ridder, Geert, 1992. "An empirical evaluation of some models for non-random attrition in panel data," Structural Change and Economic Dynamics, Elsevier, vol. 3(2), pages 337-355, December.
    7. Hausman, Jerry A & Wise, David A, 1979. "Attrition Bias in Experimental and Panel Data: The Gary Income Maintenance Experiment," Econometrica, Econometric Society, vol. 47(2), pages 455-473, March.
    8. G. S. Maddala, 1987. "Limited Dependent Variable Models Using Panel Data," Journal of Human Resources, University of Wisconsin Press, vol. 22(3), pages 307-338.
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    Cited by:

    1. Wuyts Celine & Loosveldt Geert, 2020. "Measurement of Interviewer Workload within the Survey and an Exploration of Workload Effects on Interviewers’ Field Efforts and Performance," Journal of Official Statistics, Sciendo, vol. 36(3), pages 561-588, September.
    2. Corinna Kleinert & Bernhard Christoph & Michael Ruland, 2021. "Experimental Evidence on Immediate and Long-term Consequences of Test-induced Respondent Burden for Panel Attrition," Sociological Methods & Research, , vol. 50(4), pages 1552-1583, November.
    3. Sadig, Husam, 2014. "Weighting for non-monotonic response pattern in longitudinal surveys," ISER Working Paper Series 2014-34, Institute for Social and Economic Research.
    4. Isabella Buber-Ennser, 2014. "Attrition in the Austrian Generations and Gender Survey," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(16), pages 459-496.
    5. G. Blom, Annelies, 2009. "Explaining cross-country differences in contact rates," ISER Working Paper Series 2009-08, Institute for Social and Economic Research.
    6. Kleinert, Corinna & Ruland, Michael & Trahms, Annette, 2013. "Bias in einem komplexen Surveydesign : Ausfallprozesse und Selektivität in der IAB-Befragung ALWA," FDZ Methodenreport 201302_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Lynn, Peter & Jäckle, Annette & G. Blom, Annelies, 2008. "Understanding cross-national differences in unit non-response: the role of contact data," ISER Working Paper Series 2008-01, Institute for Social and Economic Research.
    8. Sadig, Husam, 2014. "Unknown eligibility whilst weighting for non-response: the puzzle of who has died and who is still alive?," ISER Working Paper Series 2014-35, Institute for Social and Economic Research.
    9. repec:iab:iabfme:201302(de is not listed on IDEAS
    10. Nicole Watson & Mark Wooden, 2011. "Re-engaging with Survey Non-respondents: The BHPS, SOEP and HILDA Survey Experience," Melbourne Institute Working Paper Series wp2011n02, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    11. Pforr, Klaus & Blohm, Michael & Blom, Annelies G. & Erdel, Barbara & Felderer, Barbara & Fräßdorf, Mathis & Hajek, Kristin & Helmschrott, Susanne & Kleinert, Corinna & Koch, Achim & Krieger, Ulrich & , 2015. "Are Incentive Effects on Response Rates and Nonresponse Bias in Large-scale, Face-to-face Surveys Generalizable to Germany? Evidence from Ten Experiments," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 79(3), pages 740-768.
    12. 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.
    13. Sadig, Husam, 2014. "Non-response subgroup-tailored weighting: the choice of variables and the set of respondents used to estimate the weighting model," ISER Working Paper Series 2014-36, Institute for Social and Economic Research.

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