IDEAS home Printed from https://ideas.repec.org/p/ese/iserwp/2014-36.html
   My bibliography  Save this paper

Non-response subgroup-tailored weighting: the choice of variables and the set of respondents used to estimate the weighting model

Author

Listed:
  • Sadig, Husam

Abstract

The use of the logistic regression model to predict the probability of response and create non-response weights is classic. In most cases, the model is estimated using socio-demographic variables and all units in the selected sample. However, substantive analyses are often restricted to a sub-group of the sample. This paper investigates whether weights are more effective if they are designed using variables correlated with the response propensity in the sub-group in question and sample units in the selected sub-group using data from the British Household Panel Survey (BHPS). The findings demonstrate that, for some estimates, the tailored weights results in significantly different results than the usual weights.

Suggested Citation

  • 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.
    • Handle: RePEc:ese:iserwp:2014-36
    as

    Download full text from publisher

    File URL: https://www.iser.essex.ac.uk/wp-content/uploads/files/working-papers/iser/2014-36.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cheti Nicoletti & Franco Peracchi, 2005. "Survey response and survey characteristics: microlevel evidence from the European Community Household Panel," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(4), pages 763-781, November.
    2. 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.
    3. Becketti, Sean & Gould, William & Lillard, Lee & Welch, Finis, 1988. "The Panel Study of Income Dynamics after Fourteen Years: An Evaluatio n," Journal of Labor Economics, University of Chicago Press, vol. 6(4), pages 472-492, October.
    4. 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.
    5. Noah Uhrig, S.C., 2008. "The nature and causes of attrition in the British Household Panel Study," ISER Working Paper Series 2008-05, Institute for Social and Economic Research.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Sadig, Husam, 2014. "Weighting for non-monotonic response pattern in longitudinal surveys," ISER Working Paper Series 2014-34, Institute for Social and Economic Research.
    3. 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.
    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. 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.
    6. Peter Lugtig, 2014. "Panel Attrition," Sociological Methods & Research, , vol. 43(4), pages 699-723, November.
    7. 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.
    8. Patrick Richard & Regine Walker & Pierre Alexandre, 2018. "The burden of out of pocket costs and medical debt faced by households with chronic health conditions in the United States," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-13, June.
    9. Michael Fertig & Stefanie Schurer, 2007. "Earnings Assimilation of Immigrants in Germany: The Importance of Heterogeneity and Attrition Bias," SOEPpapers on Multidisciplinary Panel Data Research 30, DIW Berlin, The German Socio-Economic Panel (SOEP).
    10. Magali Mazuy & Nicolas Razafindratsima & Elise de la Rochebrochard, 2005. "Déperdition dans l'enquête "Intentions de fécondité"," Working Papers 129, Institut National d'Études Démographiques (INED).
    11. Petrou, Stavros & Kupek, Emil, 2010. "Poverty and childhood undernutrition in developing countries: A multi-national cohort study," Social Science & Medicine, Elsevier, vol. 71(7), pages 1366-1373, October.
    12. 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).
    13. Heath Henderson & Leonardo Corral & Eric Simning & Paul Winters, 2015. "Land Accumulation Dynamics in Developing Country Agriculture," Journal of Development Studies, Taylor & Francis Journals, vol. 51(6), pages 743-761, June.
    14. Banks, James & Blundell, Richard & Oldfield, Zoë & Smith, James P., 2010. "Housing Mobility and Downsizing at Older Ages in Britain and the United States," IZA Discussion Papers 5168, Institute of Labor Economics (IZA).
    15. Thomas, Duncan & Witoelar, Firman & Frankenberg, Elizabeth & Sikoki, Bondan & Strauss, John & Sumantri, Cecep & Suriastini, Wayan, 2012. "Cutting the costs of attrition: Results from the Indonesia Family Life Survey," Journal of Development Economics, Elsevier, vol. 98(1), pages 108-123.
    16. Switek, Maggie, 2012. "Internal Migration and Life Satisfaction: Well-Being Effects of Moving as a Young Adult," IZA Discussion Papers 7016, Institute of Labor Economics (IZA).
    17. Godard, Mathilde, 2016. "Gaining weight through retirement? Results from the SHARE survey," Journal of Health Economics, Elsevier, vol. 45(C), pages 27-46.
    18. Weili Ding & Steven F. Lehrer, 2010. "Estimating Treatment Effects from Contaminated Multiperiod Education Experiments: The Dynamic Impacts of Class Size Reductions," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 31-42, February.
    19. Hryshko, Dmytro & Manovskii, Iourii, 2022. "How much consumption insurance in the U.S.?," Journal of Monetary Economics, Elsevier, vol. 130(C), pages 17-33.
    20. Juergen Jung, 2022. "Estimating transition probabilities between health states using US longitudinal survey data," Empirical Economics, Springer, vol. 63(2), pages 901-943, August.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ese:iserwp:2014-36. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jonathan Nears (email available below). General contact details of provider: https://edirc.repec.org/data/rcessuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.