IDEAS home Printed from https://ideas.repec.org/a/bla/istatr/v81y2013i2p270-288.html
   My bibliography  Save this article

On the Use of Auxiliary and Paradata for Dealing With Non-sampling Errors in Household Surveys

Author

Listed:
  • Li-Chun Zhang
  • Ib Thomsen
  • Øyvin Kleven

Abstract

No abstract is available for this item.

Suggested Citation

  • Li-Chun Zhang & Ib Thomsen & Øyvin Kleven, 2013. "On the Use of Auxiliary and Paradata for Dealing With Non-sampling Errors in Household Surveys," International Statistical Review, International Statistical Institute, vol. 81(2), pages 270-288, August.
    • Handle: RePEc:bla:istatr:v:81:y:2013:i:2:p:270-288
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/insr.12009
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Schouten, Barry & Shlomo, Natalie & Skinner, Chris J., 2011. "Indicators for monitoring and improving representativeness of response," LSE Research Online Documents on Economics 39121, London School of Economics and Political Science, LSE Library.
    2. Robert M. Groves & Steven G. Heeringa, 2006. "Responsive design for household surveys: tools for actively controlling survey errors and costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 439-457, July.
    3. Li‐Chun Zhang, 2012. "Topics of statistical theory for register‐based statistics and data integration," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 66(1), pages 41-63, February.
    4. repec:mpr:mprres:4780 is not listed on IDEAS
    5. Gong Tang, 2003. "Analysis of multivariate missing data with nonignorable nonresponse," Biometrika, Biometrika Trust, vol. 90(4), pages 747-764, December.
    6. Barry Schouten & Jelke Bethlehem & Koen Beullens & Øyvin Kleven & Geert Loosveldt & Annemieke Luiten & Katja Rutar & Natalie Shlomo & Chris Skinner, 2012. "Evaluating, Comparing, Monitoring, and Improving Representativeness of Survey Response Through R-Indicators and Partial R-Indicators," International Statistical Review, International Statistical Institute, vol. 80(3), pages 382-399, December.
    7. Peress, Michael, 2010. "Correcting for Survey Nonresponse Using Variable Response Propensity," Journal of the American Statistical Association, American Statistical Association, vol. 105(492), pages 1418-1430.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nguyen Nancy Duong & Zhang Li-Chun, 2020. "An Appraisal of Common Reweighting Methods for Nonresponse in Household Surveys Based on the Norwegian Labour Force Survey and the Statistics on Income and Living Conditions Survey," Journal of Official Statistics, Sciendo, vol. 36(1), pages 151-172, March.
    2. Vandenplas Caroline & Loosveldt Geert & Beullens Koen, 2017. "Fieldwork Monitoring for the European Social Survey: An illustration with Belgium and the Czech Republic in Round 7," Journal of Official Statistics, Sciendo, vol. 33(3), pages 659-686, September.
    3. Maciej Beręsewicz, 2017. "A Two-Step Procedure to Measure Representativeness of Internet Data Sources," International Statistical Review, International Statistical Institute, vol. 85(3), pages 473-493, December.

    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. Roberts Caroline & Vandenplas Caroline & Herzing Jessica M.E., 2020. "A Validation of R-Indicators as a Measure of the Risk of Bias using Data from a Nonresponse Follow-Up Survey," Journal of Official Statistics, Sciendo, vol. 36(3), pages 675-701, September.
    2. Kaminska Olena & Lynn Peter, 2017. "The Implications of Alternative Allocation Criteria in Adaptive Design for Panel Surveys," Journal of Official Statistics, Sciendo, vol. 33(3), pages 781-799, September.
    3. Barry Schouten & Natalie Shlomo, 2017. "Selecting Adaptive Survey Design Strata with Partial R-indicators," International Statistical Review, International Statistical Institute, vol. 85(1), pages 143-163, April.
    4. Thais Paiva & Jerry Reiter, 2014. "Using Imputation Techniques To Evaluate Stopping Rules In Adaptive Survey Design," Working Papers 14-40, Center for Economic Studies, U.S. Census Bureau.
    5. Stephanie Coffey, PhD. & Jaya Damineni & John Eltinge, PhD. & Anup Mathur, PhD. & Kayla Varela & Allison Zotti, 2023. "Some Open Questions on Multiple-Source Extensions of Adaptive-Survey Design Concepts and Methods," Working Papers 23-03, Center for Economic Studies, U.S. Census Bureau.
    6. Lundquist Peter & Särndal Carl-Erik, 2013. "Aspects of Responsive Design with Applications to the Swedish Living Conditions Survey," Journal of Official Statistics, Sciendo, vol. 29(4), pages 557-582, December.
    7. Silvia Biffignandi & Alessandro Zeli, 2021. "Longitudinal business data construction and quality: Two different approaches," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 75(2), pages 92-114, May.
    8. Jamie C. Moore & Gabriele B. Durrant & Peter W. F. Smith, 2021. "Do coefficients of variation of response propensities approximate non‐response biases during survey data collection?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 301-323, January.
    9. Särndal Carl-Erik & Lundquist Peter, 2017. "Inconsistent Regression and Nonresponse Bias: Exploring Their Relationship as a Function of Response Imbalance," Journal of Official Statistics, Sciendo, vol. 33(3), pages 709-734, September.
    10. Vandenplas Caroline & Loosveldt Geert & Beullens Koen, 2017. "Fieldwork Monitoring for the European Social Survey: An illustration with Belgium and the Czech Republic in Round 7," Journal of Official Statistics, Sciendo, vol. 33(3), pages 659-686, September.
    11. Barry Schouten & Fannie Cobben & Peter Lundquist & James Wagner, 2016. "Does more balanced survey response imply less non-response bias?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(3), pages 727-748, June.
    12. Brick J. Michael, 2013. "Unit Nonresponse and Weighting Adjustments: A Critical Review," Journal of Official Statistics, Sciendo, vol. 29(3), pages 329-353, June.
    13. Osier, Guillaume, 2016. "Unit non-response in household wealth surveys," Statistics Paper Series 15, European Central Bank.
    14. Paiva Thais & Reiter Jerome P., 2017. "Stop or Continue Data Collection: A Nonignorable Missing Data Approach for Continuous Variables," Journal of Official Statistics, Sciendo, vol. 33(3), pages 579-599, September.
    15. Friedel Sabine & Birkenbach Tim, 2020. "Evolution of the Initially Recruited SHARE Panel Sample Over the First Six Waves," Journal of Official Statistics, Sciendo, vol. 36(3), pages 507-527, September.
    16. Silvia Biffignandi & Alessandro Zeli, 2022. "Building panels from archives: the longitudinal representativity," METRON, Springer;Sapienza Università di Roma, vol. 80(1), pages 121-138, April.
    17. Jamie C. Moore & Peter W. F. Smith & Gabriele B. Durrant, 2018. "Correlates of record linkage and estimating risks of non‐linkage biases in business data sets," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1211-1230, October.
    18. Early Kirstin & Mankoff Jennifer & Fienberg Stephen E., 2017. "Dynamic Question Ordering in Online Surveys," Journal of Official Statistics, Sciendo, vol. 33(3), pages 625-657, September.
    19. Chun Asaph Young & Schouten Barry & Wagner James, 2017. "JOS Special Issue on Responsive and Adaptive Survey Design: Looking Back to See Forward – Editorial: In Memory of Professor Stephen E. Fienberg, 1942–2016," Journal of Official Statistics, Sciendo, vol. 33(3), pages 571-577, September.
    20. Reza C. Daniels, 2012. "A Framework for Investigating Micro Data Quality, with Application to South African Labour Market Household Surveys," SALDRU Working Papers 90, Southern Africa Labour and Development Research Unit, University of Cape Town.

    More about this item

    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:bla:istatr:v:81:y:2013:i:2:p:270-288. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/isiiinl.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.