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Working with Response Probabilities

Journal of Official Statistics
Volume 36 (2020): Issue 3 (September 2020)
By:
Open Access
|Jul 2020

References

  1. Bethlehem, J.G. 2002. “Weighting Nonresponse Adjustments Based on Auxiliary Information.” In Survey Nonresponse, edited by Groves, R.M., D.A. Dillman, J.L. Eltinge, and R.J.A. Little, 275–288. New York: John Wiley & Sons.
    Search in Google ScholarBack to article
  2. Bethlehem, J.G. 2009. Applied Survey Methods, A Statistical Perspective. Hoboken, NJ: John Wiley & Sons. DOI: https://doi.org/10.1002/9780470494998.10.1002/9780470494998
    Search in Google ScholarBack to article
  3. Bethlehem, J.G. and S. Biffignandi. 2012. Handbook of Web Surveys. Hoboken, NJ: John Wiley & Sons. DOI: https://doi.org/10.1002/978111812175.
    Search in Google ScholarBack to article
  4. Bethlehem, J.G., F. Cobben, and B. Schouten. 2011. Handbook of Nonresponse in Household Surveys. Hoboken, NJ: John Wiley & Sons. DOI: https://doi.org/10.1002/9780470891056.10.1002/9780470891056
    Search in Google ScholarBack to article
  5. Bethlehem, J.G. and W.J. Keller. 1987. “Linear Weighting of Sample Survey Data.” Journal of Official Statistics 3: 141–153. Available at: https://www.scb.se/contentas-sets/ca21efb41fee47d293bbee5bf7be7fb3/linear-weighting-of-sample-survey-data.pdf (accessed June 2020).
    Search in Google ScholarBack to article
  6. Cochran, W.G. 1968. “The Effectiveness of Adjustments by Subclassification in Removing in Observational Studies.” Biometrics 24: 205–2013. DOI: https://doi.org/10.2307/2528036.10.2307/2528036
    Search in Google ScholarBack to article
  7. Cochran, W.G. 1977. Sampling techniques. Third Edition. New York: John Wiley & Sons.
    Search in Google ScholarBack to article
  8. Deville, J.C. and C.E. Särndal. 1992. “Calibration Estimators in Survey Sampling.” Journal of the American Statistical Association 87: 376–382. DOI: https://doi.org/10.1080/01621459.1992.10475217.10.1080/01621459.1992.10475217
    Search in Google ScholarBack to article
  9. Deville, J.C., C.E. Särndal, and O. Sautory. 1993. “Generalized Raking Procedures in Survey Sampling.” Journal of the American Statistical Association 88: 1013–1020. DOI: https://doi.org/10.1080/01621459.1993.10476369.10.1080/01621459.1993.10476369
    Search in Google ScholarBack to article
  10. Groves, R.M. 2006. “Nonresponse Rates and Nonresponse Bias in Household Survey.” Public Opinion Quarterly 70: 646–675. DOI: https://doi.org/10.1093/poq/nfl033.10.1093/poq/nfl033
    Search in Google ScholarBack to article
  11. Hazizi, D. and J.F. Beaumont. 2017. “Constructions of Weights in Surveys.” Statistical Science 32: 206–226. DOI: https://doi.org/10.1214/16-STS608.10.1214/16-STS608
    Search in Google ScholarBack to article
  12. Horvitz, D.G. and D.J. Thompson. 1952. “A Generalization of Sampling Without Replacement from a Finite Universe.” Journal of the American Statistical Association 47: 663–685. DOI: https://doi.org/10.1080/01621459.1952.10483446.10.1080/01621459.1952.10483446
    Search in Google ScholarBack to article
  13. Keller, W.J., A. Verbeek, and J.G. Bethlehem. 1984. ANOTA: Analysis of Tables. Voorburg: Statistics Netherlands, Department for Statistical Methods. (CBS-report 5766-84-M1-3).
    Search in Google ScholarBack to article
  14. Little, R.J.A. 1986. “Survey Nonresponse Adjustment for the Estimates of Means.” International Statistical Review 54: 139–157. DOI: https://doi.org/10.2307/1403140.10.2307/1403140
    Search in Google ScholarBack to article
  15. Little, R.J.A. and D.B. Rubin. 2002. Statistical Analysis with Missing Data. Second edition. New York: John Wiley & Sons. DOI: https://doi.org/10.1002/9781119013563.10.1002/9781119013563
    Search in Google ScholarBack to article
  16. Lundquist, P. and C.E. Särndal. 2013. “Aspects of Responsive Design with Applications to the Swedish Living Conditions Survey.” Journal of Official Statistics 29: 557–582. DOI: https://doi.org/10.1515/jos-2017-0033.10.1515/jos-2017-0033
    Search in Google ScholarBack to article
  17. Särndal, C.-E. 2011. “The 2010 Morris Hansen Lecture: Dealing with Survey Nonresponse in Data Collection, in Estimation.” Journal of Official Statistics 27: 1–21. Available at: https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7-be7fb3/the-2010-morris-hansen-lecture-dealing-with-survey-nonresponse-in-data-collection-in-estimation.pdf (accessed May 2020).
    Search in Google ScholarBack to article
  18. Särndal, C.E., K. Lumiste, and I. Traat. 2016. “Reducing the Response Imbalance: Is the Accuracy of the survey estimates improved?.” Survey Methodology 42: 219–238. Available at: https://www150.statcan.gc.ca/n1/pub/12-001-x/2016002/article/14663-eng.htm (accessed June 2020).
    Search in Google ScholarBack to article
  19. Särndal, C.E. and P. Lundquist. 2014a. “Balancing the Response and Adjusting Estimates for Nonresponse Bias: Complementary Activities.” Journal de la Société Française de Statistique 155: 28–50. Available at: https://www.semanticscholar.org/paper/Balancing-the-response-and-adjusting-estimates-for-S%C3%A4rndal-Lundquist/9686e52f8875ff2b0120303ed2e24b2008f463df (accessed June 2020).
    Search in Google ScholarBack to article
  20. Särndal, C.E. and P. Lundquist. 2014b. “Accuracy in Estimation with Nonresponse: A Function of Degree of Imbalance and Degree of Explanation.” Journal of Survey Statistics and Methodology 2: 361–387. DOI: https://doi.org/10.1093/jssam/smu014.10.1093/jssam/smu014
    Search in Google ScholarBack to article
  21. Särndal, C.E. and P. Lundquist. 2017. “Inconsistent Regression and Nonresponse Bias: Exploring Their Relationship as a Function of Response Imbalance.” Journal of Official Statistics 33: 700–734. DOI: https://doi.org/10.1515/jos-2017-0033.10.1515/jos-2017-0033
    Search in Google ScholarBack to article
  22. Särndal, C.-E. and S. Lundström. 2005. Estimation in Surveys with Nonresponse. Chichester, UK: John Wiley & Sons.10.1002/0470011351
    Search in Google ScholarBack to article
  23. Schouten, B., F. Cobben, and J.G. Bethlehem. 2009. “Measures for the Representativeness of Survey Response.” Survey Methodology 36: 101 – 113. Available at: https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2009001/article/10887-eng.pdf?st=uZQq4P0J (accessed June 2020).
    Search in Google ScholarBack to article
  24. Stoop, I.A.L. 2005. The Hunt for the Last Respondent. The Hague: Social and Cultural Planning Office. Available at: https://www.researchgate.net/profile/Ineke_Stoop/publication/27686407_The_Hunt_for_the_Last_Respondent_Nonresponse_in_Sample_Surveys/links/569791b908ae1c427905094e/The-Hunt-for-the-Last-Respondent-Non-response-in-Sample-Surveys.pdf (accessed June 2020).
    Search in Google ScholarBack to article
  25. Valliant, R., J.A. Dever, and F. Kreuter. 2018. Practical Tools for Designing and Weighting Survey Samples. Heidelberg, Germany: Springer. DOI: https://doi.org/10.1007/978-3-319-93632-110.1007/978-3-319-93632-1
    Search in Google ScholarBack to article
DOI: https://doi.org/10.2478/jos-2020-0033 | Journal eISSN: 2001-7367
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Language: English
Page range: 647 - 674
Submitted on: Jul 1, 2018
Accepted on: Sep 1, 2019
Published on: Jul 24, 2020
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
Nonresponse,
adjustment weighting,
response propensity,
representativity
Related subjects:
Mathematics,
Probability and statistics

© 2020 Jelke Bethlehem, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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