Accès libre

Adaptive Design Strategies for Nonresponse Follow-Up in Economic Surveys

À propos de cet article

Citez

Andridge, R.R. and R.J.A. Little. 2011. “Proxy Pattern-Mixture Analysis for Survey Nonresponse.” Journal of Official Statistics 27: 153–180. Available at: http://www.jos.nu/Articles/abstract.asp?article=272153.Search in Google Scholar

Andridge, R.R. and K.J. Thompson. 2015. “Using the Fraction of Missing Information to Identify Auxiliary Variables for Imputation Procedures via Proxy Pattern-Mixture Models.” International Statistical Review 83(3): 472–492. Doi: http://dx.doi.org/10.1111/insr.12091.10.1111/insr.12091Open DOISearch in Google Scholar

Baker, R., J.K. Brick, N.A. Bates, M. Battaglia, M.P. Couper, J.A. Dever, K.J. Gile, and R. Tourangeau. 2013. “Summary Report of the AAPOR Task Force on Non-Probability Sampling.” Journal of Survey Statistics and Methodology 1(2): 90–137.10.1093/jssam/smt008Search in Google Scholar

Groves, R.M. and S.G. Heeringa. 2006. “Responsive Design for Household Surveys: Tools for Actively Controlling Survey Errors and Costs.” Journal of the Royal Statistical Society Series A 169: 439–457. Doi: http://dx.doi.org/10.1111/j.1467-985X.2006.00423.x.10.1111/j.1467-985X.2006.00423.xOpen DOISearch in Google Scholar

Hansen, M.H. and W.N. Hurwitz. 1946. “The Problem of Non-Response in Sample Surveys.” Journal of the American Statistical Association 41: 517–529.10.1080/01621459.1946.1050189420279350Search in Google Scholar

Kaputa, S.J., L. Bechtel, K.J. Thompson, and D. Whitehead. 2014. “Strategies for Subsampling Nonrespondents for Economic Programs.” In Proceedings of the Section on Survey Research Methods, August 6, 2014. Alexandria, VA: American Statistical Association.Search in Google Scholar

Little, R.J. and S. Vartivarian. 2005. “Does Weighting for Nonresponse Increase the Variance of Survey Means?” Survey Methodology 31(2): 161–168.Search in Google Scholar

Lohr, S.L. 2010. Sampling: Design and Analysis (2nd Edition). Boston, MA: Brooks/Cole.Search in Google Scholar

Marquette, E., M. Kornbau, and J. Toribio. 2015. “Testing Contact Strategies to Improve Response in the 2012 Economic Census.” In Proceedings of the Section on Government Statistics: American Statistical Association, August 10, 2015. Alexandria, VA: American Statistical Association.Search in Google Scholar

Peytcheva, E. and R.M. Groves. 2009. “Using Variation in Response Rates of Demographic Subgroups as Evidence of Nonresponse Bias in Survey Estimates.” Journal of Official Statistics 25: 193–201.Search in Google Scholar

Phipps, P. and D. Toth. 2012. “Analyzing Establishment Nonresponse Using an Interpretable Regression Tree Model with Linked Administrative Data.” The Annals of Applied Statistics 6(2): 772–794. Doi: http://dx.doi.org/10.1214/11-AOAS521.10.1214/11-AOAS521Open DOISearch in Google Scholar

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.Search in Google Scholar

Särndal, C. and P. Lundquist. 2014. “Accuracy in Estimation with Nonresponse: A Function of Degree of Imbalance and Degree of Explanation.” Journal of Survey Statistics and Methodology 2(4): 361–3087.10.1093/jssam/smu014Search in Google Scholar

Särndal, C., B. Swensson, and J. Wretman. 1992. Model Assisted Survey Sampling, New York: Springer Verlag.10.1007/978-1-4612-4378-6Search in Google Scholar

Schouten, B., M. Calinescu, and A. Luiten. 2013. “Optimizing Quality of Response through Adaptive Survey Designs.” Survey Methodology 39(2): 29–58.Search in Google Scholar

Thompson, K.J. and S. Kaputa. 2017. Investigating Adaptive Nonresponse Follow-up Strategies for Small Businesses through Embedded Experiments. Journal of Official Statistics. Doi: https://doi.org/10.1515/jos-2017-0038.10.1515/jos-2017-0038Open DOISearch in Google Scholar

Thompson, K.J. and B.E. Oliver. 2012. “Response Rates in Business Surveys: Going Beyond the Usual Performance Measure.” Journal of Official Statistics 28: 221–237. Available at: http://www.jos.nu/Articles/abstract.asp?article=282221.Search in Google Scholar

Wagner, J. 2012. “A Comparison of Alternative Indicators for the Risk of Nonresponse Bias.” Public Opinion Quarterly 76(3): 555–575. Doi: http://dx.doi.org/10.1093/poq/nfs032.10.1093/poq/nfs032627697530538342Open DOISearch in Google Scholar

Wilson, T., J. McCarthy, and A. Dau. 2016. Adaptive Design in an Establishment Survey: Targeting, Applying and Measuring ‘Optimal’ Data Collection Procedures in the Agricultural Resource Management Survey. Proceedings of the Fifth International Conference on Establishment Surveys.Search in Google Scholar

eISSN:
2001-7367
Langue:
Anglais
Périodicité:
4 fois par an
Sujets de la revue:
Mathematics, Probability and Statistics