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Using calibration weighting to adjust for nonresponse under a plausible model

Citations

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Cited by:

  1. Denis Devaud & Yves Tillé, 2019. "Deville and Särndal’s calibration: revisiting a 25-years-old successful optimization problem," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(4), pages 1033-1065, December.
  2. Jiang, Depeng & Zhao, Puying & Tang, Niansheng, 2016. "A propensity score adjustment method for regression models with nonignorable missing covariates," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 98-119.
  3. Li, Mengyan & Ma, Yanyuan & Zhao, Jiwei, 2022. "Efficient estimation in a partially specified nonignorable propensity score model," Computational Statistics & Data Analysis, Elsevier, vol. 174(C).
  4. Kott Phillip S., 2013. "Discussion," Journal of Official Statistics, Sciendo, vol. 29(3), pages 359-362, June.
  5. Williams Matthew & Berg Emily, 2013. "Incorporating User Input Into Optimal Constraining Procedures for Survey Estimates," Journal of Official Statistics, Sciendo, vol. 29(3), pages 375-396, June.
  6. Xiaojun Mao & Zhonglei Wang & Shu Yang, 2023. "Matrix completion under complex survey sampling," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(3), pages 463-492, June.
  7. Bo Xiong & Sixia Chen, 2014. "Estimating gravity equation models in the presence of sample selection and heteroscedasticity," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2993-3003, August.
  8. Kajal Dihidar, 2014. "Estimating population mean with missing data in unequal probability sampling," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 15(3), pages 369-388, June.
  9. M. Giovanna Ranalli & Alina Matei & Andrea Neri, 2023. "Generalised calibration with latent variables for the treatment of unit nonresponse in sample surveys," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(1), pages 169-195, March.
  10. Alexandra Filindra & Melanie Kolbe, 2022. "Latinx identification with whiteness: What drives it, and what effects does it have on political preferences?," Social Science Quarterly, Southwestern Social Science Association, vol. 103(6), pages 1424-1439, November.
  11. Kott Phillip S. & Liao Dan, 2018. "Calibration Weighting for Nonresponse with Proxy Frame Variables (So that Unit Nonresponse Can Be Not Missing at Random)," Journal of Official Statistics, Sciendo, vol. 34(1), pages 107-120, March.
  12. Denis Devaud & Yves Tillé, 2019. "Rejoinder on: Deville and Särndal’s calibration: revisiting a 25-year-old successful optimization problem," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(4), pages 1087-1091, December.
  13. Brick J. Michael, 2013. "Unit Nonresponse and Weighting Adjustments: A Critical Review," Journal of Official Statistics, Sciendo, vol. 29(3), pages 329-353, June.
  14. Rueda, M. & Martínez, S. & Illescas, M., 2021. "Treating nonresponse in the estimation of the distribution function," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 186(C), pages 136-144.
  15. Carl-Erik Särndal & Imbi Traat & Kaur Lumiste, 2018. "Interaction Between Data Collection And Estimation Phases In Surveys With Nonresponse," Statistics in Transition New Series, Polish Statistical Association, vol. 19(2), pages 183-200, June.
  16. Christopher L. Foote & Tyler Hounshell & William D. Nordhaus & Douglas Rivers & Pamela Torola, 2021. "Measuring the US Employment Situation Using Online Panels: The Yale Labor Survey," Current Policy Perspectives 93422, Federal Reserve Bank of Boston.
  17. D'Arrigo, Julia & Skinner, Chris J., 2010. "Linearization variance estimation for generalized raking estimators in the presence of nonresponse," LSE Research Online Documents on Economics 39120, London School of Economics and Political Science, LSE Library.
  18. Maciej Berȩsewicz & Dagmara Nikulin, 2021. "Estimation of the size of informal employment based on administrative records with non‐ignorable selection mechanism," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(3), pages 667-690, June.
  19. Christopher Henry & Kim Huynh & Gradon Nicholls & Mitchell Nicholson, 2019. "2018 Bitcoin Omnibus Survey: Awareness and Usage," Discussion Papers 2019-10, Bank of Canada.
  20. Särndal Carl-Erik & Traat Imbi & Lumiste Kaur, 2018. "Interaction Between Data Collection And Estimation Phases In Surveys With Nonresponse," Statistics in Transition New Series, Polish Statistical Association, vol. 19(2), pages 183-200, June.
  21. Puying Zhao & Hui Zhao & Niansheng Tang & Zhaohai Li, 2017. "Weighted composite quantile regression analysis for nonignorable missing data using nonresponse instrument," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 29(2), pages 189-212, April.
  22. Chipperfield James & Brown James & Bell Philip, 2017. "Estimating the Count Error in the Australian Census," Journal of Official Statistics, Sciendo, vol. 33(1), pages 43-59, March.
  23. Christopher Foote & William D. Nordhaus & Douglas Rivers, 2020. "The US Employment Situation Using the Yale Labor Survey," Cowles Foundation Discussion Papers 2243, Cowles Foundation for Research in Economics, Yale University.
  24. Maria Michela Dickson & Giuseppe Espa & Lorenzo Fattorini & Flavio Santi, 2022. "Double-calibration estimators accounting for under-coverage and nonresponse in socio-economic surveys," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(5), pages 1273-1288, December.
  25. Hamori, Shigeyuki & Motegi, Kaiji & Zhang, Zheng, 2019. "Calibration estimation of semiparametric copula models with data missing at random," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 85-109.
  26. Xianwen Ding & Jiandong Chen & Xueping Chen, 2020. "Regularized quantile regression for ultrahigh-dimensional data with nonignorable missing responses," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 83(5), pages 545-568, July.
  27. Shonosuke Sugasawa & Kosuke Morikawa & Keisuke Takahata, 2022. "Bayesian semiparametric modeling of response mechanism for nonignorable missing data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(1), pages 101-117, March.
  28. Pengfei Li & Jing Qin & Yukun Liu, 2023. "Instability of inverse probability weighting methods and a remedy for nonignorable missing data," Biometrics, The International Biometric Society, vol. 79(4), pages 3215-3226, December.
  29. Gonzalez Jeffrey M. & Eltinge John L., 2016. "Discussion," Journal of Official Statistics, Sciendo, vol. 32(2), pages 295-300, June.
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