IDEAS home Printed from https://ideas.repec.org/r/bla/istatr/v78y2010i1p40-64.html
   My bibliography  Save this item

A Review of Hot Deck Imputation for Survey Non‐response

Citations

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


Cited by:

  1. Nix, Justin & Wolfe, Scott E., 2016. "Sensitivity to the Ferguson Effect: The role of managerial organizational justice," Journal of Criminal Justice, Elsevier, vol. 47(C), pages 12-20.
  2. Michael Neidlin & Efthymia Chantzi & George Macheras & Mats G Gustafsson & Leonidas G Alexopoulos, 2019. "An ex vivo tissue model of cartilage degradation suggests that cartilage state can be determined from secreted key protein patterns," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-17, October.
  3. Giebler, Heiko & Meyer, Thomas M. & Wagner, Markus, 2021. "The changing meaning of left and right: supply- and demand-side effects on the perception of party positions," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 31(2), pages 243-262.
  4. Sullivan, Danielle & Andridge, Rebecca, 2015. "A hot deck imputation procedure for multiply imputing nonignorable missing data: The proxy pattern-mixture hot deck," Computational Statistics & Data Analysis, Elsevier, vol. 82(C), pages 173-185.
  5. Raymundo M. Campos-Vázquez, 2013. "Efectos de los ingresos no reportados en el nivel y tendencia de la pobreza laboral en México," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 23-54, November.
  6. Constantin Rudolf Salomo Bürgi, 2023. "How to deal with missing observations in surveys of professional forecasters," Journal of Applied Economics, Taylor & Francis Journals, vol. 26(1), pages 2185975-218, December.
  7. M. Marit Rehavi & Sonja B. Starr, 2014. "Racial Disparity in Federal Criminal Sentences," Journal of Political Economy, University of Chicago Press, vol. 122(6), pages 1320-1354.
  8. Robert Moffitt & John Abowd & Christopher Bollinger & Michael Carr & Charles Hokayem & Kevin McKinney & Emily Wiemers & Sisi Zhang & James Ziliak, 2022. "Reconciling Trends in U.S. Male Earnings Volatility: Results from Survey and Administrative Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 1-11, December.
  9. Paul T. von Hippel, 2013. "Should a Normal Imputation Model be Modified to Impute Skewed Variables?," Sociological Methods & Research, , vol. 42(1), pages 105-138, February.
  10. Tania Rojas García & Edwin van Gameren, 2021. "Subcontratación laboral y salarios: una estimación por cuantiles," Serie documentos de trabajo del Centro de Estudios Económicos 2021-08, El Colegio de México, Centro de Estudios Económicos.
  11. Nicole M. Butera & Siying Li & Kelly R. Evenson & Chongzhi Di & David M. Buchner & Michael J. LaMonte & Andrea Z. LaCroix & Amy Herring, 2019. "Hot Deck Multiple Imputation for Handling Missing Accelerometer Data," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(2), pages 422-448, July.
  12. Bruce D. Meyer & Wallace K. C. Mok & James X. Sullivan, 2015. "Household Surveys in Crisis," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 199-226, Fall.
  13. Daniel K. Lew & Amber Himes-Cornell & Jean Lee, 2015. "Weighting and Imputation for Missing Data in a Cost and Earnings Fishery Survey," Marine Resource Economics, University of Chicago Press, vol. 30(2), pages 219-230.
  14. Issac Shams & Saeede Ajorlou & Kai Yang, 2015. "A predictive analytics approach to reducing 30-day avoidable readmissions among patients with heart failure, acute myocardial infarction, pneumonia, or COPD," Health Care Management Science, Springer, vol. 18(1), pages 19-34, March.
  15. Ralf Münnich & Siegfried Gabler & Christian Bruch & Jan Pablo Burgard & Tobias Enderle & Jan-Philipp Kolb & Thomas Zimmermann, 2015. "Tabellenauswertungen im Zensus unter Berücksichtigung fehlender Werte," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 9(3), pages 269-304, December.
  16. Młodak Andrzej, 2021. "An application of a complex measure to model–based imputation in business statistics," Statistics in Transition New Series, Polish Statistical Association, vol. 22(1), pages 1-28, March.
  17. Yves G. Berger & Emilio L. Escobar, 2017. "Variance Estimation of Imputed Estimators of Change for Repeated Rotating Surveys," International Statistical Review, International Statistical Institute, vol. 85(3), pages 421-438, December.
  18. McDonough, Ian K. & Millimet, Daniel L., 2017. "Missing data, imputation, and endogeneity," Journal of Econometrics, Elsevier, vol. 199(2), pages 141-155.
  19. Hamrick, Karen S., 2012. "Nonresponse Bias Analysis of Body Mass Index in the Eating and Health Module," Technical Bulletins 184303, United States Department of Agriculture, Economic Research Service.
  20. Letizia Caso & Andrea Greco & Eleonora Florio & Nicola Palena, 2021. "Assessment of Family, Peers, and Externalising Behaviour Dimensions in Adolescence: The Proposal of a Comprehensive Instrument (FPEB)," IJERPH, MDPI, vol. 18(5), pages 1-17, March.
  21. Thomas Masterson, 2013. "Quality of Statistical Match and Simulations Used in the Estimation of the Levy Institute Measure of Time and Consumption Poverty (LIMTCP) for Turkey in 2006," Economics Working Paper Archive wp_769, Levy Economics Institute.
  22. Gessendorfer Jonathan & Beste Jonas & Drechsler Jörg & Sakshaug Joseph W., 2018. "Statistical Matching as a Supplement to Record Linkage: A Valuable Method to Tackle Nonconsent Bias?," Journal of Official Statistics, Sciendo, vol. 34(4), pages 909-933, December.
  23. Chia-Ning Wang & Roderick Little & Bin Nan & Siobán D. Harlow, 2011. "A Hot-Deck Multiple Imputation Procedure for Gaps in Longitudinal Recurrent Event Histories," Biometrics, The International Biometric Society, vol. 67(4), pages 1573-1582, December.
  24. Peter M. Sinclair & Ashly Kable & Tracy Levett‐Jones & Carl Holder & Christopher J. Oldmeadow, 2019. "The CKD‐DETECT study: An RCT aimed at improving intention to initiate a kidney health check in Australian practice nurses," Journal of Clinical Nursing, John Wiley & Sons, vol. 28(15-16), pages 2745-2759, August.
  25. Chiara Elena Dalla & Menon Martina & Perali Federico, 2019. "An Integrated Database to Measure Living Standards," Journal of Official Statistics, Sciendo, vol. 35(3), pages 531-576, September.
  26. Zhong, Hua & Hu, Wuyang, 2015. "Farmers’ Willingness to Engage in Best Management Practices: an Application of Multiple Imputation," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196962, Southern Agricultural Economics Association.
  27. Shu Yang & Jae Kwang Kim, 2020. "Asymptotic theory and inference of predictive mean matching imputation using a superpopulation model framework," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(3), pages 839-861, September.
  28. Riccardo D’Alberto & Matteo Zavalloni & Meri Raggi & Davide Viaggi, 2018. "AES Impact Evaluation With Integrated Farm Data: Combining Statistical Matching and Propensity Score Matching," Sustainability, MDPI, vol. 10(11), pages 1-24, November.
  29. Alinne Veiga & Peter W. F. Smith & James J. Brown, 2014. "The use of sample weights in multivariate multilevel models with an application to income data collected by using a rotating panel survey," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 63(1), pages 65-84, January.
  30. Elena Catanese, 2016. "Data Editing for Complex Surveys in Presence Of Administrative Data: An Application to Fss 2013 Livestock Survey Data Based on The Joint Sequential Use Of Different R Packages," Romanian Statistical Review, Romanian Statistical Review, vol. 64(2), pages 101-117, June.
  31. Nancy, Jane Y. & Khanna, Nehemiah H. & Arputharaj, Kannan, 2017. "Imputing missing values in unevenly spaced clinical time series data to build an effective temporal classification framework," Computational Statistics & Data Analysis, Elsevier, vol. 112(C), pages 63-79.
  32. Thomas Masterson, 2012. "Simulations of Full-Time Employment and Household Work in the Levy Institute Measure of Time and Income Poverty (LIMTIP) for Argentina, Chile, and Mexico," Economics Working Paper Archive wp_727, Levy Economics Institute.
  33. Meyer, Bruce D. & Mittag, Nikolas, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," IZA Discussion Papers 12266, Institute of Labor Economics (IZA).
  34. Domitille Bonneton & Stephanie Katja Schworm & Marion Festing & Maral Muratbekova-Touron, 2022. "Do global talent management programs help to retain talent? A career-related framework," Post-Print hal-03876972, HAL.
  35. Yang Yunxi & Danes Sharon M., 2015. "Resiliency and Resilience Process of Entrepreneurs in New Venture Creation," Entrepreneurship Research Journal, De Gruyter, vol. 5(1), pages 1-30, January.
  36. Lingyun Lyu & Yu Cheng & Abdus S. Wahed, 2023. "Imputation‐based Q‐learning for optimizing dynamic treatment regimes with right‐censored survival outcome," Biometrics, The International Biometric Society, vol. 79(4), pages 3676-3689, December.
  37. Peter Levell & Jonathan Shaw, 2016. "Constructing Full Adult Life-cycles from Short Panels," International Journal of Microsimulation, International Microsimulation Association, vol. 9(2), pages 5-40.
  38. Chenyang Gu & Roee Gutman, 2017. "Combining item response theory with multiple imputation to equate health assessment questionnaires," Biometrics, The International Biometric Society, vol. 73(3), pages 990-998, September.
  39. Wittenberg, Martin & Pirouz, Farah, 2013. "The measurement of earnings in the post-Apartheid period: An overview," SALDRU Working Papers 108, Southern Africa Labour and Development Research Unit, University of Cape Town.
  40. John F. Riggs & Dena Hale & Scott Widmier & Sonya Tidwell-Riggs, 2023. "Randomized, Multicenter, Parallel-Arm (RMPA) research trial design: a potential solution to survey length, response rate and data quality in social science research," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 577-586, December.
  41. Daniel Araya & Guillermo Paraje, 2018. "The impact of prices on alcoholic beverage consumption in Chile," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-15, October.
  42. Torres Munguía, Juan Armando, 2014. "Comparison of Imputation Methods for Handling Missing Categorical Data with Univariate Pattern|| Una comparación de métodos de imputación de variables categóricas con patrón univariado," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 17(1), pages 101-120, June.
  43. Jana Emmenegger & Ralf Münnich & Jannik Schaller, 2022. "Evaluating Data Fusion Methods to Improve Income Modelling," Research Papers in Economics 2022-03, University of Trier, Department of Economics.
  44. Alexander Naidenov, 2015. "Influence of Social-Economic Factors în the Contemporary Bulgarian Human Values - Experimental Results," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 4, pages 72-92, December.
  45. Adel Bosch & Steven F. Koch, 2021. "Individual and Household Debt: Does Imputation Choice Matter?," Working Papers 202141, University of Pretoria, Department of Economics.
  46. Duo Qin & Sophie van H¸llen & Qing-Chao Wang, 2014. "What Happens to Wage Elasticities When We Strip Playometrics? Revisiting Married Women Labour Supply Model," Working Papers 190, Department of Economics, SOAS University of London, UK.
  47. Yang, Hanfang & Zhao, Yichuan, 2015. "Smoothed jackknife empirical likelihood inference for ROC curves with missing data," Journal of Multivariate Analysis, Elsevier, vol. 140(C), pages 123-138.
  48. Leah Shiferaw & Diana McCallum & Dana Rotz, "undated". "Pathways Clearinghouse Guide for Researchers," Mathematica Policy Research Reports db2ce22f39d54a63b1ef50220, Mathematica Policy Research.
  49. Marco Lauriola & Luca Iani, 2017. "Personality, Positivity and Happiness: A Mediation Analysis Using a Bifactor Model," Journal of Happiness Studies, Springer, vol. 18(6), pages 1659-1682, December.
  50. Omar Paccagnella, 2011. "Anchoring vignettes with sample selection due to non‐response," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 665-687, July.
  51. Karen L. Akerlof & Paul L. Delamater & Caroline R. Boules & Crystal R. Upperman & Clifford S. Mitchell, 2015. "Vulnerable Populations Perceive Their Health as at Risk from Climate Change," IJERPH, MDPI, vol. 12(12), pages 1-15, December.
  52. Mariana Amorim & Laura M. Tach, 2019. "Multiple-Partner Fertility and Cohort Change in the Prevalence of Half-Siblings," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2033-2061, December.
  53. Yijie Xue & Nicole Lazar, 2012. "Empirical likelihood-based hot deck imputation methods," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(3), pages 629-646.
  54. Martin Wittenberg, 2017. "Wages and Wage Inequality in South Africa 1994–2011: Part 1 – Wage Measurement and Trends," South African Journal of Economics, Economic Society of South Africa, vol. 85(2), pages 279-297, June.
  55. Endres Eva & Fink Paul & Augustin Thomas, 2019. "Imprecise Imputation: A Nonparametric Micro Approach Reflecting the Natural Uncertainty of Statistical Matching with Categorical Data," Journal of Official Statistics, Sciendo, vol. 35(3), pages 599-624, September.
  56. Lewis Taylor & Goldberg Elizabeth & Schenker Nathaniel & Beresovsky Vladislav & Schappert Susan & Decker Sandra & Sonnenfeld Nancy & Shimizu Iris, 2014. "The Relative Impacts of Design Effects and Multiple Imputation on Variance Estimates: A Case Study with the 2008 National Ambulatory Medical Care Survey," Journal of Official Statistics, Sciendo, vol. 30(1), pages 147-161, March.
  57. Siedschlag Iulia & Kaitila Ville & McQuinn John & Zhang Xiaoheng, 2014. "International Investment and Firm Performance: Empirical Evidence from Small Open Economies," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(6), pages 662-687, December.
  58. 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.
  59. Kristian Kleinke, 2017. "Multiple Imputation Under Violated Distributional Assumptions: A Systematic Evaluation of the Assumed Robustness of Predictive Mean Matching," Journal of Educational and Behavioral Statistics, , vol. 42(4), pages 371-404, August.
  60. Soyeon Ahn & John M. Abbamonte, 2020. "A new approach for handling missing correlation values for meta‐analytic structural equation modeling: Corboundary R package," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(1), March.
  61. Kokko Ari & Söderlund Bengt & Tingvall Patrik Gustavsson, 2014. "Redirecting International Trade: Contracts, Conflicts, and Institutions," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(6), pages 688-721, December.
  62. Bilal Habib, 2018. "How CBO Adjusts for Survey Underreporting of Transfer Income in Its Distributional Analyses: Working Paper 2018-07," Working Papers 54234, Congressional Budget Office.
  63. Ding, Wei & Song, Peter X.-K., 2016. "EM algorithm in Gaussian copula with missing data," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 1-11.
  64. Miller, Elizabeth A. & Paschall, Katherine W. & Azar, Sandra T., 2017. "Latent classes of older foster youth: Prospective associations with outcomes and exits from the foster care system during the transition to adulthood," Children and Youth Services Review, Elsevier, vol. 79(C), pages 495-505.
  65. Marcello D’Orazio, 2015. "Integration and imputation of survey data in R: the StatMatch package," Romanian Statistical Review, Romanian Statistical Review, vol. 63(2), pages 57-68, June.
  66. Rasner, Anika & Frick, Joachim R. & Grabka, Markus M., 2013. "Statistical Matching of Administrative and Survey Data: An Application to Wealth Inequality Analysis," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 42(2), pages 192-224.
  67. Olanrewaju Akande & Gabriel Madson & D. Sunshine Hillygus & Jerome P. Reiter, 2021. "Leveraging auxiliary information on marginal distributions in nonignorable models for item and unit nonresponse," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(2), pages 643-662, April.
  68. Renuka Bhaskar & Adela Luque & Sonya Rastogi & James M. Noon, 2014. "Coverage and Agreement of Administrative Records and 2010 American Community Survey Demographic Data," CARRA Working Papers 2014-14, Center for Economic Studies, U.S. Census Bureau.
  69. Bruce D. Meyer & Nikolas Mittag, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," NBER Working Papers 25738, National Bureau of Economic Research, Inc.
  70. Xinran Cui & Hao Gu & Chongshi Gu & Wenhan Cao & Jiayi Wang, 2023. "A Novel Imputation Model for Missing Concrete Dam Monitoring Data," Mathematics, MDPI, vol. 11(9), pages 1-24, May.
  71. Nicklas Pettersson, 2013. "Bias reduction of finite population imputation by kernel methods," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 14(1), pages 139-160, March.
  72. López-Calva, Luis Felipe & Levy Algazi, Santiago, 2016. "Labor Earnings, Misallocation, and the Returns to Education in Mexico," IDB Publications (Working Papers) 7454, Inter-American Development Bank.
  73. Cheng, Xiaoyue & Cook, Dianne & Hofmann, Heike, 2015. "Visually Exploring Missing Values in Multivariable Data Using a Graphical User Interface," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i06).
  74. Masterson, Thomas & Zacharias , Ajit & Antonopoulous, Rania & Memiş, Emel, 2013. "Why Time Deficits Matter: Implications For Understanding And Combating Poverty In Turkey," EY International Congress on Economics I (EYC2013), October 24-25, 2013, Ankara, Turkey 23, Ekonomik Yaklasim Association.
  75. Andrzej Młodak, 2021. "An application of a complex measure to model–based imputation in business statistics," Statistics in Transition New Series, Polish Statistical Association, vol. 22(1), pages 1-28, March.
  76. Tina Peterson & Linda Chatters & Robert Taylor & Ann Nguyen, 2014. "Subjective Well-Being of Older African Americans with DSM IV Psychiatric Disorders," Journal of Happiness Studies, Springer, vol. 15(5), pages 1179-1196, October.
  77. Ton de Waal & Wieger Coutinho, 2017. "Preserving Logical Relations while Estimating Missing Values," Romanian Statistical Review, Romanian Statistical Review, vol. 65(3), pages 47-59, September.
  78. Encarnación Álvarez-Verdejo & Pablo J. Moya-Fernández & Juan F. Muñoz-Rosas, 2021. "Single Imputation Methods and Confidence Intervals for the Gini Index," Mathematics, MDPI, vol. 9(24), pages 1-20, December.
  79. Thomas Masterson & Kijong Kim & Fernando Rios-Avila, 2016. "Simulations of Employment for Individuals in LIMTCP Consumption-poor Households in Tanzania and Ghana, 2012," Economics Working Paper Archive wp_871, Levy Economics Institute.
  80. Thomas Masterson, 2014. "Quality of Statistical Match and Employment Simulations Used in the Estimation of the Levy Institute Measure of Time and Income Poverty (LIMTIP) for South Korea, 2009," Economics Working Paper Archive wp_793, Levy Economics Institute.
  81. Anika Rasner & Joachim R. Frick & Markus M. Grabka, 2013. "Statistical Matching of Administrative and Survey Data," Sociological Methods & Research, , vol. 42(2), pages 192-224, May.
  82. Hamrick, Karen S., 2012. "Nonresponse Bias Analysis of Body Mass Index Data in the Eating and Health Module," Technical Bulletins 131556, United States Department of Agriculture, Economic Research Service.
  83. Yanqing Sun & Li Qi & Fei Heng & Peter B. Gilbert, 2020. "A hybrid approach for the stratified mark‐specific proportional hazards model with missing covariates and missing marks, with application to vaccine efficacy trials," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 791-814, August.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.