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Missing-Data Adjustments in Large Surveys

Citations

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Cited by:

  1. 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.
  2. S. Nazli Wasti, 2001. "Predictors of Trust in Buyer-Supplier Relations: A Contextual and Cultural Comparison of Japan and Turkey," CIRJE F-Series CIRJE-F-108, CIRJE, Faculty of Economics, University of Tokyo.
  3. Gerko Vink & Stef van Buuren, 2013. "Multiple Imputation of Squared Terms," Sociological Methods & Research, , vol. 42(4), pages 598-607, November.
  4. Christopher R. Bollinger & Barry T. Hirsch, 2013. "Is Earnings Nonresponse Ignorable?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 407-416, May.
  5. Westermeier, Christian & Grabka, Markus M., 2016. "Longitudinal Wealth Data and Multiple Imputation: An Evaluation Study," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10(3), pages 237-252.
  6. Dang, Hai-Anh & Carletto, Calogero, 2022. "Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation," IZA Discussion Papers 14997, Institute of Labor Economics (IZA).
  7. Christian Aßmann & Ariane Würbach & Solange Goßmann & Ferdinand Geissler & Anika Bela, 2017. "Nonparametric Multiple Imputation for Questionnaires with Individual Skip Patterns and Constraints: The Case of Income Imputation in the National Educational Panel Study," Sociological Methods & Research, , vol. 46(4), pages 864-897, November.
  8. Lamu, Admassu N. & Olsen, Jan Abel, 2016. "The relative importance of health, income and social relations for subjective well-being: An integrative analysis," Social Science & Medicine, Elsevier, vol. 152(C), pages 176-185.
  9. 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.
  10. Sean Mc Auliffe & Georg U. Thunecke & Georg Wamser, 2023. "The Tax-Elasticity of Tangible Fixed Assets: Evidence from Novel Corporate Tax Data," CESifo Working Paper Series 10628, CESifo.
  11. Michael D. Teter & Johannes O. Royset & Alexandra M. Newman, 2019. "Modeling uncertainty of expert elicitation for use in risk-based optimization," Annals of Operations Research, Springer, vol. 280(1), pages 189-210, September.
  12. Leandro Medina & Friedrich Schneider, 2017. "Shadow Economies around the World: New Results for 158 Countries over 1991-2015," CESifo Working Paper Series 6430, CESifo.
  13. Qiu, Qihua & Sung, Jaesang & Davis, Will & Tchernis, Rusty, 2018. "Using spatial factor analysis to measure human development," Journal of Development Economics, Elsevier, vol. 132(C), pages 130-149.
  14. Ahfock, Daniel & Pyne, Saumyadipta & McLachlan, Geoffrey J., 2022. "Statistical file-matching of non-Gaussian data: A game theoretic approach," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
  15. Simon A. Andrew & Filadelfo Leon-Cazares, 2015. "Mediating Effects of Organizational Citizenship Behavior on Organizational Performance: Empirical Analysis of Public Employees in Guadalajara, Mexico," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 12(2), pages 71-92, Julio-Dic.
  16. R Florez-Lopez, 2010. "Effects of missing data in credit risk scoring. A comparative analysis of methods to achieve robustness in the absence of sufficient data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(3), pages 486-501, March.
  17. Roderick J. A. Little & Donald B. Rubin, 1989. "The Analysis of Social Science Data with Missing Values," Sociological Methods & Research, , vol. 18(2-3), pages 292-326, November.
  18. Inkmann, Joachim, 2001. "Accounting for Nonresponse Heterogeneity in Panel Data," CoFE Discussion Papers 01/03, University of Konstanz, Center of Finance and Econometrics (CoFE).
  19. Giuseppe Arbia & Giuseppe Espa & Diego Giuliani, 2016. "Dirty spatial econometrics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 177-189, January.
  20. Mark Pennington & Manuel Gomes & Cam Donaldson, 2017. "Handling Protest Responses in Contingent Valuation Surveys," Medical Decision Making, , vol. 37(6), pages 623-634, August.
  21. Fumagalli, Laura & Sala, Emanuela, 2011. "The total survey error paradigm and pre-election polls: the case of the 2006 Italian general elections," ISER Working Paper Series 2011-29, Institute for Social and Economic Research.
  22. Valaei, Naser & Rezaei, Sajad & Ismail, Wan Khairuzzaman Wan, 2017. "Examining learning strategies, creativity, and innovation at SMEs using fuzzy set Qualitative Comparative Analysis and PLS path modeling," Journal of Business Research, Elsevier, vol. 70(C), pages 224-233.
  23. Michael D. Hurd, 1998. "Anchoring Effects in the HRS: Experimental and Nonexperimental Evidence," NBER Technical Working Papers 0219, National Bureau of Economic Research, Inc.
  24. 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.
  25. Daniel Schunk, 2006. "The German SAVE Survey: Documentation and Methodology," MEA discussion paper series 06109, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
  26. Joost Ginkel & Pieter Kroonenberg, 2014. "Using Generalized Procrustes Analysis for Multiple Imputation in Principal Component Analysis," Journal of Classification, Springer;The Classification Society, vol. 31(2), pages 242-269, July.
  27. Eric French & John Bailey Jones, 2011. "The Effects of Health Insurance and Self‐Insurance on Retirement Behavior," Econometrica, Econometric Society, vol. 79(3), pages 693-732, May.
  28. Daniel Schunk, 2007. "A Markov Chain Monte Carlo Multiple Imputation Procedure for Dealing with Item Nonresponse in the German SAVE Survey," MEA discussion paper series 07121, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
  29. Leroutier, Marion & Quirion, Philippe, 2022. "Air pollution and CO2 from daily mobility: Who emits and Why? Evidence from Paris," Energy Economics, Elsevier, vol. 109(C).
  30. Miguel Székely & Marianne Hilgert, 1999. "What's Behind the Inequality we Measure: An Investigation Using Latin American Data," Research Department Publications 4188, Inter-American Development Bank, Research Department.
  31. Olinsky, Alan & Chen, Shaw & Harlow, Lisa, 2003. "The comparative efficacy of imputation methods for missing data in structural equation modeling," European Journal of Operational Research, Elsevier, vol. 151(1), pages 53-79, November.
  32. Gianluca Gazzola & Myong K. Jeong, 2021. "Support vector regression for polyhedral and missing data," Annals of Operations Research, Springer, vol. 303(1), pages 483-506, August.
  33. 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.
  34. Renate S M Buisman & Katharina Pittner & Marieke S Tollenaar & Jolanda Lindenberg & Lisa J M van den Berg & Laura H C G Compier-de Block & Joost R van Ginkel & Lenneke R A Alink & Marian J Bakermans-K, 2020. "Intergenerational transmission of child maltreatment using a multi-informant multi-generation family design," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-23, March.
  35. A. R. Linero, 2017. "Bayesian nonparametric analysis of longitudinal studies in the presence of informative missingness," Biometrika, Biometrika Trust, vol. 104(2), pages 327-341.
  36. 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.
  37. Mark E. McGovern, 2019. "How much does birth weight matter for child health in developing countries? Estimates from siblings and twins," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 3-22, January.
  38. Stephen D. Oliner & Morris A. Davis & Will Larson, 2019. "Mortgage risk since 1990," AEI Economics Working Papers 1001502, American Enterprise Institute.
  39. Brownstone, David, 1997. "Multiple Imputation Methodology for Missing Data, Non-Random Response, and Panel Attrition," University of California Transportation Center, Working Papers qt2zd6w6hh, University of California Transportation Center.
  40. Gabriele B. Durrant & Chris Skinner, 2006. "Using data augmentation to correct for non‐ignorable non‐response when surrogate data are available: an application to the distribution of hourly pay," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 605-623, July.
  41. Mingyang Cai & Gerko Vink, 2022. "A note on imputing squares via polynomial combination approach," Computational Statistics, Springer, vol. 37(5), pages 2185-2201, November.
  42. Yu, Chin-Hsien & Huang, Shih-Kai & Qin, Ping & Chen, Xiaolan, 2018. "Local residents' risk perceptions in response to shale gas exploitation: Evidence from China," Energy Policy, Elsevier, vol. 113(C), pages 123-134.
  43. Rebecca R. Andridge & Roderick J. A. Little, 2010. "A Review of Hot Deck Imputation for Survey Non‐response," International Statistical Review, International Statistical Institute, vol. 78(1), pages 40-64, April.
  44. 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.
  45. Eduardo Lora & Miguel Benítez & Diego Gutiérrez, 2021. "Annualizing Labor Market, Inequality, and Poverty Indicators," Commitment to Equity (CEQ) Working Paper Series 113, Tulane University, Department of Economics.
  46. Hendrik Jürges & Lars Thiel & Tabea Bucher-Koenen & Johannes Rausch & Morten Schuth & Axel Börsch-Supan, 2014. "Health, Financial Incentives, and Early Retirement: Microsimulation Evidence for Germany," NBER Chapters, in: Social Security Programs and Retirement Around the World: Disability Insurance Programs and Retirement, pages 285-330, National Bureau of Economic Research, Inc.
  47. Siddique, Juned & Harel, Ofer, 2009. "MIDAS: A SAS Macro for Multiple Imputation Using Distance-Aided Selection of Donors," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 29(i09).
  48. Geert Loosveldt & Koen Beullens, 2014. "A Procedure to Assess Interviewer Effects on Nonresponse Bias," SAGE Open, , vol. 4(1), pages 21582440145, February.
  49. Zachary H. Seeskin, 2016. "Evaluating the Use of Commercial Data to Improve Survey Estimates of Property Taxes," CARRA Working Papers 2016-06, Center for Economic Studies, U.S. Census Bureau.
  50. Lin, Tian & Harris, Elizabeth A. & Heemskerk, Amber & Van Bavel, Jay J. & Ebner, Natalie C., 2021. "A multi-national test on self-reported compliance with COVID-19 public health measures: The role of individual age and gender demographics and countries’ developmental status," Social Science & Medicine, Elsevier, vol. 286(C).
  51. Youngseung Koh & Yeonsu Oh & Haesung Park & Woorim Kim & Eun-Cheol Park, 2020. "The Relationship between Physical Exercise and Cognitive Function in Korean Middle Aged and Elderly Adults without Dementia," IJERPH, MDPI, vol. 17(23), pages 1-11, November.
  52. 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.
  53. Williams, Randi M. & Zhang, Jing & Woodard, Nathaniel & Slade, Jimmie & Santos, Sherie Lou Zara & Knott, Cheryl L., 2020. "Development and validation of an instrument to assess institutionalization of health promotion in faith-based organizations," Evaluation and Program Planning, Elsevier, vol. 79(C).
  54. Mark Huisman, 2000. "Imputation of Missing Item Responses: Some Simple Techniques," Quality & Quantity: International Journal of Methodology, Springer, vol. 34(4), pages 331-351, November.
  55. Jensen, Are & Clausen, Tommy H., 2017. "Origins and emergence of exploration and exploitation capabilities in new technology-based firms," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 163-175.
  56. Steven J. Haider & Melvin Stephens, 2007. "Is There a Retirement-Consumption Puzzle? Evidence Using Subjective Retirement Expectations," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 247-264, May.
  57. F. Di Lascio & Simone Giannerini & Alessandra Reale, 2015. "Exploring copulas for the imputation of complex dependent data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(1), pages 159-175, March.
  58. Miguel Székely & Marianne Hilgert, 1999. "¿Qué hay detrás de la desigualdad cuantificada: investigación empleando datos de América Latina," Research Department Publications 4189, Inter-American Development Bank, Research Department.
  59. Ankita Patnaik & Jeffrey Hemmeter & Arif Mamun, "undated". "Promoting Readiness of Minors with Autism Spectrum Disorder: Evidence from a Randomized Controlled Trial," Mathematica Policy Research Reports a74c93d9bdce40709ad81cdbc, Mathematica Policy Research.
  60. Kristian Kleinke & Jost Reinecke, 2013. "Multiple imputation of incomplete zero-inflated count data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 67(3), pages 311-336, August.
  61. Marco Di Zio & Ugo Guarnera, 2008. "A multiple imputation method for non-Gaussian data," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 75-90.
  62. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Incomplete panels and selection bias : A survey," Discussion Paper 1992-7, Tilburg University, Center for Economic Research.
  63. Jared S. Murray & Jerome P. Reiter, 2016. "Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models With Local Dependence," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1466-1479, October.
  64. Jonathan Hambur & Gianni La Cava, 2018. "Do Interest Rates Affect Business Investment? Evidence from Australian Company-level Data," RBA Research Discussion Papers rdp2018-05, Reserve Bank of Australia.
  65. Rässler, Susanne & Koller, Florian & Mäenpää, Christine, 2002. "A split questionnaire survey design applied to German media and consumer surveys," Discussion Papers 42b/2002, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Statistics and Econometrics.
  66. Miguel Székely & Nora Lustig & Martin Cumpa & José Antonio Mejía-Guerra, 2000. "¿Sabemos qué tanta pobreza hay?," Research Department Publications 4240, Inter-American Development Bank, Research Department.
  67. Arif Mamun & David Wittenburg & Noelle Denny-Brown & Michael Levere & David Mann & Rebecca Coughlin & Sarah Croake & Heather Gordon & Denise Hoffman & Rachel Holzwart & Rosalind Keith & Brittany McGil, "undated". "Promoting Opportunity Demonstration: Interim Evaluation Report," Mathematica Policy Research Reports caa99d38a8b14f968ea3438e5, Mathematica Policy Research.
  68. Benjamin F. Springgate & Armen C. Arevian & Ashley Wennerstrom & Arthur J. Johnson & David P. Eisenman & Olivia K. Sugarman & Catherine G. Haywood & Edward J. Trapido & Cathy D. Sherbourne & Ashley Ev, 2018. "Community Resilience Learning Collaborative and Research Network (C-LEARN): Study Protocol with Participatory Planning for a Randomized, Comparative Effectiveness Trial," IJERPH, MDPI, vol. 15(8), pages 1-16, August.
  69. Chuang, Emmeline & Wells, Rebecca, 2010. "The role of inter-agency collaboration in facilitating receipt of behavioral health services for youth involved with child welfare and juvenile justice," Children and Youth Services Review, Elsevier, vol. 32(12), pages 1814-1822, December.
  70. 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.
  71. Dahl, Fredrik A., 2007. "Convergence of random k-nearest-neighbour imputation," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 5913-5917, August.
  72. Frank Potter & Eric Grau & John Czajka & Dan Scheer & Mark Levitan, "undated". "Imputation Variance Estimation Protocols for the NAS Poverty Measure: The New York City Poverty Measure Experience," Mathematica Policy Research Reports 77be49e0f91f41e888de5139e, Mathematica Policy Research.
  73. Rabea Aschenbruck & Gero Szepannek & Adalbert F. X. Wilhelm, 2023. "Imputation Strategies for Clustering Mixed-Type Data with Missing Values," Journal of Classification, Springer;The Classification Society, vol. 40(1), pages 2-24, April.
  74. Nicolás E. Barceló & Enrico G. Castillo & Roya Ijadi-Maghsoodi & Nichole Goodsmith & Lingqi Tang & David Okikawa & Felica Jones & Pluscedia Williams & Christopher Benitez & Bowen Chung & Kenneth B. We, 2022. "Multi-Sector Assessment and Client-Perception of Social Need at Long-Term Follow-Up of a Group-Randomized Trial of Community-Engaged Collaborative Care for Adults with Depression," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
  75. Rässler, Susanne & Schnell, Rainer, 2004. "Multiple imputation for unit-nonresponse versus weighting including a comparison with a nonresponse follow-up study," Discussion Papers 65/2004, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Statistics and Econometrics.
  76. Matthias von Davier & Youngmi Cho & Tianshu Pan, 2019. "Effects of Discontinue Rules on Psychometric Properties of Test Scores," Psychometrika, Springer;The Psychometric Society, vol. 84(1), pages 147-163, March.
  77. Gabriele Beissel-Durrant & Chris Skinner, 2003. "Estimation of the Distribution of Hourly Pay from Household Survey Data: The Use of Missing Data Methods to Handle Measurement Error," CeMMAP working papers CWP12/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  78. Miguel Szekely & Nora Lustig & Martin Cumpa & Jose Antonio Mejia, 2004. "Do we know how much poverty there is?," Oxford Development Studies, Taylor & Francis Journals, vol. 32(4), pages 523-558.
  79. Shlomo, Natalie & Skinner, Chris J. & Schouten, Barry, 2012. "Estimation of an indicator of the representativeness of survey response," LSE Research Online Documents on Economics 39124, London School of Economics and Political Science, LSE Library.
  80. Leonie C. Steckermeier & Jan Delhey, 2019. "Better for Everyone? Egalitarian Culture and Social Wellbeing in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(3), pages 1075-1108, June.
  81. Gianni La Cava & John Simon, 2003. "A Tale of Two Surveys: Household Debt and Financial Constraints in Australia," RBA Research Discussion Papers rdp2003-08, Reserve Bank of Australia.
  82. Zalewska Marta & Niemiro Wojciech & Samoliński Bolesław, 2010. "MCMC imputation in autologistic model," Monte Carlo Methods and Applications, De Gruyter, vol. 16(3-4), pages 421-438, January.
  83. Gerko Vink & Laurence E. Frank & Jeroen Pannekoek & Stef Buuren, 2014. "Predictive mean matching imputation of semicontinuous variables," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(1), pages 61-90, February.
  84. Patrick M. Joyce & Donald Malec & Roderick J. A. Little & Aaron Gilary & Alfredo Navarro & Mark E. Asiala, 2014. "Statistical Modeling Methodology for the Voting Rights Act Section 203 Language Assistance Determinations," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(505), pages 36-47, March.
  85. Grabka, Markus & Westermeier, Christian, 2014. "Estimating the Impact of Alternative Multiple Imputation Methods on Longitudinal Wealth Data," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100353, Verein für Socialpolitik / German Economic Association.
  86. Juana Sanchez & Sydney Noelle Kahmann, 2017. "R&D, Attrition and Multiple Imputation in BRDIS," Working Papers 17-13, Center for Economic Studies, U.S. Census Bureau.
  87. Huyghues-Beaufond, Nathalie & Tindemans, Simon & Falugi, Paola & Sun, Mingyang & Strbac, Goran, 2020. "Robust and automatic data cleansing method for short-term load forecasting of distribution feeders," Applied Energy, Elsevier, vol. 261(C).
  88. Ann-Marie Küchler & Dana Schultchen & Tim Dretzler & Morten Moshagen & David D. Ebert & Harald Baumeister, 2023. "A Three-Armed Randomized Controlled Trial to Evaluate the Effectiveness, Acceptance, and Negative Effects of StudiCare Mindfulness, an Internet- and Mobile-Based Intervention for College Students with," IJERPH, MDPI, vol. 20(4), pages 1-23, February.
  89. Julie L. Hotchkiss & Robert E. Moore & Fernando Rios-Avila, 2021. "Impact of the 2017 Tax Cuts and Jobs Act on Labor Supply and Welfare of Married Households," FRB Atlanta Working Paper 2021-18, Federal Reserve Bank of Atlanta.
  90. Marco Di Zio & Ugo Guarnera & Roberta Varriale, 2016. "Estimation of the main variables of the economic account of small and medium enterprises based on administrative sources," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 18(1), pages 71-81.
  91. Luci Ellis & Jeremy Lawson & Laura Roberts-Thomson, 2003. "Housing Leverage in Australia," RBA Research Discussion Papers rdp2003-09, Reserve Bank of Australia.
  92. Saeideh Kamgar & Florian Meinfelder & Ralf Münnich & Hamidreza Navvabpour, 2020. "Estimation within the new integrated system of household surveys in Germany," Statistical Papers, Springer, vol. 61(5), pages 2091-2117, October.
  93. Frick, Joachim R. & Grabka, Markus M., 2007. "Item Non-Response and Imputation of Annual Labor Income in Panel Surveys from a Cross-National Perspective," IZA Discussion Papers 3043, Institute of Labor Economics (IZA).
  94. Wenbao Zeng & Ketong Wang & Jianghua Zhou & Rongjun Cheng, 2023. "Traffic Flow Prediction Based on Hybrid Deep Learning Models Considering Missing Data and Multiple Factors," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
  95. 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.
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  97. Eisele, Martin & Zhu, Junyi, 2013. "Multiple imputation in a complex household survey - the German Panel on Household Finances (PHF): challenges and solutions," EconStor Preprints 100007, ZBW - Leibniz Information Centre for Economics.
  98. Schenker, Nathaniel & Taylor, Jeremy M. G., 1996. "Partially parametric techniques for multiple imputation," Computational Statistics & Data Analysis, Elsevier, vol. 22(4), pages 425-446, August.
  99. repec:jss:jstsof:29:i09 is not listed on IDEAS
  100. Reeko Watanabe & Tsunemi Watanabe, 2020. "Does Haze Drive Pro-Environmental and Energy Conservation Behaviors? Evidence from the Beijing-Tianjin-Hebei Area in China," Sustainability, MDPI, vol. 12(23), pages 1, November.
  101. Lina Braun & Yannik Terhorst & Ingrid Titzler & Johanna Freund & Janika Thielecke & David Daniel Ebert & Harald Baumeister, 2022. "Lessons Learned from an Attempted Pragmatic Randomized Controlled Trial for Improvement of Chronic Pain-Associated Disability in Green Professions: Long-Term Effectiveness of a Guided Online-Based Acc," IJERPH, MDPI, vol. 19(21), pages 1-24, October.
  102. Brad R. Humphreys & Yang Seung Lee & Brian P. Soebbing, 2010. "Consumer behaviour in lottery: the double hurdle approach and zeros in gambling survey data," International Gambling Studies, Taylor & Francis Journals, vol. 10(2), pages 165-176, August.
  103. Marco Di Zio & Ugo Guarnera, 2009. "Semiparametric predictive mean matching," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 93(2), pages 175-186, June.
  104. 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.
  105. Dang,Hai-Anh H. & Lanjouw,Peter F. & Serajuddin,Umar & Dang,Hai-Anh H. & Lanjouw,Peter F. & Serajuddin,Umar, 2014. "Updating poverty estimates at frequent intervals in the absence of consumption data : methods and illustration with reference to a middle-income country," Policy Research Working Paper Series 7043, The World Bank.
  106. Gary Madden & María Rosalía Vicente & Paul Rappoport & Andy Banerjee, 2017. "A contribution on the nature and treatment of missing data in large market surveys," Applied Economics, Taylor & Francis Journals, vol. 49(22), pages 2179-2187, May.
  107. Youngjoo Cho & Debashis Ghosh, 2021. "Quantile-Based Subgroup Identification for Randomized Clinical Trials," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(1), pages 90-128, April.
  108. Siddique, Juned & Belin, Thomas R., 2008. "Using an Approximate Bayesian Bootstrap to multiply impute nonignorable missing data," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 405-415, December.
  109. Christopher R. Bollinger & Barry T. Hirsch, 2010. "GDP & Beyond – die europäische Perspektive," RatSWD Working Papers 165, German Data Forum (RatSWD).
  110. Rezaei, Sajad, 2015. "Segmenting consumer decision-making styles (CDMS) toward marketing practice: A partial least squares (PLS) path modeling approach," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 1-15.
  111. Adel Bosch & Steven F. Koch, 2021. "Individual and Household Debt: Does Imputation Choice Matter?," Working Papers 202141, University of Pretoria, Department of Economics.
  112. Zhan Liu & Chun Yip Yau, 2022. "A propensity score adjustment method for longitudinal time series models under nonignorable nonresponse," Statistical Papers, Springer, vol. 63(1), pages 317-342, February.
  113. Julie L. Hotchkiss, 2022. "Millennials: Maligned or miscreants?," Southern Economic Journal, John Wiley & Sons, vol. 88(4), pages 1248-1276, April.
  114. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Incomplete panels and selection bias : A survey," Other publications TiSEM 65401dae-613b-4e10-a8ae-c, Tilburg University, School of Economics and Management.
  115. John Fry & Andrew Brint, 2017. "Bubbles, Blind-Spots and Brexit," Risks, MDPI, vol. 5(3), pages 1-15, July.
  116. Michael Hurd & Elaine Reardon, 2003. "Real Wealth Changes from 1982 to 1991 Among the Newly Retired," Working Papers 03-15, RAND Corporation.
  117. Xiong, Ruoxuan & Pelger, Markus, 2023. "Large dimensional latent factor modeling with missing observations and applications to causal inference," Journal of Econometrics, Elsevier, vol. 233(1), pages 271-301.
  118. 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.
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