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Citations for "Missing-Data Adjustments in Large Surveys"

by Little, Roderick J A

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  1. Verbeek, M. & Nijman, T., 1992. "Incomplete Panels and Selection Bias: A Survey," Papers 9207, Tilburg - Center for Economic Research.
  2. 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.
  3. Christopher R. Bollinger & Barry T. Hirsch, 2010. "GDP & Beyond – die europäische Perspektive," Working Paper Series of the German Council for Social and Economic Data 165, German Council for Social and Economic Data (RatSWD).
  4. Frank Potter & Eric Grau & John Czajka & Dan Scheer & Mark Levitan, 2010. "Imputation Variance Estimation Protocols for the NAS Poverty Measure The New York City Poverty Measure Experience," Mathematica Policy Research Reports 77be49e0f91f41e888de5139e, Mathematica Policy Research.
  5. 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, 05.
  6. Joachim R. Frick & Markus M. Grabka, 2007. "Item Non-response and Imputation of Annual Labor Income in Panel Surveys from a Cross-National Perspective," Discussion Papers of DIW Berlin 736, DIW Berlin, German Institute for Economic Research.
  7. 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.
  8. Joost Ginkel & Pieter Kroonenberg, 2014. "Using Generalized Procrustes Analysis for Multiple Imputation in Principal Component Analysis," Journal of Classification, Springer, vol. 31(2), pages 242-269, July.
  9. Grabka, Markus & Westermeier, Christian, 2014. "Estimating the Impact of Alternative Multiple Imputation Methods on Longitudinal Wealth Data," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100353, Verein für Socialpolitik / German Economic Association.
  10. Martin, Eisele & Zhu, Junyi, 2013. "Multiple imputation in a complex household survey - the German Panel on Household Finances (PHF): challenges and solutions," MPRA Paper 57666, University Library of Munich, Germany.
  11. Michael D. Hurd, 1998. "Anchoring Effects in the HRS: Experimental and Nonexperimental Evidence," NBER Technical Working Papers 0219, National Bureau of Economic Research, Inc.
  12. Joachim Inkmann, 2001. "Accounting for Nonresponse Heterogeneity in Panel Data," CoFE Discussion Paper 01-03, Center of Finance and Econometrics, University of Konstanz.
  13. 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.
  14. Miguel Székely & Nora Lustig & Martin Cumpa & José Antonio Mejía-Guerra, 2000. "Do We Know How Much Poverty There Is?," Research Department Publications 4239, Inter-American Development Bank, Research Department.
  15. 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.
  16. Michael Hurd & Elaine Reardon, 2003. "Real Wealth Changes from 1982 to 1991 Among the Newly Retired," Working Papers 03-15, RAND Corporation Publications Department.
  17. 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.
  18. 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.
  19. 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.
  20. Steven Haider & Melvin Stephens Jr., 2004. "Is There a Retirement-Consumption Puzzle? Evidence Using Subjective Retirement Expectations," NBER Working Papers 10257, National Bureau of Economic Research, Inc.
  21. Luci Ellis & Jeremy Lawson & Laura Roberts-Thomson, 2003. "Housing Leverage in Australia," RBA Research Discussion Papers rdp2003-09, Reserve Bank of Australia.
  22. 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.
  23. Gabriele Beissel Durrant, 2009. "Imputation Methods for Handling Item-Nonresponse in the Social Sciences: A Methodological Review," Working Papers id:2007, eSocialSciences.
  24. repec:mpr:mprres:6788 is not listed on IDEAS
  25. Hendrik Jürges & Lars Thiel & Tabea Bucher-Koenen & Johannes Rausch & Morten Schuth & Axel Börsch-Supan, 2014. "Health, financial incentives, and early retirement: Micro-simulation evidence for Germany," Schumpeter Discussion Papers SDP14003, Universitätsbibliothek Wuppertal, University Library.
  26. Juned Siddique & Ofer Harel, . "MIDAS: A SAS Macro for Multiple Imputation Using Distance-Aided Selection of Donors," Journal of Statistical Software, American Statistical Association, vol. 29(i09).
  27. 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.
  28. 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.
  29. Natalie Shlomo & Chris J. Skinner & Barry Schouten, 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.
  30. F. Di Lascio & Simone Giannerini & Alessandra Reale, 2015. "Exploring copulas for the imputation of complex dependent data," Statistical Methods and Applications, Springer, vol. 24(1), pages 159-175, March.
  31. 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.
  32. 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.
  33. Raymundo M. Campos-Vazquez, 2013. "Efectos de los ingresos no reportados en el nivel y tendencia de la pobreza laboral en México," Serie documentos de trabajo del Centro de Estudios Económicos 2013-04, El Colegio de México, Centro de Estudios Económicos.
  34. 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, ZBW - German National Library of Economics, pages 192-224.
  35. Seppo Laaksonen, 2003. "Alternative imputation techniques for complex metric variables," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(9), pages 1009-1020.
  36. 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.
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