Much Ado About Nothing: A Comparison of Missing Data Methods and Software to Fit Incomplete Data Regression Models
AbstractNo abstract is available for this item.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by American Statistical Association in its journal The American Statistician.
Volume (Year): 61 (2007)
Issue (Month): (February)
Contact details of provider:
Web page: http://www.amstat.org/publications/tas/index.cfm?fuseaction=main
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Jesús Duarte & María Soledad Bos & Martín Moreno, 2010. "Los docentes, las escuelas y los aprendizajes escolares en América Latina: Un estudio regional usando la base de datos del SERCE," IDB Publications 8555, Inter-American Development Bank.
- Valentino Dardanoni & Salvatore Modica & Franco Peracchi, 2009.
"Regression with Imputed Covariates:a Generalized Missing Indicator Approach,"
CEIS Research Paper
150, Tor Vergata University, CEIS, revised 08 Oct 2009.
- Dardanoni, Valentino & Modica, Salvatore & Peracchi, Franco, 2011. "Regression with imputed covariates: A generalized missing-indicator approach," Journal of Econometrics, Elsevier, vol. 162(2), pages 362-368, June.
- Valentino Dardanoni & Salvatore Modica & Franco Peracchi, 2011. "Regression with imputed covariates: A generalized missing-indicator approach," Post-Print peer-00815561, HAL.
- Cain Polidano & Ha Vu, 2012. "Labour Market Impacts from Disability Onset," Melbourne Institute Working Paper Series wp2012n22, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
- Madden, D.;, 2013.
"The Relationship Between Low Birthweight and Socioeconomic Status in Ireland,"
Health, Econometrics and Data Group (HEDG) Working Papers
13/03, HEDG, c/o Department of Economics, University of York.
- David Madden, 2012. "The Relationship Between Low Birthweight and Socioeconomic Status in Ireland," Working Papers 201214, School Of Economics, University College Dublin.
- Hapfelmeier, A. & Hothorn, T. & Ulm, K., 2012. "Recursive partitioning on incomplete data using surrogate decisions and multiple imputation," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1552-1565.
- Gedikoglu, Haluk & Parcell, Joseph, 2013. "Implications of Survey Sampling Design for Missing Data Imputation," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149679, Agricultural and Applied Economics Association.
- Consentino, Fabrizio & Claeskens, Gerda, 2010. "Order selection tests with multiply imputed data," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2284-2295, October.
- Castellacci, Fulvio & Natera, Jose Miguel, 2011.
"A new panel dataset for cross-country analyses of national systems, growth and development (CANA),"
28376, University Library of Munich, Germany.
- Fulvio Castellacci & José Miguel Natera, 2011. "A new panel dataset for cross-country analyses of national systems, growth and development (CANA)," Working Papers del Instituto Complutense de Estudios Internacionales 05-11, Universidad Complutense de Madrid, Instituto Complutense de Estudios Internacionales.
- 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).
- Schomaker, Michael & Heumann, Christian, 2014. "Model selection and model averaging after multiple imputation," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 758-770.
- Kristian Kleinke & Mark Stemmler & Jost Reinecke & Friedrich Lösel, 2011. "Efficient ways to impute incomplete panel data," AStA Advances in Statistical Analysis, Springer, vol. 95(4), pages 351-373, December.
- Valentino Dardanoni & Giuseppe De Luca & Salvatore Modica & Franco Peracchi, 2011.
"A Generalized Missing-Indicator Approach to Regression with Imputed Covariates,"
EIEF Working Papers Series
1111, Einaudi Institute for Economics and Finance (EIEF), revised May 2011.
- Valentino Dardanoni & Giuseppe De Luca & Salvatore Modica & Franco Peracchi, 2012. "A generalized missing-indicator approach to regression with imputed covariates," Stata Journal, StataCorp LP, vol. 12(4), pages 575-604, December.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.