A Note on Rubin's Statistical Matching Using File Concatenation with Adjusted Weights and Multiple Imputations
AbstractStatistical matching has been used for more than 30 years to combine information contained in two sample survey files. Rubin (1986) outlined an imputation procedure for statistical matching that is different from almost all other work on this topic. Here we evaluate and extend Rubin's procedure.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoArticle provided by American Statistical Association in its journal Journal of Business and Economic Statistics.
Volume (Year): 21 (2003)
Issue (Month): 1 (January)
Contact details of provider:
Web page: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Azizur Rahman & Ann Harding & Robert Tanton & Shuangzhe Liu, 2010. "Methodological Issues in Spatial Microsimulation Modelling for Small Area Estimation," International Journal of Microsimulation, Interational Microsimulation Association, vol. 3(2), pages 3-22.
- Rutherford, Thomas & Tarr, David & Shepotylo, Oleksandr, 2005. "Poverty effects of Russia's WTO accession : modeling"real"households and endogenous productivity effects," Policy Research Working Paper Series 3473, The World Bank.
- Tarr, David G., 2012.
"Putting services and foreign direct investment with endogenous productivity effects in computable general equilibrium models,"
Policy Research Working Paper Series
6012, The World Bank.
- Clinton P. McCully, 2013. "Integration of Micro and Macro Data on Consumer Income and Expenditures," BEA Working Papers 0101, Bureau of Economic Analysis.
- Kiesl, Hans & Rässler, Susanne, 2006. "How valid can data fusion be?," IAB Discussion Paper 200615, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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.