Multivariate Data Imputation using Trees

This file is part of IDEAS, which uses RePEc data

Multivariate Data Imputation using Trees

Author Info

Maria Jesus Barcena Ruiz () (Departamento de Econometria y Estadistica, Universidad del Pais Vasco, Spain)
Fernando Tusell Palmer () (Departamento de Econometria y Estadistica, Universidad del País Vasco, Spain)

Additional information is available for the following registered author(s):

Fernando Tusell-Palmer

Abstract

We address the problem of completing two files with records containing a fully observed common subset of variables. The tecnique investigated involves the use of regression and/or classification trees. An extension of current methodology (the intersection-seeking or "forest-climbing" algorithm) is proposed to deal with multivariate response variables. The method is demonstrated and shown to be feasible and have some desirable properties.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

Publisher Info
Paper provided by Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística) in its series BILTOKI with number 200205.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length:
Date of creation: 27 Nov 2002
Date of revision:
Handle: RePEc:ehu:biltok:200205

Contact details of provider:
Postal: Avda. Lehendakari, Aguirre, 83, 48015 Bilbao
Phone: + 34 94 601 3740
Fax: + 34 94 601 3754
Email:
Web page: http://www.et.bs.ehu.es
More information through EDIRC

Order Information:
Postal: Dpto. de Econometría y Estadística, Facultad de CC. Económicas y Empresariales, Universidad del País Vasco, Avda. Lehendakari Aguirre 83, 48015 Bilbao, Spain
Email:

For technical questions regarding this item, or to correct its listing, contact: (Ainhoa Zarraga).

Find related papers by JEL classification:
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing

This paper has been announced in the following NEP Reports:

NEP-ALL-2003-01-12 (All new papers)
NEP-CMP-2003-01-12 (Computational Economics)
NEP-ECM-2003-01-12 (Econometrics)

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

Rubin, Donald B, 1986. "Statistical Matching Using File Concatenation with Adjusted Weights and Multiple Imputations," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 87-94, January.
Ciampi, Antonio, 1991. "Generalized regression trees," Computational Statistics & Data Analysis, Elsevier, vol. 12(1), pages 57-78, August. [Downloadable!] (restricted)

Full references

Statistics
Access and download statistics

Did you know? Cannot find something on IDEAS? Encourage the publisher to index it! Instructions.

This page was last updated on 2008-9-30.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.