Recovering Information from Incomplete or Partial Multisectoral Economic Data

Amos Golan, George Judge (gjudge@berkeley.edu) and Sherman Robinson

The Review of Economics and Statistics, 1994, vol. 76, issue 3, 541-49

Abstract: The problem of recovering the entries of a large matrix of expenditure, trade, or income flows from limited-incomplete multisectoral economic data is considered. Making use of some consistency and adding up restrictions, the problem is cast as a pure inverse problem and specified within a nonlinear optimization framework. Estimates of the unknown entries are provided along with an overall measure of uncertainty for the complete matrix and a measure of uncertainty for the individual elements. Artificial and real data are used to illustrate how the procedures may be applied and interpreted and to gauge performance under entropy and squared error measures. Copyright 1994 by MIT Press.

Date: 1994
References: Add references at CitEc
Citations: View citations in EconPapers (114)

Downloads: (external link)
http://links.jstor.org/sici?sici=0034-6535%2819940 ... 0.CO%3B2-E&origin=bc full text (application/pdf)
Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tpr:restat:v:76:y:1994:i:3:p:541-49

Ordering information: This journal article can be ordered from
https://mitpressjour ... rnal/?issn=0034-6535

Access Statistics for this article

The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu

More articles in The Review of Economics and Statistics from MIT Press
Bibliographic data for series maintained by The MIT Press (mitp-repec@mit.edu).