Recovering precision from seemingly redundant rounded data

Irwin L. Collier, Badi H Baltagi

Research output: Contribution to journalArticle

Abstract

Economic time series from the socialist economies of Eastern Europe and the Soviet Union are often not available. Instead, a matrix of rounded growth indexes for different base years is published. Using the constrained least squares and feasible GLS estimators developed in this paper, it is possible to predict the true matrix of growth indexes with greatly improved accuracy.

Original languageEnglish (US)
Pages (from-to)457-465
Number of pages9
JournalJournal of Forecasting
Volume9
Issue number5
DOIs
StatePublished - 1990
Externally publishedYes

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Keywords

  • Constrained least squares
  • Generalized least squares
  • Index
  • Numbers
  • Rounding errors
  • Socialist economic data

ASJC Scopus subject areas

  • Strategy and Management
  • Computer Science Applications
  • Management Science and Operations Research
  • Statistics, Probability and Uncertainty
  • Modeling and Simulation

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