Logo
Munich Personal RePEc Archive

Stochastic input-output modeling

Gurgul, Henryk (2007): Stochastic input-output modeling. Published in: Managerial Economics , Vol. 1, No. 2 (2007): pp. 57-70.

[thumbnail of MPRA_paper_68573.pdf]
Preview
PDF
MPRA_paper_68573.pdf

Download (449kB) | Preview

Abstract

Input-output data (IO data) are compiled by survey methods, which are based on a sample. It is well known, that IO matrices are not stable over time. Therefore different actualizations methods have been developed. Econometric methods play important role in the realization of input-output matrices. These methods, on the basis of the relevant data, can facilitate the formulation of IO value forecasts. Established parameter and random term estimators are a source of uncertainty for IO parameters. In a historical perspective the author discusses stochastic methods in IO theory as well as their applications.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.