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Bias and Stability of Multiplier Estimates

Authors: Roland-Holst, David W;

Bias and Stability of Multiplier Estimates

Abstract

A number of analytical contributions have given sufficient conditions under which Leontief multiplier estimates are biased. This paper uses empirical data and a Monte Carlo framework to evaluate the problem of bias and obtains the opposite conclusions. For practical purposes, it appears that linear multiplier estimates are unbiased. The variance properties of these estimates are also evaluated. Copyright 1989 by MIT Press.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Average
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