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Bias and Stability of Multiplier Estimates

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  • Roland-Holst, David W

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.

Suggested Citation

  • Roland-Holst, David W, 1989. "Bias and Stability of Multiplier Estimates," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 718-721, November.
    • Handle: RePEc:tpr:restat:v:71:y:1989:i:4:p:718-21
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    Cited by:

    1. Thijs Ten Raa & José Manuel Rueda-Cantuche, 2005. "Output and Employment Input-Output Multipliers on the basis of Use and Make Matrices," ERSA conference papers ersa05p282, European Regional Science Association.
    2. Umed Temurshoev, 2015. "Uncertainty treatment in input-output analysis," Working Papers 2015-004, Universidad Loyola Andalucía, Department of Economics.
    3. Nagashima, Fumiya, 2018. "The sign reversal problem in structural decomposition analysis," Energy Economics, Elsevier, vol. 72(C), pages 307-312.
    4. Rueda-Cantuche, José M. & Amores, Antonio F., 2010. "Consistent and unbiased carbon dioxide emission multipliers: Performance of Danish emission reductions via external trade," Ecological Economics, Elsevier, vol. 69(5), pages 988-998, March.
    5. Hermans, Raine, . "International Mega-Trends and Growth Prospects of the Finnish Bio-technology Industry - Essays on New Economic Geography, Market Structure of the Pharmaceutical Industry, Sources of Financing, Intelle," ETLA A, The Research Institute of the Finnish Economy, number 40.

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