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A note on the underestimation and overestimation in stochastic input-output models

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  • Lahiri, Sajal

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  • Lahiri, Sajal, 1983. "A note on the underestimation and overestimation in stochastic input-output models," Economics Letters, Elsevier, vol. 13(4), pages 361-366.
    • Handle: RePEc:eee:ecolet:v:13:y:1983:i:4:p:361-366
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    Cited by:

    1. Marco Percoco, 2004. "A Statistical Model for the Identification of Key Sectors in I-O Models," ERSA conference papers ersa04p90, European Regional Science Association.
    2. Kumar, Indraneel & Tyner, Wallace E. & Sinha, Kumares C., 2016. "Input–output life cycle environmental assessment of greenhouse gas emissions from utility scale wind energy in the United States," Energy Policy, Elsevier, vol. 89(C), pages 294-301.
    3. Malcolm Beynon & Max Munday & Annette Roberts, 2005. "Ranking sectors using fuzzy output multipliers," Economic Systems Research, Taylor & Francis Journals, vol. 17(3), pages 237-253.
    4. Umed Temurshoev, 2015. "Uncertainty treatment in input-output analysis," Working Papers 2015-004, Universidad Loyola Andalucía, Department of Economics.
    5. Marco Percoco & Geoffrey Hewings & Lanfranco Senn, 2006. "Structural change decomposition through a global sensitivity analysis of input-output models," Economic Systems Research, Taylor & Francis Journals, vol. 18(2), pages 115-131.
    6. 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.
    7. Manfred Lenzen, 2001. "A Generalized Input-Output Multiplier Calculus for Australia," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 65-92.

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