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Uncertainty in Integrated Regional Models

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Author Info

  • Sergio Rey
  • Guy West
  • Mark Janikas

Abstract

This paper examines the nature of uncertainty in integrated econometric+input-output (ECIO) regional models. We focus on three sources of uncertainty: (a) econometric model parameter uncertainty; (b) econometric disturbance term uncertainty; and (c) input-output coefficient uncertainty. Through a series of Monte Carlo simulations we analyse the relative importance of each component as well as the question of how their interaction may propagate through the integrated model to affect the distributions of the endogenous variables. Our results suggest that there is no simple answer to the question of which source of uncertainty is most important in an integrated model. Instead, that answer is conditioned upon the focus of the analysis and whether the industry specific or macro level variables are of central concerns.

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File URL: http://www.tandfonline.com/doi/abs/10.1080/0953531042000239365
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Bibliographic Info

Article provided by Taylor and Francis Journals in its journal Economic Systems Research.

Volume (Year): 16 (2004)
Issue (Month): 3 ()
Pages: 259-277

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Handle: RePEc:taf:ecsysr:v:16:y:2004:i:3:p:259-277

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Related research

Keywords: Input-output; econometric; integrated model; uncertainty;

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References

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  1. West, Guy R, 1986. "A Stochastic Analysis of an Input-Output Model," Econometrica, Econometric Society, vol. 54(2), pages 363-74, March.
  2. Scott, James K. & Johnson, Thomas G., 1998. "The Community Policy Analysis Network: A National Infrastructure for Community Policy Decision Support," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 28(2).
  3. Chib, Siddhartha & Greenberg, Edward, 1996. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometric Theory, Cambridge University Press, vol. 12(03), pages 409-431, August.
  4. Deller, Steven C. & Shields, Martin, 1998. "Economic Impact Modeling as a Tool for Community Economic Development," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 28(2).
  5. Ray C. Fair & John B. Taylor, 1991. "Full Information Estimation and Stochastic Simulation of Models with Rational Expectations," NBER Technical Working Papers 0078, National Bureau of Economic Research, Inc.
  6. LeSage, James P. & Magura, Michael, 1991. "Using interindustry input-output relations as a Bayesian prior in employment forecasting models," International Journal of Forecasting, Elsevier, vol. 7(2), pages 231-238, August.
  7. Gerking, S.D., 1976. "Input-output as a simple econometric model," Open Access publications from Tilburg University urn:nbn:nl:ui:12-4742764, Tilburg University.
  8. Gerking, Shelby D, 1976. "Input-Output as a Simple Econometric Model," The Review of Economics and Statistics, MIT Press, vol. 58(3), pages 274-82, August.
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Citations

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Cited by:
  1. Marco Percoco & Geoffrey Hewings & Lanfranco Senn, 2006. "Structural change decomposition through a global sensitivity analysis of input-output models," Economic Systems Research, Taylor and Francis Journals, vol. 18(2), pages 115-131.
  2. Sporri, C. & Borsuk, M. & Peters, I. & Reichert, P., 2007. "The economic impacts of river rehabilitation: A regional Input-Output analysis," Ecological Economics, Elsevier, vol. 62(2), pages 341-351, April.
  3. Arbex, Marcelo & Perobelli, Fernando S., 2010. "Solow meets Leontief: Economic growth and energy consumption," Energy Economics, Elsevier, vol. 32(1), pages 43-53, January.
  4. Beynon, Malcolm J. & Munday, Max, 2008. "Considering the effects of imprecision and uncertainty in ecological footprint estimation: An approach in a fuzzy environment," Ecological Economics, Elsevier, vol. 67(3), pages 373-383, October.
  5. Malcolm Beynon & Max Munday, 2008. "Stochastic key sector analysis: an application to a regional input–output framework," The Annals of Regional Science, Springer, vol. 42(4), pages 863-877, December.

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