Input-Output Systems in Regional and Interregional CGE Modeling

  • Eduardo A. Haddad
  • Geoffrey J. D. Hewings
  • Matthew Peter
Part of the Advances in Spatial Science book series (ADVSPATIAL)


As models used in economic analysis become more and more complex, issues of reliability, tractability and analytical importance take on a greater role in the allocation of resources for model construction and updating. In this chapter, attention is directed to the role of input-output tables in broader, economy-wide models; while a number of papers have addressed this issue, the approaches have varied, in large part due to different motivations in the use or applications of the economy-wide models. Essentially, there are two types of issues that need to be addressed. The first is related to the source of the input-output data; how important is the quality of the input-output data that are to be incorporated into the economy-wide model? The second issue refers to the way the input-output structure is specified in the model, i.e., the functional form for the production system.


Computable General Equilibrium Model Interregional Trade Trade Elasticity Leontief Inverse International Regional Science Review 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Batten, D. 1982. “The International Linkages Between National And Regional Input-Output Models.” International Regional Science Review, 7, 53–68.CrossRefGoogle Scholar
  2. Conway, R.S. 1990. “The Washington Projection and Simulation Model: ten years of experience with a regional interindustry econometric model.” International Regional Science Review, 13, 141–165.CrossRefGoogle Scholar
  3. Coomes, P., D. Olson, and D. Glennon. 1991. “The interindustry employment demand variable: an extension of the I-SAMIS technique for linking input-output and econometric models.” Environment and Planning A, 23, 1063–1068.CrossRefGoogle Scholar
  4. Despotakis, K. A. and A.C. Fisher. 1988. “Energy In A Regional Economy: A Computable General Equilibrium Model For California.” Journal of Environmental Economics and Management, 15, 313–330.CrossRefGoogle Scholar
  5. Dixon, P. B., B.R. Parmenter, J. Sutton, and D.P. Vincent. 1982. ORANI: A Multisectoral Model Of The Australian Economy. Amsterdam, North-Holland.Google Scholar
  6. Drake, R.L. 1976. “A short-cut to estimates of regional input-output multipliers: methodology and evaluation.” International Regional Science Review 1, 1–17.CrossRefGoogle Scholar
  7. Gazel, R. C. 1994. Regional and Interregional Economic Effects of the Free Trade Agreement Between the US and Canada. Unpublished doctoral dissertation. University of Illinois at Urbana-Champaign.Google Scholar
  8. Gazel, R.C., G.J.D. Hewings and M. Sonis. 1996 “Trade, sensitivity and feedbacks: interregional impacts of the US-Canada Free Trade Agreement.” In J.C.J.M. van den Bergh, P. Nijkamp and P. Rietveld, eds. Recent Advances in Spatial Equilibrium Modeling. Heidelberg, Springer-Verlag.Google Scholar
  9. Guccione, A., W.J. Gillen, P.D. Blair, and R.E. Miller. 1988. “Interregional feedbacks in input-output models: the least upper bound.” Journal of Regional Science 28, 397–404.CrossRefGoogle Scholar
  10. Haddad, E.A. 1999. Regional Inequality and Structural Changes: lessons from the Brazilian Experience. Brookfield, VT, Ashgate.Google Scholar
  11. Haddad, E. A. and G.J.D. Hewings. 1997. “The Theoretical Specification of B-MARIA.” Discussion Paper 97-T-5. Regional Economics Applications Laboratory, University of Illinois at Urbana-Champaign.Google Scholar
  12. Harrigan, F., P. McGregor, N. Dourmashkin, K. Swales and Y.P. Yin. 1991. “The sensitivity of output multipliers to alternative technology and factor market assumptions: a computable general equilibrium analysis.” In J.H.L.I. Dewhurst, G.J.D. Hewings, R.C. Jensen, eds. Regional Input-Output Modeling: New Developments and Interpretations. Aldershot, Avebury. pp. 210–228.Google Scholar
  13. Harrigan, F.J. 1982. “The estimation of input-output type output multipliers when no input-output model exists: a comment.” Journal of Regional Science 22, 375–381.CrossRefGoogle Scholar
  14. Hewings, G.J.D. 1977. “Evaluating the possibilities for exchanging regional input-output coefficients.” Environment and Planning A, 9, 927–944.CrossRefGoogle Scholar
  15. Hewings, G.J.D. 1984. “The role of prior information in updating regional input-output models.” Socio-Economic Planning Sciences, 18, 319–336.CrossRefGoogle Scholar
  16. Hewings, G.J.D., and R.C. Jensen. 1986. “Regional, interregional and multiregional input-output analysis.” In P. Nijkamp and E.S. Mills, eds. Handbook of Regional and Urban Economics. Amsterdam, North-Holland. pp. 295–355.Google Scholar
  17. Hudson, E.A., and D.W. Jorgenson. 1974. “US energy policy and economic growth: 1975–2000.” Bell Journal of Economics, 5, 461–514.CrossRefGoogle Scholar
  18. Hulu, E. and G.J.D. Hewings. 1993. “The development and use of interregional input-output models for Indonesia under conditions of limited information.” Review of Urban and Regional Development Studies, 5, 135–153CrossRefGoogle Scholar
  19. Israilevich, P.R. 1991. “The construction of input-output coefficients with flexible functional forms.” In J.H.L.I. Dewhurst, G.J.D. Hewings, R.C. Jensen, eds. Regional Input-Output Modeling: New Developments and Interpretations. Aldershot, Avebury. pp. 98–117.Google Scholar
  20. Israilevich, P.R. (1998) “Frame Shifting in Regional General Equilibrium Models,” Discussion Paper 98-T-6, Regional Economics Applications Laboratory, University of Illinois, Urbana. [Chapter 21 in this volume is a modified version of this paper].Google Scholar
  21. Israilevich P.R., and R. Mahidhara. 1991. “Hog butchers no longer: 20 years of employment change in metropolitan Chicago.” Economic Perspectives (Federal Reserve Bank of Chicago) 15, 2–13.Google Scholar
  22. Israilevich, P.R., G.J.D. Hewings, G.R. Schindler and R. Mahidhara. 1996. “The choice of input-output table embedded in regional econometric input-output models.” Papers in Regional Science, 75, 103–119.CrossRefGoogle Scholar
  23. Israilevich, P.R., G.J.D. Hewings, M. Sonis, and G.R. Schindler. 1997. “Forecasting Structural Change with a Regional Econometric Input-Output Model.” Journal of Regional Science, 37, 565–90CrossRefGoogle Scholar
  24. Jensen, R.C. 1980. “The concept of accuracy in input-output.” International Regional Science Review, 5, 139–154.CrossRefGoogle Scholar
  25. Katz J.L., and R.L. Burford. 1985. “Shortcut formulas for output, income and employment multipliers.” The Annals of Regional Science, 19, 61–76.CrossRefGoogle Scholar
  26. Ko, S. 1985. A Regional Computable General Equilibrium Model For Korea. Unpublished doctoral dissertation. University of Illinois at Urbana-Champaign.Google Scholar
  27. Koh, Y., D.F. Schreiner and H. Shin, H. 1993. “Comparisons Of Regional Fixed Price And General Equilibrium Models.” Regional Science Perspectives, 23, 33–80.Google Scholar
  28. Kraybill, D.S. 1991. “Multiregional computable general equilibrium models: an introduction and survey.” Unpublished paper, Department of Agricultural and Applied Economics, University of Georgia.Google Scholar
  29. Leontief, W. and A. Strout. 1963. “Multiregional Input-Output Analysis.” In T. Barna, ed. Structural Interdependence and Economic Development. London, MacMillan.Google Scholar
  30. McGregor, P.G., J.K. Swales, and Y.P. Yin. 1995. “Input-output analysis, labour scarcity and relative price endogeneity: aggregate demand disturbances in a flex-price Leontief system.” Economic Systems Research, 7, 189–208.CrossRefGoogle Scholar
  31. McGregor, P.G., J.K. Swales, and Y.P. Yin. 1999. “Spillover and Feedback Effects in General Equilibrium Interregional Models of the National Economy: A Requiem for Interregional Input-Output?” In G.J.D. Hewings, M. Sonis, M. Madden and Y. Kimura eds. Understanding and Interpreting Economic Structure Heidelberg, Springer-Verlag.Google Scholar
  32. Miller, R.E. 1986. Upper bounds on the sizes of interregional feedbacks in multiregional input-output models. Journal of Regional Science 26, 285–306.CrossRefGoogle Scholar
  33. Naqvi, F. and M.W. Peter. 1996. “A Multiregional, Multisectoral Model of The Australian Economy With An Illustrative Application.” Australian Economic Papers, 35, 94–113.CrossRefGoogle Scholar
  34. Peter, M.W. 1997. “Notes on comparative Static closures for MONASH-MRF.” Unpublished paper, Monash University, Victoria, Australia.Google Scholar
  35. Peter, M.W., S.H. Han, G.A. Meagher, and F. Naqvi. 1996a. “The Database Of MONASH-MRF”. Mimeo, IMPACT Project, Monash University, Victoria, Australia.Google Scholar
  36. Phibbs P.J., and A.J. Holsman. 1981. “An evaluation of the Burford and Katz short cut technique for deriving input-output multipliers.” The Annals of Regional Science, 15, 11–19.CrossRefGoogle Scholar
  37. Romanoff, E., and S.H. Levine. 1986. “Capacity limitations, inventory and time-phased production in the sequential interindustry model.” Papers of the Regional Science Association, 59, 73–91.CrossRefGoogle Scholar
  38. Round, J.I. 1978. “An interregional input-output approach to the evaluation of nonsurvey methods.” Journal of Regional Science, 18, 179–194.CrossRefGoogle Scholar
  39. Round, J.I. 1983. “Nonsurvey techniques: a critical review of the theory and the evidence.” International Regional Science Review, 8, 189–212.CrossRefGoogle Scholar
  40. Shoven, J. B. and J. Whalley. 1984. “Applied General-Equilibrium Models Of Taxation And International Trade: An Introduction And Survey” Journal of Economic Literature, 22, 1007–1051.Google Scholar
  41. Sonis, M., and G.J.D. Hewings. 1989. “Error and sensitivity input-output analysis: a new approach.” In R.E. Miller, K.R. Polenske, A.Z. Rose, eds. Frontiers of Input-Output Analysis. New York, Oxford University Press. pp. 232–244.Google Scholar
  42. Sonis, M., and G.J.D. Hewings. 1992. “Coefficient change in input-output models: theory and applications.” Economic Systems Research, 4, 110–121.CrossRefGoogle Scholar
  43. Stevens, B.H., and G.A. Trainer. 1976. “The generation of errors in regional input-output impact models.” Working Paper. Regional Science Research Institute, Peace Dale, Rhode Island.Google Scholar
  44. Takayama, A. 1985. Mathematical Economics. Cambridge, University Press.Google Scholar
  45. Treyz, G.I. 1993. Regional Economic Modeling. Boston, Kluwer.Google Scholar
  46. Treyz, G.I., and B.H. Stevens. 1985. “The TFS Modeling Methodology.” Regional Studies, 19, 547–562.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Eduardo A. Haddad
    • 1
    • 2
  • Geoffrey J. D. Hewings
    • 2
  • Matthew Peter
    • 3
  1. 1.FIPEUniversidade de São PauloBrazil
  2. 2.Regional Economics Applications LaboratoryUniversity of IllinoisUSA
  3. 3.Centre of Policy Studies and Impact ProjectMonash UniversityAustralia

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