Restrictions in Integrated Econometric+Input-Output Modeling

  • James P. LeSage
  • Sergio J. Rey
Part of the Advances in Spatial Science book series (ADVSPATIAL)


Working with regional time-series on employment at the industry level often results in short time-series containing quarterly observations. Attempts to introduce interindustry and interregional variation into an econometric model produce serious degrees of freedom problems. The problem takes the form of a model containing a large number of parameters relating interregional and interindustry entities in the model relative to the amount of sample data available to estimate these parameters. For this reason researchers have attempted to use restrictions on parameters in these models.


Forecast Accuracy Forecast Horizon Related Industry Bayesian Model Average Forecast Experiment 
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  1. Coomes, P., D. Olson, and D. Glennon. 1991a. “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
  2. Coomes, P., D. Olson, and J. Merchant. 1991b. “Using a metropolitan-area econometric model to analyze economic development proposals.” Urban Studies, 28, 369–382.CrossRefGoogle Scholar
  3. Fawson, C. and K.R. Criddle. 1994. “A comparative analysis of time series approaches to modeling intersectoral and intercounty employment linkages in rural regional labor markets.” Journal of Regional Science, 34. 57–74.CrossRefGoogle Scholar
  4. Glennon, D. and J. Lane. 1990. “input-output restrictions, regional structural models and econometric forecasts.” In L. Anselin and M. Madden, eds. New Directions in Regional Analysis: Integrated and Multiregional Approaches. London, Belhaven. pp. 115–132.Google Scholar
  5. Glennon, D., J. Lane, and S. Johnson. 1987. “Regional econometric models that reflect labor market relations.” International Journal of Forecasting, 3, 299–312.CrossRefGoogle Scholar
  6. Glennon, D., 1986. “Incorporating labour market structure in regional econometric models.” Applied Economics, 18, 545–555.CrossRefGoogle Scholar
  7. 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
  8. Lawson, A.M., 1997. “Benchmark Input-Output Accounts for the U.S. Economy, 1992”, Survey of Current Business, November, 36–82.Google Scholar
  9. Leamner, E.E. 1983. “Model Choice and Specification Analysis.” In Z. Griliches and M.D. Intriligator, eds. Handbook of Econometrics, Volume 1. Amsterdam, North-Holland.Google Scholar
  10. LeSage, J.P. and M. Magura. 1991. “Using interindustry input-output relations as a Bayesian prior in employment forecast models.” International Journal of Forecasting, 7, 231–238.CrossRefGoogle Scholar
  11. Magura, M. 1987. “The use of input-output tables in specifying interindustry and interregional labor market linkages.” Papers of the Regional Science Association, 63, 117–123.Google Scholar
  12. Moghadam, K. and K. Ballard. 1988. “Small area modeling of the industry section (SAMIS): An integrated econometric-interindustry approach.” Environment and Planning A, 20, 665–669.CrossRefGoogle Scholar
  13. Partridge, M.D. and D.S. Rickman. 1999. “Generalizing the Bayesian vector autoregression for regional interindustry employment forecasting.” Journal of Business and Economic Statistics, 16, 62–72.Google Scholar
  14. Raftery, A.E., D. Madigan and J.A. Hoeting. 1997. “Bayesian model averaging for linear regression models.” Journal of the American Statistical Association, 92, 179–191.CrossRefGoogle Scholar
  15. Rey, S.J. 1997. “Integrating regional econometric and input-output models: an evaluation of embedding strategies.” Environment and Planning A, 29, 1057–1072.CrossRefGoogle Scholar
  16. Rey, S.J. 2000. “Integrated regional econometric + input-output modeling: issues and opportunities.” Papers in Regional Science, 79, 271–292.CrossRefGoogle Scholar
  17. Rey, S.J. and B. Dev. 1997. “Integrating econometric and input-output models in a multiregional context.” Growth and Change, 22, 222–243.CrossRefGoogle Scholar
  18. Rey, S.J. and R.W. Jackson. 1999. “Interindustry employment demand and labor productivity in econometric+input-output models.” Environment and Planning A, 31, 1583–1599.CrossRefGoogle Scholar
  19. Stover, M.E. 1994. “A comparison of annual and benchmark input-output tables in regional economic modeling.” Annals of Regional Science, 28. 223–228.CrossRefGoogle Scholar
  20. Theil, H. and A.S. Goldberger. 1961. “On Pure and Mixed Statistical Estimation in Economics.” International Economic Review, 2, 65–78.CrossRefGoogle Scholar
  21. White, E.N. and G.J.D. Hewings. 1982. “Space-time employment modeling: Some results using seemingly unrelated regression estimators.” Journal of Regional Science, 22, 283–302.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • James P. LeSage
    • 1
  • Sergio J. Rey
    • 2
  1. 1.Department of EconomicsUniversity of ToledoToledoUSA
  2. 2.Department of GeographySan Diego State UniversitySan DiegoUSA

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