The New Palgrave Dictionary of Economics

2018 Edition
| Editors: Macmillan Publishers Ltd

Simulation of Microanalytic Systems

  • Guy H. Orcutt
Reference work entry


To simulate is both to develop a process model which can be operated and to actually run the model. A running model is a simulation and a model run provides a specific solution of the model.

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  1. Bennett, R., and B. Bergmann. 1986. A microsimulated transactions model of the United States economy. Baltimore/London: Johns Hopkins University Press.Google Scholar
  2. Bergmann, B., G. Eliasson, and G. Orcutt (eds.). 1980. Micro simulation models, methods and applications. Stockholm: The Industrial Institute for Economic and Social Research; distributed by Almqvist and Wiksell International.Google Scholar
  3. Haveman, R., and K. Hollenbeck (eds.). 1980. Microeconomic simulation models for public policy analysis, vols 1 and 2. New York: Academic.Google Scholar
  4. Leontief, W. 1941. The structure of American economy, 1919–1929. Cambridge, MA: Harvard University Press.Google Scholar
  5. Leontief, W. 1953. Static and dynamic theory. In Studies in the structure of the American Economy, ed. W. Leontief. New York: Oxford University Press.Google Scholar
  6. Orcutt, G. 1957. A new type of socio-economic system. Review of Economics and Statistics 39: 116–123.CrossRefGoogle Scholar
  7. Orcutt, G. 1967. Microeconomic analyses for production of national accounts. In Forecasting on a scientific basis, ed. H. Wold et al. Lisbon: Centro de Economia Finansas.Google Scholar
  8. Orcutt, G. 1968. Research strategy in modeling economic systems. In The future of statistics, ed. D.G. Watts. New York: Academic.Google Scholar
  9. Orcutt, G. 1986. Joint conditional probability functions for modeling national economies. In Specification analysis in the linear model, ed. D. Giles and M. King. London: Routledge & Kegan Paul.Google Scholar
  10. Orcutt, G., and J.B. Edwards. 1969. Should aggregation prior to estimation be the rule. Review of Economics and Statistics 51(4): 409–420.CrossRefGoogle Scholar
  11. Orcutt, G., M. Greenberger, J. Korbel, and A. Rivlin. 1961. Microanalysis of socio-economic systems: A simulation study. New York: Harper & Row.Google Scholar
  12. Orcutt, G., H. Watts, and J. Edwards. 1968. Data aggregation and information loss. American Economic Review 58: 773–787.Google Scholar
  13. Orcutt, G., S. Caldwell, R. Wertheimer II, S. Franklin, G. Hendricks, G. Peabody, J. Smith, and S. Zedlewski. 1976. Policy exploration through microanalytic simulation. Washington, DC: Urban Institute.Google Scholar
  14. Orcutt, G., J. Merz, and H. Quinke (eds.). 1986. Microanalytic simulation models to support social and financial policy. Amsterdam: North-Holland.Google Scholar
  15. Stone, R. 1966. Mathematics in the social sciences and other essays. London: Chapman & Hall.Google Scholar
  16. Tinbergen, J. 1937. An econometric approach to business cycle problems. Paris: Hermann et cie.Google Scholar
  17. Tinbergen, J. 1939. Statistical testing of business cycle theories. Vol. II: Business cycles in the United States of America, 1912–1932. Geneva: League of Nations.Google Scholar
  18. US Department of Health, Education and Welfare. 1973. User’s manual for POPSIM. Rockfille: National Center for Health Statistics, DHEW Publication No. (HSM) 73–1216.Google Scholar

Copyright information

© Macmillan Publishers Ltd. 2018

Authors and Affiliations

  • Guy H. Orcutt
    • 1
  1. 1.