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Agent-based simulation for computational experimentation: Developing an artificial labor market

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  • Chaturvedi, Alok
  • Mehta, Shailendra
  • Dolk, Daniel
  • Ayer, Rick

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  • Chaturvedi, Alok & Mehta, Shailendra & Dolk, Daniel & Ayer, Rick, 2005. "Agent-based simulation for computational experimentation: Developing an artificial labor market," European Journal of Operational Research, Elsevier, vol. 166(3), pages 694-716, November.
  • Handle: RePEc:eee:ejores:v:166:y:2005:i:3:p:694-716
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    1. Dhananjay K. Gode & Shyam Sunder, 1997. "What Makes Markets Allocationally Efficient?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 603-630.
    2. Dale, Charles & Gilroy, Curtis, 1985. "Enlistments in the All-Volunteer Force: Note," American Economic Review, American Economic Association, vol. 75(3), pages 547-551, June.
    3. Arthur M. Geoffrion, 1987. "An Introduction to Structured Modeling," Management Science, INFORMS, vol. 33(5), pages 547-588, May.
    4. Ash, J Colin K & Udis, Bernard & McNown, Robert F, 1983. "Enlistments in the All-Volunteer Force: A Military Personnel Supply Model and Its Forecasts," American Economic Review, American Economic Association, vol. 73(1), pages 145-155, March.
    5. Cyril E. Kearl & David K. Horne & Curtis L. Gilroy, 1990. "Army Recruiting In A Changing Environment," Contemporary Economic Policy, Western Economic Association International, vol. 8(4), pages 68-78, October.
    6. Warner, John T., 1995. "The economics of military manpower," Handbook of Defense Economics, in: Keith Hartley & Todd Sandler (ed.), Handbook of Defense Economics, edition 1, volume 1, chapter 13, pages 347-398, Elsevier.
    7. Plott, Charles R. & Gray, Peter, 1990. "The multiple unit double auction," Journal of Economic Behavior & Organization, Elsevier, vol. 13(2), pages 245-258, March.
    8. Brown, Charles, 1985. "Military Enlistments: What Can We Learn from Geographic Variation?," American Economic Review, American Economic Association, vol. 75(1), pages 228-234, March.
    9. John H. Miller, 1998. "Active Nonlinear Tests (ANTs) of Complex Simulation Models," Management Science, INFORMS, vol. 44(6), pages 820-830, June.
    10. Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-137, February.
    11. Sandler,Todd & Hartley,Keith, 1995. "The Economics of Defense," Cambridge Books, Cambridge University Press, number 9780521447287.
    12. Amit Basu & Robert W. Blanning, 1998. "The Analysis of Assumptions in Model Bases Using Metagraphs," Management Science, INFORMS, vol. 44(7), pages 982-995, July.
    13. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
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    3. Carayannis, Elias G. & Grigoroudis, Evangelos & Wurth, Bernd, 2022. "OR for entrepreneurial ecosystems: A problem-oriented review and agenda," European Journal of Operational Research, Elsevier, vol. 300(3), pages 791-808.

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