Computational Economics

, Volume 50, Issue 4, pp 533–547 | Cite as

An Agent-Based Simulation of the Stolper–Samuelson Effect

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Abstract

We demonstrate that agent-based simulations can exhibit results in line with classic macroeconomic theory. In particular, we present an agent-based simulation of an Arrow–Debreu economy that accurately exhibits the Stolper–Samuelson effect as an emergent property. Absent of a Walrasian auctioneer or any other central coordination, we let firm and consumer agents of different types interact in an open, money-driven market. Exogenous preference shocks result in price and wage shifts that are in accordance with the general equilibrium solution, not only qualitatively but also quantitatively with high accuracy. Key to this achievement are three independent measures. First, we overcome the poor input synchronization of conventional price finding heuristics of firms in agent-based models by introducing sensor prices, a novel approach to price finding that decouples information exploitation from information exploration. Second, we improve accuracy and convergence by employing exponential search as exploration algorithm. Third, we normalize prices indirectly by fixing dividends, thereby stabilizing the system’s dynamics.

Keywords

Computational economics Agent-based economics Price finding Price normalization Sensor prices System dynamics 

References

  1. Arrow, K. J., & Debreu, G. (1954). Existence of an equilibrium for a competitive economy. Econometrica, 22(3), 265–290.CrossRefGoogle Scholar
  2. Axtell, R. (2005). The complexity of exchange. The Economic Journal, 115(504), F193–F210.CrossRefGoogle Scholar
  3. Bentley, J. L., & Yao, A. C. C. (1976). An almost optimal algorithm for unbounded searching. Information Processing Letters, 5(3), 82–87.CrossRefGoogle Scholar
  4. Brock, W. A., & Hommes, C. (1998). Heterogeneous beliefs and routes to chaos in a simple asset pricing model. Journal of Economic Dynamics and Control, 22(8), 1235–1274.CrossRefGoogle Scholar
  5. Bruno, R. (2015). Version control systems to facilitate research collaboration in economics. Computational Economics. doi:10.1007/10614-015-9513-8.
  6. Catalano, M., & Di Guilmi, C. (2015). Dynamic stochastic generalised aggregation in a multisectoral macroeconomic model. In Proceedings of the 21st International Conference on Computing in Economics and Finance (CEF 2015). Google Scholar
  7. Coase, R. H. (1937). The nature of the firm. Economica, 4(16), 386–405.CrossRefGoogle Scholar
  8. Deissenberg, C., Van Der Hoog, S., & Dawid, H. (2008). Eurace: A massively parallel agent-based model of the european economy. Applied Mathematics and Computation, 204(2), 541–552.CrossRefGoogle Scholar
  9. Eidson, E. D., & Ehlen, M. A. (2005). NISAC agent-based laboratory for economics (N-ABLETM): Overview of agent and simulation architectures. Technical Report SAND2005-0263, Sandia National Laboratories.Google Scholar
  10. Elmaghraby, W., & Keskinocak, P. (2003). Dynamic pricing in the presence of inventory considerations: Research overview, current practices, and future directions. Management Science, 49(10), 1287–1309.CrossRefGoogle Scholar
  11. Feldman, A. M. (1973). Bilateral trading processes, pairwise optimality, and pareto optimality. The Review of Economic Studies, 40, 463–473.CrossRefGoogle Scholar
  12. Gatti, D. D., Desiderio, S., Gaffeo, E., Cirillo, P., & Gallegati, M. (2011). Macroeconomics from the bottom-up (Vol. 1). New York: Springer Science & Business Media.CrossRefGoogle Scholar
  13. Gintis, H. (2007). The dynamics of general equilibrium. The Economic Journal, 117(523), 1280–1309.CrossRefGoogle Scholar
  14. Hommes, C. (2013). Behavioral rationality and heterogeneous expectations in complex economic systems. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  15. Jones, R. W. (1968). Variable returns to scale in general equilibrium theory. International Economic Review, 9(3), 261–272.CrossRefGoogle Scholar
  16. Jones, R. W., & Scheinkman, J. A. (1977). The relevance of the two-sector production model in trade theory. The Journal of Political Economy, 85, 909–935.CrossRefGoogle Scholar
  17. Kim, D. H. (1992). Guidelines for drawing causal loop diagrams. The Systems Thinker, 3(1), 5–6.Google Scholar
  18. LeBaron, B. (2001). Empirical regularities from interacting long-and short-memory investors in an agent-based stock market. IEEE Transactions on Evolutionary Computation, 5(5), 442–455.CrossRefGoogle Scholar
  19. Martin, J. P. (1976). Variable factor supplies and the Heckscher–Ohlin–Samuelson model. The Economic Journal, 86(344), 820–831.CrossRefGoogle Scholar
  20. Milgrom, P., & Roberts, J. (1994). Economics, organization and management. Englewood Cliffs: Prentice-Hall.Google Scholar
  21. Negishi, T. (1972). General equilibrium theory and international trade. North-Holland Publishing Company: Amsterdam.Google Scholar
  22. Riccetti, L., Russo, A., & Gallegati, M. (2015). An agent based decentralized matching macroeconomic model. Journal of Economic Interaction and Coordination, 10(2), 305–332.CrossRefGoogle Scholar
  23. Rouchier, J. (2013). The interest of having loyal buyers in a perishable market. Computational Economics, 41(2), 151–170.CrossRefGoogle Scholar
  24. Seppecher, P. (2012). Jamel: A java agent-based macroeconomic laboratory. doi:10.2139/ssrn.2669488.
  25. Stolper, W. F., & Samuelson, P. A. (1941). Protection and real wages. The Review of Economic Studies, 9(1), 58–73.CrossRefGoogle Scholar
  26. Tesfatsion, L. (2006). Agent-based computational economics: A constructive approach to economic theory. Handbook of Computational Economics, 2, 831–880.CrossRefGoogle Scholar
  27. Wolffgang, U. (2015). A multi-agent non-stochastic economic simulator. In Proceedings of the 21st International Conference on Computing in Economics and Finance (CEF 2015). Google Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.University of ZurichZurichSwitzerland
  2. 2.University of StellenboschStellenboschSouth Africa

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