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Fiscal policy and business cycle characteristics in a heterogeneous agent macro model

  • Neveu, Andre R.

This paper explores the macroeconomic implications of changing fiscal policy in a Heterogeneous Interacting Agent (“HIA”) model. The key contributions to the existing HIA complex adaptive trivial system (“CATS”) literature include the addition of a progressive income tax structure, an expanded role for redistribution, and a stylized reactive government sector. In certain specifications deficit financed tax cuts are shown to effectively shorten recessions, while deficit financed spending stimulus is able to lengthen recoveries. Alternative specifications provide ambiguous support for generalizing the effectiveness of these policy treatments. Robustness checks support the general findings that increased redistribution towards the unemployed results in higher unemployment rates, greater inequality, and shorter contractions.

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Article provided by Elsevier in its journal Journal of Economic Behavior & Organization.

Volume (Year): 92 (2013)
Issue (Month): C ()
Pages: 224-240

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Handle: RePEc:eee:jeborg:v:92:y:2013:i:c:p:224-240
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  1. Kawasaki, Seiichi & McMillan, John & Zimmermann, Klaus F, 1982. "Disequilibrium Dynamics: An Empirical Study," American Economic Review, American Economic Association, vol. 72(5), pages 992-1004, December.
  2. Dosi, Giovanni & Fagiolo, Giorgio & Roventini, Andrea, 2010. "Schumpeter meeting Keynes: A policy-friendly model of endogenous growth and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1748-1767, September.
  3. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics Discussion Papers 2010-4, Kiel Institute for the World Economy.
  4. Attinasi, Maria-Grazia & Checherita-Westphal, Cristina & Rieth, Malte, 2011. "Labour tax progressivity and output volatility: evidence from OECD countries," Working Paper Series 1380, European Central Bank.
  5. E. Gaffeo & M. Catalano & F. Clementi & D. Delli Gatti & M. Gallegati & A. Russo, 2006. "Reflections on Modern Macroeconomics: Can We Travel Along a Safer Road?," Papers physics/0608148,
  6. repec:cbo:report:42905 is not listed on IDEAS
  7. Mauro Gallegati & Gianfranco Giulioni & Nozomi Kichiji, 2003. "Complex Dynamics And Financial Fragility In An Agent-Based Model," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 267-282.
  8. Adrian Pagan & Don Harding, 2005. "A suggested framework for classifying the modes of cycle research," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 151-159.
  9. Di Guilmi, Corrado & Gaffeo, Edoardo & Gallegati, Mauro, 2004. "Empirical results on the size distribution of business cycle phases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 333(C), pages 325-334.
  10. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Society for Computational Economics, vol. 30(3), pages 195-226, October.
  11. Canning, D. & Amaral, L. A. N. & Lee, Y. & Meyer, M. & Stanley, H. E., 1998. "Scaling the volatility of GDP growth rates," Economics Letters, Elsevier, vol. 60(3), pages 335-341, September.
  12. Domenico Delli Gatti & Edoardo Gaffeo & Mauro Gallegati & Antonio Palestrini, 2005. "The Apprentice Wizard: Montetary Policy, Complexity And Learning," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 109-128.
  13. Fazzari, Steven M & Athey, Michael J, 1987. "Asymmetric Information, Financing Constraints, and Investment," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 481-87, August.
  14. Don Harding & Adrian Pagan, 2000. "Disecting the Cycle: A Methodological Investigation," Econometric Society World Congress 2000 Contributed Papers 1164, Econometric Society.
  15. Giovanni Dosi & Giorgio Fagiolo & Andrea Roventini, 2008. "The microfoundations of business cycles: an evolutionary, multi-agent model," Journal of Evolutionary Economics, Springer, vol. 18(3), pages 413-432, August.
  16. John Haltiwanger & C J Krizan & Lucia Foster, 1998. "Aggregate Productivity Growth: Lessons From Microeconomic Evidence," Working Papers 98-12, Center for Economic Studies, U.S. Census Bureau.
  17. Edoardo Gaffeo & Domenico Delli Gatti & Saul Desiderio & Mauro Gallegati, 2008. "Adaptive microfoundations for emergent macroeconomics," Department of Economics Working Papers 0802, Department of Economics, University of Trento, Italia.
  18. Campbell, Carl M, III & Kamlani, Kunal S, 1997. "The Reasons for Wage Rigidity: Evidence from a Survey of Firms," The Quarterly Journal of Economics, MIT Press, vol. 112(3), pages 759-89, August.
  19. Battiston, Stefano & Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2007. "Credit chains and bankruptcy propagation in production networks," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2061-2084, June.
  20. Stiglitz, Joseph E., 1989. "Imperfect information in the product market," Handbook of Industrial Organization, in: R. Schmalensee & R. Willig (ed.), Handbook of Industrial Organization, edition 1, volume 1, chapter 13, pages 769-847 Elsevier.
  21. Giovanni Dosi & Giorgio Fagiolo & Andrea Roventini, 2006. "An Evolutionary Model of Endogenous Business Cycles," Computational Economics, Society for Computational Economics, vol. 27(1), pages 3-34, February.
  22. Bhaskar, V & Machin, Stephen & Reid, Gavin C, 1993. "Price and Quantity Adjustment over the Business Cycle: Evidence from Survey Data," Oxford Economic Papers, Oxford University Press, vol. 45(2), pages 257-68, April.
  23. Gaffeo, Edoardo & Gallegati, Mauro & Giulioni, Gianfranco & Palestrini, Antonio, 2003. "Power laws and macroeconomic fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 408-416.
  24. Baker, George & Gibbs, Michael & Holmstrom, Bengt, 1994. "The Wage Policy of a Firm," The Quarterly Journal of Economics, MIT Press, vol. 109(4), pages 921-55, November.
  25. Russo, Alberto & Catalano, Michele & Gaffeo, Edoardo & Gallegati, Mauro & Napoletano, Mauro, 2007. "Industrial dynamics, fiscal policy and R&D: Evidence from a computational experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 426-447.
  26. Gatti, Domenico Delli & Di Guilmi, Corrado & Gallegati, Mauro & Giulioni, Gianfranco, 2007. "Financial Fragility, Industrial Dynamics, And Business Fluctuations In An Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 62-79, November.
  27. Chris M. Wilson & Catherine Waddams Price, 2010. "Do consumers switch to the best supplier?," Oxford Economic Papers, Oxford University Press, vol. 62(4), pages 647-668, October.
  28. Franke, Reiner & Westerhoff, Frank, 2011. "Structural stochastic volatility in asset pricing dynamics: Estimation and model contest," BERG Working Paper Series 78, Bamberg University, Bamberg Economic Research Group.
  29. G. Fagiolo & A. Roventini., 2009. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 6.
  30. Domenico Gatti & Edoardo Gaffeo & Mauro Gallegati, 2010. "Complex agent-based macroeconomics: a manifesto for a new paradigm," Journal of Economic Interaction and Coordination, Springer, vol. 5(2), pages 111-135, December.
  31. Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Russo, Alberto & Stiglitz, Joseph E., 2010. "The financial accelerator in an evolving credit network," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1627-1650, September.
  32. Battiston, Stefano & Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2012. "Liaisons dangereuses: Increasing connectivity, risk sharing, and systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1121-1141.
  33. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
  34. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1, December.
  35. Franke, Reiner, 2009. "Applying the method of simulated moments to estimate a small agent-based asset pricing model," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 804-815, December.
  36. Robert Marks, 2007. "Validating Simulation Models: A General Framework and Four Applied Examples," Computational Economics, Society for Computational Economics, vol. 30(3), pages 265-290, October.
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