Validating and Calibrating Agent-based Models: a Case Study
In this paper we deal with the validation of an agent-based model and, in particular, with the technical validation process, that is to say all the set of test and methods used to analyze if the results of a simulation agree with reality. Today, thanks to some important studies, validation techniques are more and more complete and reliable: many distributional and goodness-of-fit tests have been developed, while several graphical tools have been studied to give the researcher a quick comprehension of actual and simulated data. In particular, the aim of this paper is to propose a good way to calibrate and validate a simple agent-based model of industrial dynamics we have developed. To achieve our goal we consider actual micro-level data of a sample of Italian manufacturing firms included in the Centrale dei Bilanci's database for the period 1983-2001, with no missing data and reliable values. The sample has been selected on the basis of appropriate requisites we discuss further in this paper. The validation results (both graphical and analytical) are quite promising. As calibration process, we use the method of indirect inference due to Gourieroux and Monfort(1996) to guarantee more accurate parameters, minimizing the differences between simulated and actual data. Even in this case the results we get are promising
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|Date of creation:||04 Jul 2006|
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- Delli Gatti, Domenico & Gallegati, Mauro & Giulioni, Gianfranco & Palestrini, Antonio, 2003.
"Financial fragility, patterns of firms' entry and exit and aggregate dynamics,"
Journal of Economic Behavior & Organization,
Elsevier, vol. 51(1), pages 79-97, May.
- Domenico Delli Gatti, Mauro Gallegati, Gianfranco Giulioni, Antonio Palestrini, -DISCUSSANT: Thomas Brenner, 2000. "Financial Fragility, Patterns Of Firms' Entry And Exit And Aggregate Dynamics," Computing in Economics and Finance 2000 282, Society for Computational Economics.
- GALLEGATI Mauro & GIULIONI Gianfranco & KICHIJI Nozomi, .
"Complex Dynamics and Financial Fragility in an Agent Based Model,"
- 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.
- Mauro Gallegati & Gianfranco Giulioni, 2003. "Complex Dynamics and Financial Fragility in an Agent Based Model," Computing in Economics and Finance 2003 86, Society for Computational Economics.
- Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers 10368, Iowa State University, Department of Economics.
- Peter Winker & Manfred Gilli, 2002.
"Indirect Estimation of the Parameters of Agent Based Models of Financial Markets,"
Computing in Economics and Finance 2002
314, Society for Computational Economics.
- Peter Winker and Manfred Gilli, 2001. "Indirect Estimation of the Parameters of Agent Based Models of Financial Markets," Computing in Economics and Finance 2001 59, Society for Computational Economics.
- Manfred GILLI, & Peter WINKER, 2001. "Indirect Estimation of the Parameters of Agent Based Models of Financial Markets," FAME Research Paper Series rp38, International Center for Financial Asset Management and Engineering.
- Winmker, P. & Gilli, M., 2001. "Indirect Estimation of the Parameters of Agent Based Models of Financial Markets," Papers 38, Manitoba - Department of Economics.
- Bruce C. Greenwald & Joseph E. Stiglitz, 1990.
"Macroeconomic Models with Equity and Credit Rationing,"
NBER Working Papers
3533, National Bureau of Economic Research, Inc.
- Bruce C. Greenwald & Joseph E. Stiglitz & Andrew Weiss, 1989. "Macroeconomic models with equity and credit rationing," Proceedings, Federal Reserve Bank of San Francisco.
- Bruce C. Greenwald & Joseph E. Stiglitz, 1990. "Macroeconomic Models with Equity and Credit Rationing," NBER Chapters, in: Asymmetric Information, Corporate Finance, and Investment, pages 15-42 National Bureau of Economic Research, Inc.
- Klevmarken, N.A., 1998.
"Statistical Inference in Micro Simulation Models: Incorporationg External Information,"
1998:20, Uppsala - Working Paper Series.
- Anders Klevmarken, N., 2002. "Statistical inference in micro-simulation models: incorporating external information," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 255-265.
- Klevmarken, N. Anders, 1998. "Statistical Inference in Micro Simulation Models: Incorporating external information," Working Paper Series 1998:20, Uppsala University, Department of Economics.
- Greenwald, Bruce C & Stiglitz, Joseph E, 1993.
"Financial Market Imperfections and Business Cycles,"
The Quarterly Journal of Economics,
MIT Press, vol. 108(1), pages 77-114, February.
- Bruce C. Greenwald & Joseph E. Stiglitz, 1988. "Financial Market Imperfections and Business Cycles," NBER Working Papers 2494, National Bureau of Economic Research, Inc.
- Gilli, M. & Winker, P., 2003. "A global optimization heuristic for estimating agent based models," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 299-312, March.
- Frank Hahn, 1985. "Money and Inflation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262580624, June.
- Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 8.
- Giulio Bottazzi & Angelo Secchi, 2006.
"Explaining the distribution of firm growth rates,"
RAND Journal of Economics,
RAND Corporation, vol. 37(2), pages 235-256, 06.
- Fujiwara, Yoshi, 2004. "Zipf law in firms bankruptcy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 337(1), pages 219-230.
- Bianchi, Carlo & Cirillo, Pasquale & Gallegati, Mauro & Vagliasindi, Pietro A., 2008. "Validation in agent-based models: An investigation on the CATS model," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 947-964, September.
- repec:ebl:ecbull:v:15:y:2003:i:6:p:1-7 is not listed on IDEAS
- Ramsden, J.J. & Kiss-Haypál, Gy., 2000. "Company size distribution in different countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 277(1), pages 220-227.
- Corrado Di Guilmi & Mauro Gallegati & Edoardo Gaffeo, 2003. "Power Law Scaling in the World Income Distribution," Economics Bulletin, AccessEcon, vol. 15(6), pages 1-7.
- R. Quandt, 1966. "Old and new methods of estimation and the pareto distribution," Metrika, Springer, vol. 10(1), pages 55-82, December.
- 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.
- Robert Axtell & Robert Axelrod & Joshua M. Epstein & Michael D. Cohen, 1995. "Aligning Simulation Models: A Case Study and Results," Working Papers 95-07-065, Santa Fe Institute.
- Robert Axelrod, 1997. "Advancing the Art of Simulation in the Social Sciences," Working Papers 97-05-048, Santa Fe Institute.
- Domenico Delli Gatti & Corrado Di Guilmi & Edoardo Gaffeo & Gianfranco Giulioni & Mauro Gallegati & Antonio Palestrini, 2004. "Business Cycle Fluctuations And Firms' Size Distribution Dynamics," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 223-240.
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