2006
DOI: 10.1140/epjb/e2006-00385-4
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Empirical validation of stochastic models of interacting agents

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Cited by 31 publications
(27 citation statements)
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“…From the proof of Proposition 3(c) it follows that if we put ν = ν , the bifurcation value θ of the lag parameter is given as the-unique-value of θ in the interval (0, π/ν ) that satisfies the first equation in (24). Then, observe that the terms ν , a 0 , b 0 entering there can A.…”
Section: A2 Proof Of Propositionmentioning
confidence: 91%
“…From the proof of Proposition 3(c) it follows that if we put ν = ν , the bifurcation value θ of the lag parameter is given as the-unique-value of θ in the interval (0, π/ν ) that satisfies the first equation in (24). Then, observe that the terms ν , a 0 , b 0 entering there can A.…”
Section: A2 Proof Of Propositionmentioning
confidence: 91%
“…In some cases it is possible to show that in an analogous equilibrium model none of these phenomena would arise [150,154,155]. Furthermore, in some cases it is possible to calibrate these BRHA models against real data and get a good fit for properties such as the distribution of returns and the autocorrelation function of volatility [152,153,[156][157][158]. Thus the more developed models in this class make testable predictions.…”
Section: Bounded Rationality Specialization and Heterogeneous Agentsmentioning
confidence: 99%
“…Janssen and Ostrom (2006) identify three useful environments in order to calibrate the model parameters: a) empirical data (see Recchioni et al (2015) and Alfarano et al (2007)), b) survey and/or interviews (Garcia et al (2007)), c) experiments (Roth and Erev (1995)). Moreover, different validation techniques have been also proposed (see Sargent (2013)).…”
Section: Introductionmentioning
confidence: 99%