Small sample bias in MSM estimation of agent-based models
Jakob Grazzini,
Matteo Richiardi and
Lisa Sella ()
Additional contact information
Lisa Sella: Ceris - CNR
Chapter Chapter 19 in Managing Market Complexity, 2012, pp 237-247 from Springer
Abstract:
Abstract Starting from an agent-based interpretation of the well-known Bass innovation diffusion model, we perform a Montecarlo analysis of the performance of a method of simulated moment (MSM) estimator. We show that nonlinearities of the moments lead to a small bias in the estimates in small populations, although our estimates are consistent and converge to the true values as population size increases. Our approach can be generalized to the estimation of more complex agent-based models.
Keywords: Potential Adopter; Computational Economic; Small Sample Property; Bass Model; Small Sample Bias (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (2)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-642-31301-1_19
Ordering information: This item can be ordered from
http://www.springer.com/9783642313011
DOI: 10.1007/978-3-642-31301-1_19
Access Statistics for this chapter
More chapters in Lecture Notes in Economics and Mathematical Systems from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().