Evidence map›Paper›PMID 34778836›Full record

ReviewSN business & economics2021

Advances in the agent-based modeling of economic and social behavior.

Mitja Steinbacher, Matthias Raddant, Fariba Karimi, Eva Camacho Cuena, Simone Alfarano, Giulia Iori, Thomas Lux

Abstract readReview
In one paragraph

Review in SN business & economics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mitja SteinbacherDepartment of Mathematics and Statistics, Faculty of Law and Business Studies, Krekov trg 1, 1000 Ljubljana, Slovenia.ORCID https://orcid.org/0000-0003-1865-6262
Matthias RaddantDepartment of Economics, Kiel University, Olshausenstraße 40, 24118 Kiel, Germany.ORCID 0000-0001-6157-7733
Fariba KarimiComplexity Science Hub Vienna, Josefstädter Str. 39, 1080 Vienna, Austria.ORCID https://orcid.org/0000-0002-0037-2475
Eva Camacho CuenaDepartment of Economics, Jaume I University, Avenida Sos Baynat s/n, 12071 Castellón, Spain.
Simone AlfaranoDepartment of Economics, Jaume I University, Avenida Sos Baynat s/n, 12071 Castellón, Spain.
Giulia IoriDepartment of Economics, School of Social Science, City University, Northampton Square, London, EC1V 0HB UK.ORCID https://orcid.org/0000-0001-9443-9353
Thomas LuxDepartment of Economics, Kiel University, Olshausenstraße 40, 24118 Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this review we discuss advances in the agent-based modeling of economic and social systems. We show the state of the art of the heuristic design of agents and how behavioral economics and laboratory experiments have improved the modeling of agent behavior. We further discuss how economic networks and social systems can be modeled and we discuss novel methodology and data sources. Lastly, we present an overview of estimation techniques to calibrate and validate agent-based models and show avenues for future research.

Indexed as

Agent-based modelsBehavioral economicsComputational economicsComputational social scienceHeuristic designModel calibrationNetworks

Identifiers

PMID34778836
PMCPMC8262124

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.