Evidence map›Paper›PMID 34215696›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Emergent inequality and business cycles in a simple behavioral macroeconomic model.

Yuki M Asano, Jakob J Kolb, Jobst Heitzig, J Doyne Farmer

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. A manifesto for applying behavioural science.Nature human behaviour · 2023
    Review
  3. Foundations of complexity economics.Nature reviews. Physics · 2021
    Review
  4. Article
  5. Confidence collapse in a multihousehold, self-reflexive DSGE model.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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

4 authors.

Yuki M AsanoDepartment of Engineering Science, University of Oxford, Oxford OX1 3PJ, United Kingdom; yuki@robots.ox.ac.uk.ORCID 0000-0002-8533-4020
Jakob J KolbFutureLab on Game Theory and Networks of Interacting Agents, Potsdam Institute for Climate Impact Research, D-14412 Potsdam, Germany.
Jobst HeitzigFutureLab on Game Theory and Networks of Interacting Agents, Potsdam Institute for Climate Impact Research, D-14412 Potsdam, Germany.ORCID 0000-0002-0442-8077
J Doyne FarmerInstitute for New Economic Thinking at the Oxford Martin School, University of Oxford, Oxford OX1 3UQ, United Kingdom.ORCID 0000-0001-7871-073X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Standard macroeconomic models assume that households are rational in the sense that they are perfect utility maximizers and explain economic dynamics in terms of shocks that drive the economy away from the steady state. Here we build on a standard macroeconomic model in which a single rational representative household makes a savings decision of how much to consume or invest. In our model, households are myopic boundedly rational heterogeneous agents embedded in a social network. From time to time each household updates its savings rate by copying the savings rate of its neighbor with the highest consumption. If the updating time is short, the economy is stuck in a poverty trap, but for longer updating times economic output approaches its optimal value, and we observe a critical transition to an economy with irregular endogenous oscillations in economic output, resembling a business cycle. In this regime households divide into two groups: poor households with low savings rates and rich households with high savings rates. Thus, inequality and economic dynamics both occur spontaneously as a consequence of imperfect household decision-making. Adding a few "rational" agents with a fixed savings rate equal to the long-term optimum allows us to match business cycle timescales. Our work here supports an alternative program of research that substitutes utility maximization for behaviorally grounded decision-making.

Indexed as

computational simulationendogenous business cyclessocial learning

Identifiers

PMID34215696
PMCPMC8271739

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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.