ArticlePloS one2016
Shared Cultural History as a Predictor of Political and Economic Changes among Nation States.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- A feature-based network analysis and fMRI meta-analysis reveal three distinct types of prosocial decisions.Social cognitive and affective neuroscience · 2021Pooled it
- Cross-national analyses require additional controls to account for the non-independence of nations.Nature communications · 2023Article
- Shared cultural ancestry predicts the global diffusion of democracy.Evolutionary human sciences · 2022Article
- Assessing different historical pathways in the cultural evolution of economic development.Evolution and human behavior : official journal of the Human Behavior and Evolution Society · 2022Article
- CLARITY: comparing heterogeneous data using dissimilarity.Royal Society open science · 2021Article
- The uses and abuses of tree thinking in cultural evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Review
- The dual evolutionary foundations of political ideology.Nature human behaviour · 2020Review
- Cultural prerequisites of socioeconomic development.Royal Society open science · 2020Article
- Parasites and politics: why cross-cultural studies must control for relatedness, proximity and covariation.Royal Society open science · 2018Article
- Religious change preceded economic change in the 20th century.Science advances · 2018Article
- Deep cultural ancestry and human development indicators across nation states.Royal Society open science · 2018Article
- Cultural macroevolution matters.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Political and economic risks arise from social phenomena that spread within and across countries. Regime changes, protest movements, and stock market and default shocks can have ramifications across the globe. Quantitative models have made great strides at predicting these events in recent decades but incorporate few explicitly measured cultural variables. However, in recent years cultural evolutionary theory has emerged as a major paradigm to understand the inheritance and diffusion of human cultural variation. Here, we combine these two strands of research by proposing that measures of socio-linguistic affiliation derived from language phylogenies track variation in cultural norms that influence how political and economic changes diffuse across the globe. First, we show that changes over time in a country's democratic or autocratic character correlate with simultaneous changes among their socio-linguistic affiliations more than with changes of spatially proximate countries. Second, we find that models of changes in sovereign default status favor including socio-linguistic affiliations in addition to spatial data. These findings suggest that better measurement of cultural networks could be profoundly useful to policy makers who wish to diversify commercial, social, and other forms of investment across political and economic risks on an international scale.
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Registered trials
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.