MétaCan
Menu
Back to cohort
Record W1787944329 · doi:10.3386/w18441

Can't We All Be More Like Scandinavians? Asymmetric Growth and Institutions in an Interdependent World

2012· report· en· W1787944329 on OpenAlexfundno aff
Daron Acemoğlu, James A. Robinson, Thierry Verdier

Bibliographic record

VenueNational Bureau of Economic Research · 2012
Typereport
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Productivity
Canadian institutionsnot available
FundersCanadian Institute for Advanced Research
KeywordsInterdependenceBusinessPolitical scienceLaw

Abstract

fetched live from OpenAlex

Because of their more limited inequality and more comprehensive social welfare systems, many perceive average welfare to be higher in Scandinavian societies than in the United States.Why then does the United States not adopt Scandinavian-style institutions?More generally, in an interdependent world, would we expect all countries to adopt the same institutions?To provide theoretical answers to this question, we develop a simple model of economic growth in a world in which all countries benefit and potentially contribute to advances in the world technology frontier.A greater gap of incomes between successful and unsuccessful entrepreneurs (thus greater inequality) increases entrepreneurial effort and hence a country's contribution to the world technology frontier.We show that, under plausible assumptions, the world equilibrium is asymmetric: some countries will opt for a type of "cutthroat capitalism" that generates greater inequality and more innovation and will become the technology leaders, while others will free-ride on the cutthroat incentives of the leaders and choose a more "cuddly" form of capitalism.Paradoxically, those with cuddly reward structures, though poorer, may have higher welfare than cutthroat capitalists; but in the world equilibrium, it is not a best response for the cutthroat capitalists to switch to a more cuddly form of capitalism.We also show that domestic constraints from social democratic parties or unions may be beneficial for a country because they prevent cutthroat capitalism domestically, instead inducing other countries to play this role.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0060.009
Scholarly communication0.0090.007
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.462
GPT teacher head0.464
Teacher spread0.002 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations101
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueNational Bureau of Economic ResearchSame topicEconomic Growth and ProductivityFrench-language works237,207