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Record W2765920355 · doi:10.1515/me-2017-0014

The Coase Theorem and Core Theory

2017· article· en· W2765920355 on OpenAlexaffabout
Varouj A. Aivazian, Jeffrey L. Callen

Bibliographic record

VenueMan and the Economy · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic theories and models
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCoase theoremTransaction costExternalityProperty rightsSocial costEconomicsNeoclassical economicsCore (optical fiber)New institutional economicsWork (physics)Institutional economicsLaw and economicsMicroeconomics

Abstract

fetched live from OpenAlex

Abstract The writings of Ronald Coase, along with those of Armen Alchian and Harold Demsetz, on the theory of property rights, transaction cost economics, and the economics of institutions have yielded powerful insights and transformed many areas of economics. The seminal paper of Ronald Coase (Coase 1960, “The Problem of Social Cost,” Journal of Law and Economics , 3(1),1–44) not only clarified the notion of externality but also laid the foundations for a powerful theory of property rights and transaction cost economics. The insights of that paper have helped to shape the field of Law and Economics and also proved important in such fields as Environmental Economics, among others. It is worth mentioning that Coase’s work also led to our late colleague John Dales’ important book (Dales 1968, Pollution, Property, and Prices: An Essay in Policy-Making , University of Toronto Press) that formulated the idea of markets in pollution rights (cap-and-trade). In this note we will briefly review our work spanning many years linking the Coase Theorem to Cooperative Game Theory and Core Theory, emphasizing inter alia the importance of our approach for rationalizing property rights and contractual arrangements.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.664
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.205
Teacher spread0.177 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations0
Published2017
Admission routes2
Has abstractyes

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