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Record W3141959051 · doi:10.1017/9781009374712

Economic Analysis of Property Rights

2023· book· en· W3141959051 on OpenAlexaff
Yoram Barzel, Douglas W. Allen

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsTransaction costProperty rightsDistribution (mathematics)Property (philosophy)Database transactionValue (mathematics)Law and economicsEconomicsEconomic analysisMicroeconomicsEconomic modelIndustrial organizationPublic economicsEconomic systemBusinessComputer scienceClassical economicsMathematics

Abstract

fetched live from OpenAlex

The standard neoclassical model of economics is incapable of explaining why one form of organization arises over another. It is a model where transaction costs are implicitly assumed to not exist; however, transaction costs are here defined as the costs of strengthening a given distribution of economic property rights, and they always exist. Economic Analysis of Property Rights is a study of how individuals organise resources to maximise the value of their economic rights over these resources. It offers a unified theoretical structure to deal with exchange, rights formation, and organisation that traditional economic theory often ignores. It explains how transaction costs can be reduced through reorganization and, in the end, how the distribution of property rights that exists is the one that maximizes wealth net of these transaction costs. This necessary hypothesis explains much of the puzzling organizations and institutions that exist now and have existed in the past.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.006
Scholarly communication0.0040.007
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0150.002

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 head0.031
GPT teacher head0.187
Teacher spread0.157 · 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 designNot applicable
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

Citations290
Published2023
Admission routes1
Has abstractyes

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