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Strike When the Force Is with You: Optimal Stopping with Application to Resource Equilibria

2007· article· en· W2102333306 on OpenAlex
Robert D. Cairns, Graham A. Davis

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAmerican Journal of Agricultural Economics · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCapital Investment and Risk Analysis
Canadian institutionsMcGill University
FundersFoundation for Community Association Research
KeywordsNon-renewable resourceEconomic rentResource (disambiguation)EconomicsMicroeconomicsInvestment (military)Value (mathematics)Optimal stoppingNatural resource economicsPresent valuePath (computing)FinanceComputer scienceFinancial economicsRenewable energy

Abstract

fetched live from OpenAlex

Optimal investment in a nonrenewable resource project occurs when the rate of increase of the project's forward value falls to the force of interest. This stopping rule yields a financial interpretation of resource quality as being a property of the project rather than of individual units of reserves. It also leads to re‐interpretations of ( a ) rent as the present value of the project rather than of units of reserves and ( b ) Hotelling's insight as, not a rule for the path of rents, but an equilibrium algorithm for price. The analysis is extended to sequential development of pesticides, antibiotics, and forests.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score0.447

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.008
GPT teacher head0.188
Teacher spread0.180 · 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