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Record W7100992812

REXAMINING THE HOTELLING VALUATION PRINCIPLE: Empirical Evidence from Canadian Oil and Gas Royalty Trusts

2015· article· en· W7100992812 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistic research and analysis
Canadian institutionsnot available
Fundersnot available
KeywordsValuation (finance)Empirical evidenceMarket valueOil priceValue (mathematics)Fossil fuelArgument (complex analysis)Market price
DOInot available

Abstract

fetched live from OpenAlex

The Hotelling Valuation Principle (HVP) implies that the in situ value of a unit of a non-renewable resource is equal to current price less the cost of extraction. The required assumptions for this principle are strongly violated in the oil and gas industry, but despite this, results from previous research are mixed, with studies based on market data supporting the principle, and those based on basin-aggregate data rejecting the principle. To address problems with the data choice in previous studies, we test the HVP using market data on Canadian oil and gas royalty trusts. Unlike previous studies using market data for conventional oil and gas compa-nies, our results tend to reject the HVP and we generally find market value to be significantly less than that predicted by the principle. The re-duced value is explained by a significantly negative response to a real op-tion to expand (proxied by a call option on oil and gas prices). These findings are consistent with the argument that in the period of rising oil prices that we consider, (2000–06), the net extraction price is high rela-tive to its expected future growth, but production constraints prevent firms from fully exploiting the high price.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0010.000

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 head0.337
GPT teacher head0.366
Teacher spread0.030 · 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 designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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