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Record W3124596045

New Entrant and Closure Provisions-How do they distort?

2006· preprint· en· W3124596045 on OpenAlexaboutno aff
A. Denny Ellerman

Bibliographic record

VenueRePEc: Research Papers in Economics · 2006
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsEndowmentEuropean unionIronyEmissions tradingInternational tradeClosure (psychology)EconomicsPolitical scienceEconomic historyInternational economicsEconomyLawClimate change
DOInot available

Abstract

fetched live from OpenAlex

As a person whose life began in England and ended in North America and who maintained academic affiliations in the United Kingdom, Canada and the U.S., Campbell Watkins had a fine appreciation for the subtle differences that mark the two sides of the North Atlantic. He embodied the cross-fertilization that trans-Atlantic exchanges imply and I have no doubt that that was one of the reasons the IAEE received so much of his attention and benefited so grandly from it. This essay concerns one of those trans-Atlantic exchanges and one of which Campbell would have enjoyed the irony: An American innovation that goes to Europe and becomes bigger than anything yet seen in North America. The transplant is the cap-and-trade form of emissions trading and the European application is the European Union CO2 Emissions Trading Scheme (EU ETS). More specifically, this paper focuses on a particular feature of the allocation process in the European variant, the endowment of new entrants with allowances and the forfeiture of allowances when facilities are closed.

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)0.027
metaresearch head score (Gemma)0.188
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.027
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.188
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0030.014
Scholarly communication0.0150.020
Open science0.0030.009
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0230.002

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 head0.072
GPT teacher head0.297
Teacher spread0.225 · 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 designObservational
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
Published2006
Admission routes1
Has abstractyes

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