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Record W2905335938 · doi:10.23941/ejpe.v11i2.340

On the Very Idea of an Efficient Wage

2018· article· en· W2905335938 on OpenAlexaff
Peter Dietsch

Bibliographic record

VenueErasmus Journal for Philosophy and Economics · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsReservationEconomicsMicroeconomicsEfficiency wageEquity (law)WageLabour economicsConsumption (sociology)Competition (biology)Context (archaeology)Set (abstract data type)Social stratificationNeoclassical economicsSociologyLawPolitical science

Abstract

fetched live from OpenAlex

This paper argues that the standard characterisation of the equity-efficiency trade-off as set out in this symposium by Joe Heath overstates the tension between these two values. The reason lies in the fact that economists tend to take individual labour supply preferences as given, which leads to a superficial analysis of the concepts of reservation wage and of economic rent. The paper suggests that we should instead think of reservation wages as variable and as influenced by social norms. Social norms play a double role in this context. First, they represent a constitutive element of market competition; second, they can be a determinant of income inequalities. From this perspective, a certain share of high reservation wages sustained by contingent inegalitarian social norms should count as economic rent. The last section of the paper strengthens this conclusion further by drawing a parallel between expensive tastes in consumption and a certain class of high reservation wages. To the extent that the latter are underpinned by social norms rather than efficiency considerations, not paying them is both just and efficient.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.509

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 studies0.0010.000
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 head0.046
GPT teacher head0.234
Teacher spread0.189 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2018
Admission routes1
Has abstractyes

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