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Labor Contract Duration, Indexation, and Wage Adjustment: Interdependence and Inflation Propagation Mechanisms

2010· article· en· W2016659822 on OpenAlexaff
Louis N. Christofides, Amy Peng

Bibliographic record

VenueIndustrial Relations A Journal of Economy and Society · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic theories and models
Canadian institutionsSocial Sciences and Humanities Research Council
Fundersnot available
KeywordsIndexationEconomicsWageInflation (cosmology)Duration (music)Labour economicsEconometricsMacroeconomicsMonetary policy

Abstract

fetched live from OpenAlex

We study simultaneously the three main outcomes of collective bargaining negotiations, namely indexation, non‐indexed wage adjustment, and contract duration. The wage adjustment equation accommodates varying degrees of wage indexation in the current and previous contracts. The elasticity of indexation, a latent variable, deals with both the incidence and intensity of wage indexation and links consistently with the wage equation. Duration, which may change between contracts, is shown to depend on indexed and non‐indexed wage adjustment, obviating the need for expected inflation in the empirical duration equations of earlier work. Complex intra‐ and inter‐contract inflation propagation mechanisms involve expected inflation and inflation uncertainty in an essential way. The model accounts for the secular doubling of contract duration and dramatic decrease in indexation and non‐contingent wage adjustment.

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)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.020
GPT teacher head0.210
Teacher spread0.190 · 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 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

Citations1
Published2010
Admission routes1
Has abstractyes

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