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Record W2114324071 · doi:10.7202/1014742ar

Evaluating the Prevalence and Distribution of Quasi-formal Employment in Europe

2013· article· en· W2114324071 on OpenAlexvenueno aff
Colin C. Williams, Jo Padmore

Bibliographic record

VenueRelations industrielles · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsnot available
FundersEuropean Commission
KeywordsSalaryEurobarometerInformal sectorWageEarningsLabour economicsBusinessDemographic economicsEuropean unionEconomicsEconomic growthMarket economyAccountingEconomic policy

Abstract

fetched live from OpenAlex

To show how formal and informal jobs are not always discrete, this paper uncovers how many formal employees in the European Union are paid two wages by their formal employers, an official declared salary and an additional undeclared wage, thus allowing employers to evade their full social insurance and tax liabilities. Analyzing a 2007 Eurobarometer survey involving 26,659 face-to-face interviews in the 27 member states of the European Union (EU-27), one in 18 formal employees are found to engage in such quasi-formal employment, receiving on average one-quarter of their gross salary on an undeclared basis. Multi-level logistic regression analysis reveals that quasi-formal employment is significantly more prevalent in East-Central Europe, in smaller businesses and the construction sector, and amongst men, younger persons and the lower paid. The dichotomous depiction of employment as either formal or informal therefore needs to be transcended and a finer-grained continuum of types of employment depicted from wholly formal to wholly informal with many varieties in-between. The paper then briefly reviews what might be done to tackle this illegitimate wage practice. This clearly displays that this quasi-formal form of employment needs to be more fully integrated into discussions when discussing how to tackle undeclared work, since some measures that tackle wholly undeclared work, such as reducing the minimum wage, might simply allow formal employers to pay a larger portion of their formal employees’ earnings as an additional undeclared wage, rather than facilitate the creation of fully formal employment.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.201

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.093
GPT teacher head0.284
Teacher spread0.191 · 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 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

Citations30
Published2013
Admission routes1
Has abstractyes

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