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Record W2958362735 · doi:10.1111/caje.12479

Not just a work permit: EU citizenship and the consumption behaviour of documented and undocumented immigrants

2020· article· en· W2958362735 on OpenAlexvenueno aff
Effrosyni Adamopoulou, Ezgi Kaya

Bibliographic record

VenueCanadian Journal of Economics/Revue canadienne d économique · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationLegalizationCitizenshipResizingConsumption (sociology)Demographic economicsWork (physics)EconomicsEuropean unionLabour economicsMember statesDevelopment economicsPolitical scienceSociologyInternational economicsLaw

Abstract

fetched live from OpenAlex

Abstract This paper explores the impact of the 2007 European Union enlargement on the consumption behaviour of immigrant households. Using data from a unique Italian survey and a difference‐in‐differences approach, we find that the enlargement induced a significant consumption increase for the immigrant households from new member states both in the short and in the medium run. This enlargement effect cannot be attributed to the mere legalization as it concerns both undocumented and documented immigrants, albeit through different channels. Detailed information on immigrants’ legal status (undocumented/documented) and sector of employment (informal/formal) allows us to shed light on the exact mechanisms. Following the enlargement, previously undocumented immigrants experienced an increase in the labour income by moving from the informal towards the formal economy, whereas immigrants who were already working legally in Italy benefited from the increased probability of getting a permanent contract. Enhanced employment stability in turn reduced the uncertainty about future labour income leading to an increase in documented immigrants’ consumption expenditure.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.847
Threshold uncertainty score0.875

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 studies0.0000.001
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 head0.124
GPT teacher head0.230
Teacher spread0.106 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Economics/Revue canadienne d économiqueSame topicMigration and Labor DynamicsFrench-language works237,207