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Record W4387037261 · doi:10.24148/wp2023-26

Floating Population: Migration With(Out) Family and the Spatial Distribution of Economic Activity

2023· article· en· W4387037261 on OpenAlexaff
Clément Imbert, Joan Monràs, Marlon Seror, Yanos Zylberberg

Bibliographic record

VenueFederal Reserve Bank of San Francisco, Working Paper Series · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsConsumption (sociology)ChinaDemographic economicsEconomicsDistribution (mathematics)PopulationLabour economicsBusinessGeographySociologyDemography

Abstract

fetched live from OpenAlex

This paper argues that migrants’ decision to bring their dependent family members shapes their consumption behavior, their choice of destination, and their sensitivity to migration barriers. We document that in China: (i) rural migrants disproportionately move to expensive cities; (ii) in these cities they live without their family and in poorer housing conditions; and (iii) they remit more, especially when living without their family. We then develop a quantitative general equilibrium spatial model in which migrant households choose whether, how (with or without their family), and where to migrate. We estimate the model using plausibly exogenous variation in wages, housing prices, and exposure to family migration costs. We use the model to estimate migration costs and relate them to migration policy. We find that hukou policies protect workers in large, expensive, and high income cities at the expense of rural households, who use remittances to overcome some of these costs.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score0.991

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 head0.021
GPT teacher head0.271
Teacher spread0.251 · 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

Citations9
Published2023
Admission routes1
Has abstractyes

Explore more

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