MétaCan
Menu
Back to cohort
Record W1497160383 · doi:10.20430/ete.v75i298.403

El papel de las agencias de seguros en la competencia entre compañías aseguradoras

2017· article· es· W1497160383 on OpenAlexaff
Leonardo Adrián Medrano

Bibliographic record

VenueEl Trimestre Económico · 2017
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicInsurance and Financial Risk Management
Canadian institutionsSafe Engineering Services & Technologies (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Este artículo estudia el mercado de seguros cuando las compañías aseguradoras (aseguradoras) venden sus pólizas por medio de agencias de seguros (agencias o agentes). Analiza los efectos de las comisiones por ventas pagadas a las agencias en las primas de seguros y en el bienestar del consumidor. Se considera el comportamiento oportunista de las agencias al vender las pólizas emitidas por la aseguradora que le ofrece la comisión mas alta. Se consideran también diferentes estructuras de mercado: un duopolio de aseguradoras que compiten en comisiones (competencia entre aseguradoras), la colusión entre aseguradoras con las agencias manteniendose independientes (colusión horizontal o monopolio de aseguradoras) y la colusión entre aseguradoras y agencias (integración vertical o agentes exclusivos). Mostramos que la competencia entre aseguradoras y la integración vertical generan primas más altas que la colusión horizontal. Además, mostramos que la comisión óptima desde del punto de vista del consumidor pueda ser mayor que la comisión generada por cualquiera de las tres estructuras de mercado antes señaladas.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.004

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 head0.018
GPT teacher head0.256
Teacher spread0.238 · 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.

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

Citations1
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueEl Trimestre EconómicoSame topicInsurance and Financial Risk ManagementFrench-language works237,207