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Record W4288520562 · doi:10.29228/ideas.63517

Econometric Assessment Of The Relationship Between Air Pollution And Asthma

2022· article· en· W4288520562 on OpenAlexaboutno aff
Gülay Ekinci

Bibliographic record

VenueInternational Journal of Disciplines In Economics and Administrative Sciences Studies (IDEAstudies) · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicAviation Industry Analysis and Trends
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Background: This study was carried out to determine the impact of Non-methane volatile organic compounds (NMVOC) on the disease of Asthma. Methods: In the analysis, the relationship between NMVOC and disease of asthma was analyzed by using panel data method. In the analyzes; the Least Squares Method, unit root tests, cointegration tests and FMOLS-DOLS tests were used. 15 countries were determined for this study that have regular data between 1990-2018 about NMVOC. These countries were Canada, Czech Republic, Denmark, Finland, France, Greece, Iceland, Ireland, Italy, Netherlands, Norway, Poland, Portugal, Sweden, and Turkey. As the disease; Disability-Adjusted Life Years (DALYs) of asthma was calculated per capita and included in the analysis. Results: Significant relationships were found between NMVOC and disease of asthma in the study. A long-term relationship has been identified between the disease of asthma and NMVOC. The regression analysis revealed that the 1-unit increase in NMVOC created an increase of 0.0000375-0.0000413 units on the burden of disease of asthma. Conclusions: The empirical evidence revealed that NMVOC has increased the disease of Asthma.

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 score0.125
Threshold uncertainty score0.377

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.164
GPT teacher head0.390
Teacher spread0.227 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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