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Record W2594599868 · doi:10.20547/jms.2014.1704102

GSP Plus Status and Income Distribution: A CGE Model for Pakistan

2017· article· en· W2594599868 on OpenAlexaff
Muhammad Shahzad Iqbal, Sofia Anwar, Kakali Mukhopadhay, Muhammad Aamir Khan

Bibliographic record

VenueJournal of Management Sciences · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsComputable general equilibriumIncome distributionDistribution (mathematics)EconomicsEconometricsMathematicsMacroeconomicsInequality

Abstract

fetched live from OpenAlex

The purpose of the study is to investigate the impact of the Generalised System of Preferences (GSP) plus on a household income of Pakistan. The European Union, the largest trading partner of Pakistan, granted the status of GSP plus to Pakistan in December 2013. The study has used MyGTAP, developed by \citeA{minor2013mygtap} to calculate the impact at household level. This MyGTAP model uses the data of the latest available Social Accounting Matrix (SAM) to make changes in the standard GTAP by including multiple types of household and labor. The main findings of the simulations, run under MyGTAP model show a

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.588
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.045
GPT teacher head0.356
Teacher spread0.311 · 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 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

Citations6
Published2017
Admission routes1
Has abstractyes

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