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Record W2464204747 · doi:10.12735/jfe.v4n2p01

The Impact of Globalization on Subnational Expenditures: Efficiency and Compensation Effects

2016· article· en· W2464204747 on OpenAlexvenueno aff
Alberto Porto, Natalia Porto, Noelia Garbero

Bibliographic record

VenueJournal of Finance & Economics · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsOpenness to experienceGlobalizationPanel dataEconomicsIndex (typography)Government (linguistics)Compensation (psychology)Work (physics)Panel analysisEconomic globalizationWelfareWelfare statePublic economicsDevelopment economicsEconometricsPolitical sciencePoliticsMarket economy

Abstract

fetched live from OpenAlex

The aim of this paper is to study the effects of economic openness and globalization on the structure of provincial government expenditures in Argentina. In particular, we are interested in the effects on social expenditures and its components, as an expression of the welfare state. Much of the existing literature has examined this relationship at the country level. This work contributes to this literature by extending analysis to the subnational sector. A dynamic panel data model is estimated using GMM – both in Differences and in Systems for the 24 jurisdictions of Argentina (23 provinces and the city of Buenos Aires) over the period 1993-2010. The paper includes a measure of globalization adapted from the KOF index proposed by Dreher (2006) which is estimated at the level of sub-national governments. Results indicate that economic openness and globalization have a negative impact on the participation of social expenditures. This is the expected result taking into account the “efficiency” effect versus the “compensation” effect.

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 score0.465
Threshold uncertainty score0.327

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 studies0.0000.000
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 head0.016
GPT teacher head0.236
Teacher spread0.220 · 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

Citations7
Published2016
Admission routes1
Has abstractyes

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