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Record W2907556670

A quarter of a century of fiscal responsibility: The origins and evolution of fiscal policy governance and institutional arrangements in New Zealand, 1994 to 2018.

2018· preprint· en· W2907556670 on OpenAlexaboutno aff
Robert A. Buckle

Bibliographic record

VenueRePEc: Research Papers in Economics · 2018
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsFiscal policyCorporate governanceTransparency (behavior)BoomGovernment (linguistics)Quarter (Canadian coin)EconomicsEconomic policyFiscal unionPopulationPolitical scienceMacroeconomicsFinanceGeographySociologyLaw
DOInot available

Abstract

fetched live from OpenAlex

The foundations for New Zealand’s current fiscal policy governance and institutional\narrangements were established nearly 25 years ago by the Fiscal Responsibility Act 1994\n(FRA). This Act placed an emphasis on fiscal principles and reporting provisions which\nwere regarded as world-leading fiscal reforms when first introduced. These fundamental\nreforms have been embraced by successive New Zealand governments, and in 2005 were\nincorporated into the Public Finance Act 1989. This paper traces the evolution of the\nprinciples and reporting provisions during the past quarter of a century in response to the\nfiscal challenges posed by intergenerational issues and population ageing, avoiding\nunsustainable government expenditure growth during economic booms, the coordination\nof fiscal and monetary policy, recognition of the economic and social importance of the\nGovernment’s balance sheet, and the demands for greater transparency in fiscal policy\ndecisions and performance. The paper concludes with a discussion of contemporary\nissues and challenges.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.718
Threshold uncertainty score0.567

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0040.011
Scholarly communication0.0070.009
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.031
GPT teacher head0.287
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueRePEc: Research Papers in Economics→Same topicFiscal Policy and Economic Growth→French-language works237,207→