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Record W7037715365

Ekonomické efekty reformy Nového Zélandu

2006· dissertation· en· W7037715365 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2006
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicNew Zealand Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIncentiveProductivityInflation (cosmology)Private sectorGovernment (linguistics)Public sectorEconomic reformQuarter (Canadian coin)Real gross domestic product
DOInot available

Abstract

fetched live from OpenAlex

New Zealand has gone through remarkable reforms which have encompassed of wide range of government policies which have changed the incentives in private and public sector. This article tries to show the development of New Zealand economy before reform period, shows development of the reforms and tries to assess the economic effects of these reforms. First it analyses the effects in the primary sector, where it defines primary sector as itself and then analyses the incentives that have changed the sector output and conditions. Next the firm dynamics is being analysed as per the effects of the reforms. It is shown that first in some sectors the output proportion in GDP is lowering because of reforms were being made, later it shows this proportion to be rising again. Last, the view is made in effects analysis in labour market, where it has been found, that labour productivity is not growing enough, so the reforms were made too agresively. Next part of this article analyses macroeconomic effects such as public debt, which in brutto has been lowered through reforms to less than 30% of New Zealand GDP. First, inflation which was few years after reforms still in very high rates, but in 1990s it has been reduced well. And finaly the GDP growth itself, where it has been found out, that New Zealand has sacrifised a part of its GDP amount for agressive and fast reforms. Overlooking the period and its effects it has to be said that New Zealand has now a great market economy with transparent public sector, and the sacrifises were probably worth it.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.529
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0010.001
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 head0.011
GPT teacher head0.209
Teacher spread0.198 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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