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Record W1510056275

Local Taxes and Local Expenditures: Strengthening the Wicksellian Connection

2013· preprint· en· W1510056275 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueScholarWorks - Georgia State University (Georgia State University) · 2013
Typepreprint
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsnot available
FundersKorea Institute of Public FinanceUnited Nations Development ProgrammeUnited States Agency for International Development
KeywordsRevenueIncentivePublic financeAccountabilityEconomicsLocal governmentBusinessLocal economic developmentFinancePublic economicsMarket economyMacroeconomicsPolitical scienceEconomic growthPublic administration
DOInot available

Abstract

fetched live from OpenAlex

One way to design a local tax system is to determine the desired size and nature of local expenditures and then put in place a tax (and transfer) system providing incentives that lead local decision-makers to choose to finance that expenditure package. In practice, however, there are seldom clear links between local taxes and local expenditures and accountability at the local level is often both confused and confusing. This paper discusses how the Wicksellian connection between local services and revenues might be strengthened by changing the ‘package’ of local services, by altering the ‘package’ of local revenues, and by altering the way in which the two packages are tied together, although it considers in depth only the second of these points. The potential importance of this issue is illustrated by a brief review of an on-going discussion about how to finance the regional public transit system in Toronto, Canada. We conclude that, although advances in technology may make an economically more rational local finance system achievable, it is unclear that people (or politicians) are willing to face the economic realities of local finance.

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.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.828
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.216
Teacher spread0.204 · 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