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Record W1600632834

Argentina and Brazil: Fiscal Harmonization and Subnational Sales Taxation – State / Provincial VAT versus State / Provincial Retail Sales Tax

2007· preprint· en· W1600632834 on OpenAlexaboutno aff
Horacio Luis Pablo Piffano

Bibliographic record

VenueEl Servicio de Difusión de la Creación Intelectual (National University of La Plata) · 2007
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHarmonizationTax harmonizationTax reformState (computer science)Sales taxGlobalizationBusinessTax policyIndirect taxEconomicsDirect taxValue-added taxPublic economicsEconomic policyInternational economicsAd valorem taxMarket economyTax competition
DOInot available

Abstract

fetched live from OpenAlex

In this paper the problem of “Dual Sales Taxation in a Federal Country” is discussed; and, particularly, “Sub-national VAT versus Provincial Retail Sales Tax” in “Federal/Provincial Sales Tax Coordination”, essentially thinking over two federations -Argentina and Brazil– with different institutional characteristics. First, let me cite three blocks of basic references I recommend on this theme. In author’s alphabetic order, they are: 1) Bird, R. (2005), McLure, Jr., (2005) and Piffano (2003, 2005b) – for direct treatment of the issue -. 2) Cnosen (1987, 2002); McLure, Jr. (1997, 1999); and, Zodrow and Mieszkowski (2002) – about National VAT versus National Retail Sales Tax written when “fundamental tax reform” were discussed in USA - ; and, 3) Bird (1994, 1999); Bird and Gendron (1998, 2001); Keen and Smith (1996, 1999); McLure, Jr. (2000, 2005); Mintz, Wilson, and Gendron (1994), Piffano (1999b, 1999c, 2003, 2005b); and, Varsano (1995, 1999) – when Sub-national taxation and several variants of dual and/or provincial VAT were discussed -. Discussion on this theme is rather complex because, beyond the theory, few country’s experiences are at hand to corroborate theories. Only Canadian case is perhaps the best (good?) example and Brazilian case (the bad one?), apart from the limited example of Argentina and India cases (not so good). The rest of federal countries have only one tier sales taxation (federal, not state or provincial) -of VAT type with some kind of revenue or tax sharing mechanism-, and USA with no federal sales taxation (only states RST).

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.244
Teacher spread0.219 · 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
Published2007
Admission routes1
Has abstractyes

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