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Record W7034826268

Wealth Tax & Entrepreneurship

2022· other· en· W7034826268 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueYork University Digital Library (York University) · 2022
Typeother
Languageen
FieldComputer Science
TopicComputational Physics and Python Applications
Canadian institutionsYork University
Fundersnot available
KeywordsNational wealthInequalityIndirect taxTax reformProgressive taxState income taxTax revenueTax creditRecessionWealth effect
DOInot available

Abstract

fetched live from OpenAlex

In a time of increasingly growing income inequality and a shrinking middle class, many governments are proposing redistributing wealth using a personal wealth tax. The wealth inequality has further been exasperated by the COVID-19 pandemic resulting in loss of employment. Wealth inequality is far greater than income inequality as wealth accumulation operates in a self-reinforcing way and likely to increase in the absence of taxation. Investment returns tend to increase with wealth and high earners can save more due to their lower marginal propensity to consume. Governments globally have responded to the crisis through stimulus packages which resulted in an increased budget and government deficit to keep the country’s economy from falling into an economic collapse (i.e., a recession or stagflation). This has resulted in ballooning government deficits and a response from governments to find avenues to fund the increased budgets. The wealth tax is a tool that is proposed by politicians to raise tax revenues considering the growing deficit and expanding budgets. While the tax system should help address wealth inequality, the question is whether the wealth tax is the most effective way to do so. This study will examine the impact of a wealth tax adopted by countries and entrepreneurial activity in the country. Will a wealth tax be more beneficial or harmful to a country’s entrepreneurship size? The findings from the longitudinal study showed mixed results as to whether a wealth tax had a negative or positive impact on entrepreneurship. Four main indices which the study found had an interesting relationship with wealth tax were 1) Self-Employed with and without employees, 2) Self-Employed Manufacturing versus Services sector, 3) Self-Employed Youth rates for men versus women, and 4) Self-Employment rates for men versus women. The case event study has also shown that a wealth tax may not be all beneficial and resulted in France repealing their wealth tax.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.314
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.176
Teacher spread0.163 · 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