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Record W2595658265

Health Care in Canada to Overcome Income Inequality

2016· article· en· W2595658265 on OpenAlexaboutno aff
Egbert McGraw, Yves Robichaud

Bibliographic record

VenueJournal of Legal Ethical and Regulatory Issues · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic inequalityInequalityEconomicsDemographic economicsIncome distributionIncome inequality metricsDevelopment economics
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION The Conference Board of Canada (2014) is concerned that income inequality in Canada has increased over the past 20 years. Since 1990, the richest group of Canadians has increased its share of total national income, while the poorest and middle-income groups have lost ground. The same phenomenon is also happening in the United States. For example, the Economist reported that the democratization of living standards has masked a dramatic concentration of wealth over the past 30 years, on a scale that matches, or even exceeds, the first Golden Age. Including capital gains, the share of national income going to the richest 1% of Americans has doubled since 1980, from 10% to 20%, roughly where it was a century ago. Even more striking, the share going to the top 0.01%, some 16,000 families with an average income of $24M, has quadrupled from just over 1% to 5%. This is a bigger slice of the national pie than the top 0.01% received 100 years ago (The Economist, 2012). This paper will attempt to investigate the concept of income inequality in Canada and, as such, will address the following two objectives: firstly, to show that income inequality has increased over the last years between the rich and the poor, and secondly, what measures are used in Canada in order to diminish income inequality. In the first part of the paper we will present data on the taxpayers' share of income and taxes in Canada. The second part will cover income and wealth inequality on OECD countries before and after social transfers. In the following section, we will use health care in Canada as an example of income distribution. In the last two sections, we will try to identify who pays for health care by presenting the tax bill for each Canadian based on his/her income and the federal transfers to the provinces to fight income inequality and support social programs such as health care. We will finish with a conclusion. TAXPAYERS' SHARE OF INCOME AND TAXES IN CANADA An analysis of the most recent Statistics Canada survey on market, total and after-tax income by economic family type shows that in general, Canada's richest 20% of families takes over 50% of all income. To that effect, we are presenting three tables from Statistics Canada that covers the period from 2007 to 2011 (see Tables 1-A, B, C). These tables ranked the taxpayers by the value of their income on a specified income concept (Market, Total, or Aggregate tax paid). Then, the ranked population is divided into five groups of equal numbers of units, called quintiles. The concept of income covers income received while residents of Canada, or as relevant for income tax purpose in Canada. Market income is the sum of earnings from employment and net self-employed, net investment income, private retirement income and the items on other income. Total income refers to income from all sources including government transfers and before taxes. Table 1-A presents the distribution of Market income in five quintiles for the years 2007 to 2011. For 2011, the highest quintile earned 52.3% of the total Market income earned in Canada, and the lowest quintile earned approximately 1% of the total Market income, showing that income is not evenly distributed. For example, in 2011, the two highest quintiles earned 77.2% (24.9% + 52.3%) of the Market income, and the three lowest quintiles, or 60% of the population, earned 22.8% (1.0% + 7.2% + 14.6%) of the total Market income. We can also observe an increase in inequalities in income distribution from 2007 to 2011. The highest quintile saw an increase in the Market income compared to the two lowest quintiles in which a decrease could be observed. Table 1-B shows the Total income distribution, which includes government transfers to the lower incomes, and it is slightly more distributed. For example, in 2011, the highest quintile earned 47.2% of the Total income, compare to 52.3% for the Market income (Table1-A), and the lowest quintile earned 4. …

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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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score0.837

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.335
Teacher spread0.319 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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