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Reasons and factors affecting the rate of taxes in canada

Millions of workers disappeared from the workforce and have yet to return. This has magnified the gap between households at one end of the income spectrum and the other.

Our aim here is not to provide one. Alas, as with beauty and issues of fairness, the optimal distribution lies in the eye of the beholder.

Nevertheless, most would agree that reducing the inequality gap is a worthy goal. Understanding what is causing the growing gap between rich and poor is key to figuring out how to reduce it. Or is inequality rooted in more malleable factors like education or tax policy? And the analysis begins with what social scientists call the Gini coefficient.

Gini in a bottle The Ginideveloped by Italian statistician Corrado Gini in 1912, is a measure of income inequality applicable to both small and large populations, from households to countries.

The Gini coefficient is measured on a scale of zero to one. A Gini of zero indicates that everyone in the defined group shares income equally. This outcome is not necessarily good, however, as everyone in the group could be equally poor or destitute. A Gini of one means that one worker earns all the income and everyone else zero. This outcome is not necessarily bad, as many households depend upon the earnings of a single individual assuming the group is a household. The Gini Index tracks which societies are the most unequal, and the Central Intelligence Agency lists some of the latest data on its World Factbook.

Using just the most recent data on this site, Slovenia ranks as the least unequal with a Gini of 0. The latest data on the U. Initially we looked at how just one variable, age, affected the Gini of 30 countries.

  1. Millions of workers disappeared from the workforce and have yet to return.
  2. Among these, the variable that influenced inequality the most was tax policy. Cesarean section rates have been rising steadily.
  3. Initially we looked at how just one variable, age, affected the Gini of 30 countries. Our aim here is not to provide one.
  4. In other words, these findings suggest most inequality is more or less hardwired into our societies and only long-term trends in policy, demographics, etc.

We expanded this to 53 relatively developed countries in various continents and 10 variables. Our analysis showed that the median age of the population appears to have a significant influence on the differences in Gini coefficients, which varies inversely with the median age of the population. That is, older populations are less unequal have a lower Gini than younger ones, probably because as individuals age there is less disparity in their incomes. Retirement from productive endeavors is an obvious leveler of income differences.

In addition, the incentive to pursue ever-higher incomes diminishes as workers approach retirement, producing the age-earnings curve.

Similarly, our analysis shows that greater GDP growth and the percentage of the population employed in the agriculture sector are negatively related to the Gini. That is, countries with higher economic growth or a greater the share of its workers engaged in agriculture have less inequality.

For the most part, the measures identified above can generally be attributed to environmental forces and normal human behavior and are thereby not easily affected by short-term policy. They explain most of the variation among countries in the Gini coefficient.

‘Natural’ causes of inequality

In other words, these findings suggest most inequality is more or less hardwired into our societies and only long-term trends in policy, demographics, etc. Where policy can play a role Our analysis did find that some variables more directly linked to short-term policy choices played a role in explaining the Gini differences among countries. Among these, the variable that influenced inequality the most was tax policy.

In particular, the higher the overall tax rate in terms of revenues as a share of GDP, the lower the Gini. This may help explain why countries like Switzerland and France, which have high tax rates on the wealthy, suffer from less income inequality than the U.

But taxation can be a double-edged sword, as taxes may act as a deterrent to productive income and job creation behavior.

  1. Gini in a bottle The Gini , developed by Italian statistician Corrado Gini in 1912, is a measure of income inequality applicable to both small and large populations, from households to countries.
  2. Using just the most recent data on this site, Slovenia ranks as the least unequal with a Gini of 0. Although this finding is intuitive as were our results on aging and growth , it is comforting to learn that statistical analysis confirms what common sense dictates.
  3. That is, countries with higher economic growth or a greater the share of its workers engaged in agriculture have less inequality. Our analysis showed that the median age of the population appears to have a significant influence on the differences in Gini coefficients, which varies inversely with the median age of the population.

Another policy variable that affects the Gini coefficient is investment. Our analysis showed that increasing investment in productive assets leads to greater income inequality. This seemingly counterintuitive result arises because investment expenditures produce GDP growth at a lag while detracting from current consumption.

Although this finding is intuitive as were our results on aging and growthit is comforting to learn that statistical analysis confirms what common sense dictates. Four variables we tested — inflation, years of schooling, GDP per capita and government deficits as a percent of GDP — had no measurable influence on income inequality.

Together, these factors explain roughly three-quarters of the differences in the Gini among the 53 countries in our review.

‘Natural’ causes of inequality

Understanding what those factors are will require further review. Leveling inequality Putting these results into perspective suggests that some income inequality emanates from environmental forces and normal human behavior. However, public policy may exert a positive influence on reducing income inequality through economic policy that promotes economic growth, lower unemployment, greater labor force participation and appropriate tax policy. Tax and regulatory policy, for example, are indirect ways to influence growth as significant and sustained economic growth has been shown to be among the biggest levelers of income inequality.

We believe public policy would best be structured toward that end.