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Coefficient in sentence

89 examples of Coefficient in a sentence

Though a precise comparison is difficult, there is no doubt that China’s capital coefficient is much higher, implying a larger gap between the growth rate of capital intensity (the total amount of capital needed per dollar of revenue) and that of labor productivity.
Strikingly, one hour north of Wall Street, in Bridgeport, Connecticut, the Gini coefficient – a standard measurement of income distribution and inequality – is worse than in Zimbabwe.
His government can claim to have reduced poverty from 35% to 22% of the population, and also to have maintained a trend towards lower inequality, with the Gini coefficient – a 0-1 scale of wealth concentration – declining from 0.583 in 2003 to 0.548 in 2008.
China’s income distribution has become highly skewed: at 0.438, the Gini coefficient, which measures income inequality, puts the country closer to the United States than to northern Europe’s egalitarian societies (with the exception of the United Kingdom).
As a result, China’s Gini coefficient (a 100-point index of inequality, in which zero signifies absolute equality and one absolute inequality) fell to 0.50 in 2012, from 0.52 in 2010.
From 1990 to 2012, the net Gini coefficient – a common measure of (post-tax and post-transfer) income inequality – increased dramatically in China, from 0.37 to 0.51 (zero signifies perfect equality and one represents perfect inequality).
The authors compare the Gini coefficient (a commonly used 100-point index of inequality, with zero signifying perfect equality and 100 indicating perfect inequality) before and after government taxes and transfers.
They show that only a handful of countries redistribute enough to make more than a ten-point difference in the coefficient, and that redistribution-fueled swings of more than 13 points do tend to have an adverse effect on growth.
The problem is that Chile’s after-tax Gini coefficient is approximately 50 (Brazil, Colombia, and Peru have similar figures), while those of the advanced countries are mostly in the low 30’s or even the high 20’s.
In the United States, for example, the Gini coefficient (the most common measure of inequality) increased by five points from 1990 to 2013.
For example, income inequality in 2016, as measured by the Gini coefficient, was the ninth worst in the world, only one notch better than Zambia.
The most reliable data suggest that he was successful at reducing inequality; during his rule, Venezuela’s Gini coefficient, a 100-point scale measuring income inequality, fell from 50 to 39, the biggest decline in Latin America.
The Gini coefficient of per capita income has surpassed 50 (with 100 representing maximal inequality), putting China in the upper quartile of inequality worldwide.
America’s income inequality has soared in the past 30 years, with the Gini coefficient at 41.1, the second highest among high-income economies, just behind Israel (at 42.8).
They should start by considering the Gini coefficient, a simple and widely used measure of a country’s income or wealth distribution.
Ranging from zero (fully equal) to one (fully unequal), the Gini coefficient is a straightforward mechanism for comparing inequality over time and across countries.
But the Gini coefficient can be different, depending on what one is measuring: inequality of incomes or assets.
For example, the Gini coefficient was declining in Egypt.
But Australia’s Gini coefficient, a standard measure of inequality, is one-third higher than that of Norway, a resource-rich country that has done a particularly good job of managing its wealth for the benefit of all citizens.
The country’s Gini coefficient – a 0-1 scale used to measure dispersions of income and wealth – shows that inequality fell from 0.498 in 1998 to 0.412 in 2008, a drop unparalleled in Latin America.
Colombia remains a highly unequal society, with the Gini coefficient, a common measure of inequality, hovering around 0.5 – in the same range as Brazil and Chile.
Consider the Gini coefficient, the most common measure of inequality, which runs from a value of zero for perfect equality to 100 for perfect inequality (one person receives all the income).
Earlier work by Lustig and her coauthors found that a declining wage premium – that is, a drop in the wage gap between workers with high and low education – explained part of the decline in the Gini coefficient in Latin American countries.
In fact, correcting for differences in prices paid by the rich and the poor improves the Gini coefficient (a common measure of inequality) by 12-23%.
Yet the official data show very small changes in the Gini coefficient (a standard measure of inequality) over this period, with most countries having experienced a decrease in inequality.
The simple correlation coefficient is about -0.9!
In particular, the BRICS suffer from considerable income inequality, with their average Gini coefficient (where zero signifies absolute equality and one is absolute inequality) ranging from 0.37 to 0.50 in 2010-2013.
For the last ten years, its Gini coefficient has hovered around 0.5, up from around 0.3 in 1980 (a coefficient of 1 means a single individual owns everything).
In fact, the relationship between growth and inequality over time has followed a peculiar pattern: China’s Gini coefficient has increased with growth, and decreased when growth has slowed.
The average Gini coefficient (where zero is absolute equality and one is absolute inequality) in Europe is 0.30, compared to 0.45 in the US.
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