Two countries have the same average income. In one, almost everyone earns close to that average. In the other, a tenth of the population holds most of it and the rest live near subsistence. The statistic is identical and the societies are nothing alike. Averages describe the size of the cake and say nothing about how it is cut, which is why distribution is a separate question from growth and needs its own tools.
Living standards describe the material and non-material wellbeing of a population. The material side covers income, housing, food, healthcare and access to goods and services. The non-material side covers life expectancy, education, safety, leisure, political freedom and environmental quality. Real GDP per capita is the usual proxy for the first and a poor proxy for the second, which is why measures such as the Human Development Index combine income with life expectancy and educational attainment.
Absolute poverty
A situation in which a person's income is insufficient to afford the basic necessities of life, such as food, clean water, shelter, clothing and healthcare.
Relative poverty is different and the distinction is examined constantly. It describes having substantially less than the typical standard in your own society, commonly defined as an income below some fraction of the median, and it is a statement about inequality rather than about survival. The consequences follow: economic growth can eliminate absolute poverty entirely, because everyone's income rises above the subsistence threshold, while leaving relative poverty untouched or worsening it if the gains go mainly to those already at the top.
The commonest error is treating the two kinds of poverty as degrees of the same thing. They are measured against different benchmarks: absolute poverty against a fixed basket of necessities, relative poverty against the current median in that country. It follows that relative poverty can exist in a rich country and that a country can reduce absolute poverty while relative poverty rises. Saying that explicitly earns marks.
Poverty has identifiable causes and questions expect several. Unemployment removes earned income altogether. Low wages, part-time and insecure work leave people poor despite working. Lack of education and skills restricts access to better-paid jobs and passes disadvantage between generations. Illness or disability limits earning capacity while raising costs. Age matters, since children and the elderly depend on others or on the state. And the absence of a welfare system, or one too small to matter, leaves people with nothing to fall back on when any of these occur.
Governments reduce poverty and inequality through several routes. Progressive taxation takes a larger share from higher incomes. Transfer payments such as unemployment benefit, pensions and child support redistribute directly. Free or subsidised provision of education and healthcare gives access to services that would otherwise be unaffordable, and raises long-term earning capacity. A national minimum wage raises the pay floor. Policies to reduce unemployment, and to widen access to training, tackle the causes rather than the symptoms. Each has costs, and questions almost always want the trade-off as well as the measure.
Testing whether a tax system is progressive
In a country, a worker earning $20,000 pays $2,000 in total tax, while one earning $80,000 pays $20,000. A third earning $200,000 pays $44,000. Calculate the average tax rate for each and classify the system across the whole range.
A country's economy grows and every household's real income doubles. What happens to poverty?
Which measure tackles a cause of poverty rather than relieving its symptoms?
Measuring inequality
Income and wealth are distinct and the distinction matters throughout. Income is a flow, the earnings and receipts arriving over a period. Wealth is a stock, the value of assets held at a point in time. Wealth is invariably distributed far more unequally than income, because assets accumulate over a lifetime and are inherited across generations, and because wealth itself generates income, which allows the gap to widen without any additional effort. Questions that ask about inequality without specifying which are usually best answered by distinguishing them in the first line.
The Lorenz curve plots the cumulative percentage of income received against the cumulative percentage of the population, ranked from poorest to richest. Perfect equality would be the 45 degree line, on which the poorest 20% receive 20% of income. The actual curve sags below it, and the further it sags the greater the inequality. The Gini coefficient converts that picture into a number: the area between the line of equality and the Lorenz curve, as a proportion of the whole triangle beneath the line of equality. It runs from 0 for perfect equality to 1 for the case where one household holds everything, and is often quoted as a percentage.
Draw a Lorenz curve diagram with cumulative percentage of population on the horizontal axis and cumulative percentage of income on the vertical axis. Draw the 45 degree line of perfect equality and a Lorenz curve below it. Shade the area used in the numerator of the Gini coefficient, then draw a second Lorenz curve showing the distribution after progressive taxes and transfers.
The post-redistribution curve lies closer to the line of equality, and the reduction in the shaded area is what redistribution achieves. This diagram is the standard way to show the effect of a policy on inequality, and it is far more convincing than asserting that a policy 'reduces the gap between rich and poor'.
Inequality arises from several sources at once. Wage differentials reflect differences in skills, qualifications and the value of what workers produce. Unemployment removes earned income entirely. Ownership of assets generates income that requires no work and compounds. Inheritance transmits advantage across generations independently of effort or ability. Unequal access to education perpetuates skill differences. And the tax and benefit system itself can widen or narrow the gap depending on how it is designed. Notice that only some of these reflect choices individuals make, which is the observation on which most of the ethical argument turns.
A country's Gini coefficient falls from 0.42 to 0.35 after taxes and benefits are taken into account. What does this show?
Applied context
Comparisons of Gini coefficients before and after taxes and transfers show that countries with similar market inequality can end up markedly different once the state has acted. Several European economies have pre-tax distributions not far from that of the United States yet substantially lower post-tax inequality, the difference being the scale of transfers and of publicly provided services rather than any difference in wage structures. The implication for an exam answer is that the distribution a market produces and the distribution a society ends up with are separate questions, and the second is a policy choice.
Use this to argue that inequality outcomes are not determined by market forces alone. It is a stronger analytical point than any list of redistributive policies.