With inflation projected to climb to 4.5 percent next year, and continuing at levels in excess of pre-pandemic trends, it is time to assess the varying impacts on income groups. Inflation affects households in different ways, depending on income and consumption patterns. But generally low-income households will fare the worst. Let’s see if we can estimate it.
Across the Board
The following stylised estimate comes with explanations. First, this is not an attempt to measure inflation by income group, but rather the impact of higher prices on income levels. Second, income and expenditure data comes from the 2016 Household Budget Survey so this data is a little out of date. Third, this takes the 5.5 percent headline inflation rate (12 months to December) and applies it to total expenditure regardless of the composition of that spending. Finally, the additional expenditure arising from inflation is measured against total disposable income.
This is what we find.
For the lowest-income group, inflation over the last year represents 8.5 percent of their income. At the highest end, it represents 4.2 percent of income – or less than half the impact on the lowest income group.
This should be treated indicatively. However, this regressive trend shouldn’t surprise us. It is a function of higher savings at the upper levels. For instance, a household whose expenditure is equal to revenue (i.e. they don’t save) will face the full impact of inflation as a percentage of income. However, households that save will experience inflation as a smaller proportion of income. For instance:
- In the highest income group, households spend 76 percent of their income
- In the 9th decile, households spend 89 percent of their income
This doesn’t factor in income rises over the year. And as income and spending data dates from 2016, there could be a change in the gap between highest and lowest income groups. The CSO’s Survey on Income and Living Conditions shows that the ratio between the highest and lowest income fell. But we should also be mindful that, were all households impacted equally, living standards for low-income households would end up worse as they would have to reduce their spending (e.g. turn off the heat in the house, consume less food) or go into debt. Higher income households just save slightly less.
Factoring in Energy Inflation
Let’s wade a little further into the data pond and factor in the impact of domestic energy prices. While inflation averaged 5.5 percent, energy prices (gas, electricity, other fuels) experienced a 27 percent rise. All other goods and services rose by 3.6 percent.
If lower income groups disproportionately spend more (as a percentage of their income) on energy, then the regressive trends we saw above could be exacerbated. And that’s exactly what happens when we factor in energy prices.
Inflation is even higher in the lowest income group, while at the highest level the impact of inflation on revenue falls. Why does this happen? In the lowest decile, spending on energy makes up over 9 percent of total expenditure; at the highest end this figure is 3 percent. Therefore, we shouldn’t be surprised that inflation rises even higher for low-income groups given the level of spending on light and fuel.
However, there is a major health warning in starting a decomposition of average inflation rates. For instance, lower income groups spend a higher proportion on food. Food inflation over the last year has been well below the average (1.2 percent compared to an average 5.5 percent). So if we were to factor in food inflation, we would probably see the gap between the lowest and highest income groups narrow.
[NOTE: while over the year food inflation has been below average, in December it exceeded the average on a month-to-month basis. If food inflation continues to trend above the average, it could be even more damaging to low-income living standards.]
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Where does all this leave us?
- First, the above is just a crude approximation. It would be extremely helpful if the CSO disaggregated inflation by deciles and other categories (age, housing tenure, etc.) so that we could get a more informed perspective on the impact of inflation. The ESRI could also assist using their SWITCH model. It was only after researching this blog post that I came across this Twitter thread from Pearse Doherty, TD, who has written to the CSO seeking such an inflation breakdown.
- Second, we will need to rethink how we redistribute income, moving away from the annual ‘here’s a fiver’ approach to social protection payments. Even linking such payments to average inflation doesn’t take into account of the fact that inflation could be above-average for households reliant on social protection.
- Third, among households that are in formal employment, we are likely to see that inflation is higher for the low-paid. This calls for wage and income strategies that benefit the lower-paid.
- Fourth, we need to address the structural factors in prices; otherwise we’re in danger of cash subsidies chasing prices. Treating energy as a ‘public good’ with price regulation could help smooth out energy price cycles. Targeting free, upfront retrofits – especially for older households and old buildings – can reduce energy consumption and, so, costs. Reducing the costs of public services would also help drive down costs (e.g. public transport fares, as would tackling housing costs (e.g. rent freeze).
Through a range of redistribution and regulatory measures we can start to meet the challenge of a higher inflation environment.
A good start is to get a robust analysis of inflation and living costs throughout all the different sectors of society.
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NOTE: All inflation and Household Budget data taken from CSO. I find it difficult to link individual tables within the CSO's databank. Any suggestions would be welcome.