Tuesday, December 11, 2018

Where’s the boom in non-labour earnings?

One of the most notable features of the Irish recovery in recent years has been the surge in employee earnings.  Compensation of employees received in the first half of 2018 was almost 12 per cent higher than in the equivalent period of 2008 (€40.4 billion to €45.2 billion).  The chart below shows this. It is in nominal terms though relative prices between 2008 and 2018 are not hugely different in overall terms.

Compensation of Employees Nominal

But with labour earnings booming it is worth considering what has happened to non-labour income.  The institutional sector accounts allow us to do this. Here is a chart of property income as defined in the institutional sector accounts since 2005.

Household Sector Property Income

The pattern here is very different to the pattern shown in the first chart.  There has been no boom in property income and it remains below the levels seen in 2007 and 2008.

There have been some changes within the total.  Interest received is down 70 per cent since 2008.  The distributed income of corporations returned to its 2008 level in 2017 and has grown 70 per cent since 2013.  It would be useful to get a breakdown of the distributed income of corporations into actual dividends received (which is capital income) and withdrawals from quasi-corporations such as large partnerships (which has some links to employment).  The definitions of the investment income linked to insurance policies and pension entitlements is available here.

One thing to note is that the above chart does not include income earned by households as suppliers as services.  This will include the income of independent traders (the self-employed) and the income of households as a supplier of housing services (landlords).  The only rent included in the above chart is rent on natural resources or land.

To complete our look at earned income we must look at mixed income and gross operating surplus.  Mixed income is the income of the self-employed and the operating surplus of the household income is derived from the provision of housing services.

First, mixed income:

Household Sector Mixed Income

This is still way below the previous peak and is only rising slowly.  This is likely linked to the construction sector and the engagement of contractors.

Second, the gross operating surplus of the household sector:

Household Sector Operating Surplus

OK, so maybe we have a boom in non-labour income after all.  This is the capital income households earn as suppliers of housing services after the deduction of costs for maintenance, repairs, utility charges and property taxes. 

One important consideration here is as most households own their own home it is an imputed income from the housing services they supply to themselves.  Money doesn’t actually change hands but it is the amount as if owner-occupier households were charging rent to themselves.  This imputed rent is based on market rents.

Of course, there are plenty of instances of those owning housing provided housing services to others and charging actual rents for the supply of these services.  It would be ideal if the gross operating surplus shown above was available for actual and imputed rents but it does not appear to be so.

The CSO do provide a measure of net rent of dwellings (i.e. after depreciation) that is divided into actual and imputed rents so this gives a reasonable idea of what has happened.  The net amount for 2017 is around €3.5 billion below the gross amount shown above which reflects the depreciation set against the capital assets.

Household Sector Rent of Dwellings

We can see that since that imputed rents have contributed significantly to the increase in this item of capital income.  Actual rents received have also increased. 

In net terms, actual rents received for housing have increased from €1.8 billion in 2008 to €3.0 billion in 2018.  In fact, the share of actual rents in the above total has increased from 21 per cent in 2008 to 27 per cent in 2017.

An alternative way of looking at this is, rather than look at income, to look at the amount of rent included as consumption.  This is the aggregate amount of housing services consumed so is before the deduction of costs, charges and depreciation.

Household Sector Rents in Consumption

The aggregate amount of actual rents in household consumption expenditure has gone from €3.0 billion in 2008 to €4.5 billion in 2017.  It has gone from 19.5 per cent of household rental consumption to 24.5 per cent.

Anyway, the summary is that the boom in labour income has not been matched by a boom in non-labour income, dwelling rentals and in particular the imputed rentals of dwellings excepted.

Here is a table with the past five years of figures for the main items covered above with a further breakdown of employee compensation by the sectors who pay it.

Household COE Mixed Property Income and Rentals

Since 2013, there has been a €16 billion rise in compensation of employees received and a €3.5 billion rise in the imputed rentals of owner-occupier household to themselves.  The incomes of the self-employed (mixed income) have risen around €2 billion.  After that the changes become even smaller.

In percentage term, the distribution income of corporations paid to households is up 70 per cent and actual rentals paid by household are up 40 per cent though these make relatively small contributions to the overall change in the income of the household sector which has primarily been driven by employee, and to a lesser extent, self-employed income.

The Distribution Impact of Budget Changes

After each budget the ESRI produce excellent analysis on the distributional impact of the announced measures on disposable income.  This tells us whether the budget is regressive or progressive.  The analysis published for Budget 2019 contains the following chart:

ESRI Impact of Budget 2019 changes

It is commonly used to infer the impact the budget had on disposable income.  This is not necessarily true.   The budget did not reduce the disposable income of all households as might be inferred from the above chart.

To understand this it should be noted that these losses shown above are relative to a benchmark scenario, in which welfare payments and tax bands and credits are indexed in line with wage growth.

The chart above shows whether households are better or worse off compared to this benchmark; not relative to their starting position.  In the ESRI benchmark scenario for Budget 2019, wages tax bands and credits and welfare payments are increased by 3.0 per cent.

Let’s try to set up some sample households to see the impact of this.

Example 1
Consider a household with an earned income of 30,000 (and no other income). Assume the single tax rate is 20 per cent and the tax credit is 3,000.

Pre-budget disposable income in 27,000. The benchmark scenario assumes a 3.0 per cent rise in wages and the tax credit. Thus income is assumed to rise to 30,900 and the tax credit becomes 3,090. Disposable income in the benchmark is 27,810 – a rise of 3.0 per cent.

If the budget does nothing to this household (by keeping the tax rate at 20% and the tax credit at 3,000) the distribution analysis will look at the impact of these (non)changes after the assumed 3.0 per cent increase in wages.

Thus, their assumed income of 30,900 will continue to be taxed at 20 per cent with the credit staying at 3,000.  Actual disposable income is expected to rise to 27,720 – a rise of 2.67 per cent

According to the distribution analysis the household is worse off by 0.33 per cent – and that’s even though the budget changed neither the tax rate nor the tax credit they get on their income.

Intuitively we would say the budget has no impact on them, but they are relatively worse off because tax credits did not increase in line with the increase in wages. A greater proportion of their income is now taxed.

The households "effective tax rate" has gone from 10.00 per cent to 10.29 per cent. This is called fiscal drag. They are said to be worse off even though the household disposable income has increased from 27,000 to 27,720. It would have increased to 27,810 if tax credits were increased in line with wage growth. The household are worse off relative to this benchmark by 0.32 per cent but in reality their disposable income has increased by 2.67 per cent (because of the expected wage growth).

Example 2
Consider a household who receive transfer income of 15,600 (and no other income). This one is more straightforward. The benchmark scenario assumes a 3.0 per cent increase in the transfer payment. So the benchmark is a disposable income of 16,068 – a rise of 3.0 per cent.

Let’s assume that the budget sees this family receive am increase in their transfer payments of 6 per week, i.e., an annual gain of 312. This means the household’s disposable income increases to 15,912 – a rise of 2.0 per cent.

According to the distribution analysis this household is worse off by 1.0 per cent – and that’s even though the budget increased their welfare payments by 312. Intuitively we would say that the budget has made them better off but they are relatively worse off because their welfare payment did not increase in line with the increase in wages.

The gap between this household on welfare and a household on wages is now greater (as wages are assumed to have increased by 3.0 per cent). They are said to be worse off even though their disposable income has increased from 15,600 to 15,912.

It should have increased to 16,068 if transfer payments were increased in line with wage growth. The household are worse off relative to this benchmark by 1.0 per cent but their disposable income has actually increased by 2.0 per cent (because of the increased transfer payment).

Distribution Analysis
If our economy is made up of just these two households and we have a budget that does nothing except increase the transfer payment to the household on welfare the distributional analysis where wages are expected to grow by 3.0 per cent is:

  • Welfare Household: –1.00%
  • Wage Household: -0.33%

The budget is regressive and everyone is worse off. Yet the only thing in the budget was an increase in the transfer payment. The budget gave income to the low-income household and did nothing to the high-income household yet is labelled regressive.

This is because the budget failed to offset the impact of the assumed 3.0 per cent increase in wages. It is because of this that the high-income household is relatively better off compared to the low-income household – not because of any changes in the budget.

Before the budget the high/low income ratio was 27,000/15,600 = 1.73. After the budget the ratio is 27,720/15,912 = 1.74 (based on the assumed increase in wages). 

Inequality has increased and we shout at the minister for introducing a regressive budget. The minister looks down at her notes and wonders what sort of eijits is she dealing with as she is after announcing a budget where the only change is an increase in transfer payments to the low-income household. How could that be regressive? It is regressive because income inequality in the economy has increased.

It is also possible that the same budget could be judged as progressive.  If we put in a wage increase of 1.5 per cent the conclusion changes – assumptions matter.  Here is the distribution impact for our simplified scenario with an assumed 1.5 per cent increase in wages.

  • Welfare Household: +0.50%
  • Wage Household: -0.17%

The same budget is now progressive.  This is because the income gap narrows.  The wage household is a little worse off because of the budget, again because tax credits were not increased in line with the expected wage growth (which this time is 1.50 per cent).  The “effective tax rate” goes from 10.00 per cent to 10.15 per cent.  The welfare household have gained because of the increase in the transfer payment and have gained even more relative to wage earners.

By working through the numbers it can be seen that the post-budget income ratio here is 27,360/15,912 = 1.72.  Income inequality has been reduced relative to the starting ratio (1.73).  So the same budget can be both regressive and progressive depending on what initial assumptions are put in.

This might seem like a massive complication of what should be a relatively simple concept – what impact did the budget have on household disposable income. However, a budget is not set in isolation. The impact of the dynamics of the economy (wage growth etc.) have to, or least should, be taken into account when the budget is being formulated so it is right that the impact of the budget is compared to some benchmark of what is expected to happen in the economy rather than the way it is now. We do not live a world where things are static.

This makes the analysis of the ESRI a bit more nuanced to interpret. The key thing we can take from it is whether a budget is regressive or progressive in terms of the income gap between households in a changing economy. Hence the simple contrived example above shows a regressive budget even though all the budget did was give a higher transfer payment to the low income household – it should have given them more to keep pace with the assumed 3.0 per cent growth in wages.

Budget 2019 did not make anybody worse off. Just looking at the measures introduced would show that. What the ESRI are saying is that inequality will increase if the assumed wage growth inputted to the analysis materialises. Hence the budget was regressive – or at least it was from decile three up to decile ten.

This does not mean inequality will rise in 2019. This is because the analysis by the ESRI is micro-based. So, yes, the micro analysis points to greater inequality as a result of government policy relative to a scenario where wages rise by 3.0 per cent.  However, the distributional analysis does not reflect macro factors such as employment growth which obviously has a large impact on inequality – and probably a greater one than the budget measures.

A continued increase in employment in 2019 will likely reduce inequality. A priori, the net effect on inequality between the offsetting micro and macro factors is impossible to determine.  For that we need something like the Survey on Incomes and Living Conditions. SILC 2017 is due to be published by the CSO next week.

Tuesday, October 16, 2018

The household sector accounts make sense again

It’s a well-worn path that Ireland’s national accounts are so heavily distorted by the impact of MNCs that getting any reliable signal from some of the most commonly-used aggregate measures is close to impossible.  The work of the CSO has led to the publication of some bespoke measures from the Irish accounts such as GNI* and CA* that strip away some of the distortions.  These have been welcome additions to the accounts.

Within the accounts themselves the household sector may be a good place to look for underlying trends.  The outcomes for the household sector should reflect many of the underlying trends in economy for incomes, spending, saving, investment and borrowing.

About 18 months ago we did a deep dive and pulled together a coherent narrative from the accounts. In summary, household current spending (consumption) and capital spending (capital formation) was below household income so that the household sector was an aggregate net lender and was using these funds to repay loan liabilities. 

But then, this time last year, the apparent coherence was revised away and the figures at that time reported the household sector to have been a net borrower since 2014.  We returned to this a few times (here, here, here and here). 

At the time we were still waiting to get a clear view of CA* so the net lending/borrowing position of the household sector would have been an important indicator when looking for signs of pressures in the economy.  Except, after last year’s revisions, it didn’t make sense.  But this has now been restored.

If we go all the way to the bottom line we can see the result of the latest revisions.

Household Sector Net Lending Revised Oct 2018

There has been a massive upward revision in the accounts to the net lending position of the household sector.  For the period 2014-2017 in cumulative terms, the household sector has switched from being a net borrower of €1 billion to being a net lender of €16 billion. 

This is much closer to what we would expect given the scale of debt reduction untaken by the household sector in recent years with loan liabilities reducing from over €200 billion in 2008 to under €140 billion now. 

Household Sector Loan Liabilities

It never made sense that the funds for these repayments were coming from the sale of unlisted shares.  That the accounts now show that a large part is coming from unspent income eases any concerns about the build-up of financial pressures in the household sector: the “deleveraging hypothesis” trumps the “overheating hypothesis”, for now at least.  The deleveraging will not continue for ever.

Although not of central concern there may be some interest in looking at where the revisions were entered into the accounts.  Some of it happened in the current account.  There has been some upward revision to the gross savings rate from what was shown this time last year but not massively so.

Household Sector Savings Rate Revised Oct 2018

This has largely been because of an upward revision to household income.  For example, gross disposable income for 2016 has been revised from €95 billion to €97 billion with the result that the gross savings rate is now 1.5 percentage points higher.  The output produced and wages paid by the household sector itself were revised up.

But some of the more significant changes happened in the capital account.  Here are the previous and revised figures for gross capital formation of the household sector.

Household Gross Capital Formation Revised Oct 2018

The 2016 figure for household capital formation has been revised from €8.0 billion down to €5.2 billion.  The main item in the capital formation of households is housing; both the improvement of existing units and the acquisition of new units.  There is even less of this going on then previously thought which is a major reason for the revisions in the net lending shown at the top.

Whatever the reason we now have a set of household accounts that make sense.  The household sector is not spending all its income and is a significant net lender which is what we would expect given the scale of the reduction in household loan liabilities in recent years.  As hinted above this points to wondering what will happen when the deleveraging stops.

Friday, October 12, 2018

The Irish Hare is set to complete its second lap

Here is a chart from Honohan and Walsh (2002) showing Ireland going through a 25-year imbalance cycle from 1975 to 2000.  Internal imbalances are shown through the unemployment rate with external imbalances shown through the balance of payments current account deficit (these are shown using the reverse sign so positive numbers indicate deficits).

Celtic Hare Lap 1

Back in 2009, Honohan pondered whether the hare was heading off on another lap.  He was right (and first raised the possibility with co-author Walsh as early as 2007). 

Anyway, here is an update of the imbalance chart using the modified current account rather than the headline one.  Outturn data from the CSO is used for 2004 to 2017 with figures for 2018 to 2020 coming from the latest Department of Finance forecasts included with Budget 2019.

Celtic Hare Lap 2

The latest lap began with the current account deterioration from 2004 (though it should be noted that the range of the horizontal axis in the second chart is about half that of the first).  The current account did begin to improve after 2008 but this was coincident with the explosion in unemployment (same axis range in both charts) as consumption and, most notably, investment fell. 

Since 2012, we have been closing the loop through rapid falls in unemployment and improvement in the current account.  The current account did deteriorate in 2017 though this may have been an MNC effect related to the acquisition of stocks.  The latest forecasts from the Department of Finance show a continued erosion of the current account surplus from that point as a result of consumption and investment rises.  The forecasts have us getting us back to where we were in 2004 sometime next year or the year after so the final closing of the loop as shown above is still a forecast rather than an outturn.

If it does happen the hare will set a new PB: cutting the the lap time 25 years to 15 years (albeit, as noted by Honohan, the course was shorter this time). What’s in store for the celtic hare? Hard to know.  But let’s hope it takes a breather before heading off on its third lap.

Monday, September 24, 2018

The household sector in the NIE

There are some neat modifications of the tables published in National Income and Expenditure (NIE) accounts included with the 2017 update.  Recent years and have seem improvements in how the household sector is covered in the accounts and this continued with the publication of the full set of tables for the 2017 NIE.  There is a useful information note here.

Here is a table setting out the gross disposable income of households in nominal terms.  This is after tax and transfers with the “gross” referring to depreciation. Click to enlarge.

Gross Disposable Income of Households NIE2017

The main use of disposable income by households is consumption and the main consumption items for the same year are set out in the following table.

Household Consumption Expenditure NIE2017

After consumption expenditure in 2017 households had just over €10 billion available for capital formation (investment) or net lending.  If investment expenditure was more than €10 billion then the household sector would be a net lender as the sum of consumption and investment expenditure could not be funded from disposable income.

We don’t get insight into this from the NIE accounts but we will do so from the Institutional Sector Accounts (ISAs).  The 2017 ISA annual figures will be published in the next few weeks where we will hopefully see the extent to which the household sector is a net lender (i.e. using some of that €10 billion shown above to repay debt). 

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