Contribution to GDP Growth of the Change in Inventories: Econ 101 Again

A.  Introduction

The contribution of changes in inventories to changes in reported GDP is easily misunderstood.  One saw this in reports on the recent release (on July 28) by the Bureau of Economic Analysis (BEA) of its first estimate of GDP for the second quarter of 2022.  It estimated that GDP fell – at an annualized rate of -0.9% in the quarter – and that along with the first quarter decline in GDP (at an estimated rate of -1.6%), the US has now seen two straight quarters of falling GDP.  While there will be revisions in the coming months of the second quarter figures, as additional data become available, a fall in GDP for two straight quarters has often been used as a rule of thumb for an economy being in recession.

News reports on the figures noted also that were it not for the estimated change in inventories, GDP would have gone up rather than down.  The estimate was that GDP fell by -0.9% (at an annual rate) in the second quarter, and that the change in private inventories alone accounted for a 2.0% point reduction in GDP.  That is, if the inventory contribution had been neutral, GDP would have grown by about 1% rather than fallen by almost 1%.

But it would be wrong to attribute this to “decreases in inventories”, as some reports did.  Inventories grew strongly in the fourth quarter of 2021, with this continuing at a similarly strong pace in the first quarter of 2022 and still (although at a slower pace) in the second quarter of 2022.  How, then, could this have contributed to a reduction in GDP in 2022?

It is easy to become confused on this.  While really just a consequence of some basic arithmetic, it does require a good understanding of what GDP is and how changes in inventories are reflected in GDP.  I discussed this in a January 2012 post on this blog, but that was more than a decade ago and a revisit to the issue may be warranted.  This post will examine the problem from a different perspective from that used before.  It will start with a review of what GDP measures, and then use some simple numerical examples to show how changes in inventories affect GDP.  It will then use a series of charts, based on actual numbers from the GDP accounts in recent years, to show how changes in inventories have mattered.

A note of the data:  All the figures used come from the BEA National Income and Product Accounts (NIPA), as updated through the July 28 release.  These are often also called by many (including myself) the GDP accounts, but NIPA is the more proper term.  Also, the figures for inventories in the NIPA accounts are for private inventories only.  Inventories held by government entities are small and are not broken out separately in the accounts.  Instead, changes in such inventories are aggregated into the figures for government consumption.  While I will often refer to “inventories” in this post, the measures of those inventories are technically for private inventories only.

B.  Inventories and GDP, with Some Simple Numerical Illustrations

GDP – Gross Domestic Product – is a measure of production (product).  Yet as anyone who has ever taken an Econ 101 class knows, GDP is typically described as (and measured by) how those goods and services are used:  for Consumption plus Investment plus Government Spending plus Net Foreign Trade (Exports less Imports).  In symbols:

GDP = C + I + G + (X-M)

Where “C” is private consumption; “I” is private investment; “G” is government spending on goods or services for direct consumption or investment; and “X-M” is exports minus imports, or net foreign trade.

(Imports, M, can be thought of either as an addition to the supply of available goods or netted out from exports, X, to yield net exports.  To keep the language simple, I will treat it as being netted out from exports.)

Private investment includes investment both in new fixed assets (such as buildings or machinery and equipment) and in accumulation of inventory.  This accumulation of inventory, or net change in inventory, is key to why this equation adds up.  As noted above, GDP is product – how much is produced.  Whatever is produced can then be sold for consumption, fixed asset investment, government spending on consumption or investment, or net exports.  If whatever is produced exceeds what is sold in the period for these various purposes, then the difference will accrue as inventories.  If the amount produced falls short of what is sold, there will have to have been a drawdown of inventories for the demands to have been met.  Otherwise it would not have been possible – the goods had to come from somewhere.

The balancing item is therefore the change in inventories.  It is what allows us to go from an estimate of what is sold to an estimate (if one knows how much inventories changed by) of what was produced, i.e. to Gross Domestic Product.

How then do changes in inventories affect measured GDP?  This is best seen through a series of simple numerical examples, tracing changes in the stock of inventories over time.

Period

Stock

Change

Change in the Change

0

2000

1

2200

200

2

2400

200

0

Start with a stock of inventories in the economy as a whole in period 0 of say 2000 (in whatever units – perhaps billions of dollars).  This stock then grows to 2200 in period 1 and 2400 in period 2.  The change in inventories in period 1 will then be 200, and that change in inventories will be one of the components making up GDP (along with private consumption, private fixed investment, and so on).  It is an investment – an investment in inventories – and thus one of the uses of whatever product was produced in the period.  It will equal the total of what was produced (GDP) less what was sold for the sum of all final demands (private consumption, private fixed Investment, government, and net foreign trade).

With the stock of inventories growing to 2400 in period 2, the change in inventories in that period will once again be 200.  Hence the contribution to GDP will once again be 200.  This is the same as what its contribution to GDP was in the previous period, and hence the higher inventories would not have been a contributor to some higher level of GDP – its contribution to GDP is the same as before.  The change in the change in the stock of inventories is zero.

But this does not mean that inventories fell in period 2.  They grew by 200.  But that was simply the same as its accumulation in the prior period, so it did not add to GDP growth.

To make a contribution to GDP growth in period 2, the addition to inventories would have had to have grown.  For example:

Period

Stock

Change

Change in the Change

0

2000

1

2200

200

2

2500

300

100

In this example, the stock of inventories grew to 2500 in period 2.  The change in inventories was then 300, which is higher than the change in inventories of 200 in period 2 – it is 100 more.  This would be reflected in a GDP in period 2 which would be 100 higher than it would have been otherwise.

If, on the other hand, the pace of inventory accumulation slows, then inventory accumulation will subtract from GDP:

Period

Stock

Change

Change in the Change

0

2000

1

2200

200

2

2300

100

-100

In this example, inventories are still growing in period 2 – to a level of 2300.  This is 100 higher than what it was in period 2.  But the change in inventories is then only 100 – which is less than the change of 200 in period 1.  Inventories are still growing but they will add less to GDP than they had in period 2.  Hence they will subtract from whatever growth in GDP there might have been otherwise.

This is what happened in the recently released estimates for GDP growth in the second quarter of 2022.  Inventories were still growing, but they were growing at a slower pace than in the prior quarter.  In terms of annual rates (and with seasonally adjusted figures), inventories grew by $81.6 billion in the second quarter (in terms of constant 2012 dollar prices; see line 40 of Table 3 of the BEA release).  But this was less than the $188.5 billion growth in inventories in the first quarter of 2022.  In percentage point terms, that difference (a reduction of $106.8 billion) subtracted 2.0% from what GDP growth would have otherwise been in the second quarter (see line 40 of Table 2 of the BEA release).  With the changes in the other components of GDP, the end result was that estimated GDP fell by 0.9% in the quarter.  Thus one can attribute the fall in GDP in the quarter to what happened to inventories, but not because inventories fell.  It was because they did not grow as fast as they had in the previous quarter.

C.  Changes in Inventories in the Data

Based on this, it is of interest to see how inventories have in fact changed quarter to quarter in recent years.  These changes, and especially the changes in the changes, are volatile.  They can make a big difference in the quarter-to-quarter changes in GDP.  Over time, however, they will even out, as there is some desired level of inventories in relation to their sales and producers will target their purchases to levels to try to reach that desired level.

Start with the chart at the top of this post.  It shows the stock of private inventories by quarter going back to 1998.  The figures are in constant 2012 dollars so that inflation is not a factor (and more precisely using what are called “chained” dollars where the weights used to compute the overall indices are based on prior period shares of each of the goods – so the weights shift over time as these shares shift).

Stocks generally move up over time as the economy grows, although there have been reductions in periods when the economy was in recession or otherwise disrupted.  Thus one sees a fall in 2001, due to the recession in the first year of the Bush II administration, an especially sharp fall in 2008 with the onset of the economic and financial collapse in the last year of the Bush II administration with this then carrying over into 2009, and then a fall again in 2020 due to the Covid lockdowns.  The trough in the most recent downturn was reached in the third quarter of 2021, following which the stock of inventories grew rapidly.  They are still, however, slightly below the level reached in mid-2019 even though GDP is higher now than what it was then.

One starts with the stocks, but as was discussed above, the contribution to GDP comes from the accumulation of inventories – the change in the stocks.  These changes, based on the figures underlying the chart at the top of this post, have been:

There is considerable quarter-to-quarter volatility.  Note that the figures here are expressed in terms of annual rates.  That is, they are each four times what the actual change was (in dollar terms) in the given quarter.  One sees that the change in the fourth quarter of 2021 was quite high – higher than in any other quarter of this 24-year period – and was still almost as high in the first quarter of 2022.  The increase was then less in the second quarter of 2022, but was still a substantial increase (of $81.6 billion at an annual rate) in the quarter.

The changes in inventories are a component of GDP, but the contribution to the growth in GDP comes from the changes in the change in inventories.  These are easily computed as well by simple subtraction, and were:

These are now very highly volatile, and one sees especially sharp fluctuations in the last couple of years.  With all the disruptions of the lockdowns, the subsequent supply chain disruptions, and the very strong recovery of the economy in 2021 (with GDP growing faster than in any year in almost four decades, and private consumption growing faster than in any year since 1946!), it has been difficult to manage production to meet expected demands and allow for some desired target level of inventories.

This had a substantial impact on the quarter-to-quarter changes in GDP, both positive and negative.  Focussing on the recent quarters, the changes in inventories were a $193.2 billion increase in the fourth quarter of 2021, and as noted before, a further $188.5 billion increase in the first quarter of 2022 and a further although smaller increase of $81.6 billion in the second quarter of 2022.  These were the changes in inventories.  But the changes in the changes, which is what will add to or subtract from GDP growth, were a very high $260.0 billion in the fourth quarter of 2021, and then a fall of $4.7 billion in the first quarter of 2022.  This reduction in the first quarter of 2022 came despite inventories increasing in that quarter by close to a record high level.  But they followed a quarter where inventories rose by a bit more, so the change in the change was small and indeed a bit negative.

In the second quarter of 2022 inventories again rose – by $81.6 billion.  But following the close to record high growth in the first quarter of 2022, its contribution to the growth in GDP in the quarter was substantially negative.  The $81.6 billion increase in inventories in the second quarter was $106.9 billion less than the increase of $188.5 billion in the first quarter.  And it is this $106.9 billion which is a contribution to (or in this case a subtraction from) what GDP growth would have been in the quarter.

Finally, one can show this also in the possibly more helpful units of the percentage point contribution to the growth in GDP:

Although in different units, the chart here mirrors closely the preceding one, as one would expect if one has been doing the calculations correctly.  The only difference, in principle, is that with GDP growth over time, the dollar values of the quarter-to-quarter changes will look larger when expressed as a share of GDP in the earlier years of the period.

There are, however, some minor differences deriving from the nature of the data used.  The chart here was drawn directly from the figures presented in the BEA NIPA accounts for the percentage point contributions to GDP growth from changes in inventories.  One can also calculate it by taking the quarterly changes in the change in constant dollar terms (from the preceding chart, in red), dividing it by the previous quarter’s GDP (as one is looking at growth over the preceding quarter), and then annualizing it by taking one plus the ratio to the fourth power.  I did that, and the curve lies very close to on top of the curve shown here (in orange).

But not quite, due in part to rounding errors that compound when one is taking the changes and then the changes in the changes.  In addition, inventories by their nature are highly heterogeneous, with some going up and some down in any given period even though there is some bottom line total on whether the aggregate rose or fell.  This makes working with price indices tricky.  The BEA figures are based on far more disaggregated calculations than the ones they present in the NIPA accounts, and their underlying data also have more significant digits than what they show in the tables they report.

D.  Inventories to Sales, and Near Term Prospects

What will happen to inventories now?  Given how important changes in inventories are to the quarter-to-quarter figures on GDP growth, economists have long tried to develop some system to predict how they will change (as have Wall Street analysts, where success in this could make some of them very rich).  But they have all failed (at least to my knowledge).

One statistic that many focus on, quite logically, is the ratio of inventory to sales:

The figures here were computed from data reported in the BEA NIPA Accounts, Table 5.8.6B, where inventories include all private inventories while sales are of goods (including newly built structures) sold by domestic businesses.  Inventories are by nature of goods only, and hence one should leave out services (as an increasing share of services in GDP would, on its own, lead to a fall in the ratio).  Sales of newly built structures are included as one has inventories of building materials.  The figures on the sale of goods by domestic businesses are provided by the BEA.  Note that “sales” here are expressed on a monthly basis.  Hence the ratio is of inventories in terms of months of sales.

As one sees in the chart, the ratio of inventory to sales has been coming down over time.  This is consistent with all the literature advising on tighter inventory management.  There was then an unusually sharp decline in 2020 – a consequence of the Covid lockdowns – that bottomed out in the second quarter of 2021 (as a share of sales) and has since grown strongly.  But the ratio is still below where it was prior to the pre-Covid trend, although how much below depends on how one would draw the trend line pre-Covid.

Where will it go from here?  While important to what will happen to the quarter-to-quarter figures for GDP growth, as discussed above, I doubt that anyone has a good forecast of what that will be.  While there might well be room for the inventory to sales ratio to rise from where it is now, keep in mind that the ratio can rise not only by adding to inventories but also by sales going down.  And while GDP growth was exceptionally strong in 2021, it has been weak so far this year (indeed negative) and that weakness might well worsen.  Personally, while I do not see that the economy is in recession now (employment growth has been strong, with 2.7 million net new jobs in the first half of 2022, and the unemployment rate has been just 3.6% for several months now), the likelihood of a recession in 2023 is, I would say, quite high.

There also have been recent announcements by major retailers that the inventories they are currently holding are well in excess of what they want, and that they will take exceptional measures to try to bring them down.  Target announced a plan to do so in June (with a warning it will squeeze their near-term profits), Walmart announced in July they had similar issues (and that it would slash prices to move that inventory), and other retailers have announced similar problems.  If this is indeed a general issue, then those efforts to bring down inventories in themselves will act as a strong drag on the economy, making a recession even more likely.  And as was discussed above, the stock of inventories does not need to fall in absolute terms to cut GDP growth – a change that is less than what the change had been in the prior period will subtract from GDP growth, even though the inventories may still be growing in absolute terms.

Firms such as Target and Walmart employ many highly trained professionals to manage their inventories.  Yet even they find it difficult to get their inventories to come out where they want them to be.  If they and others now begin a concerted effort to bring down their inventory levels in the coming months, the impact on GDP in the rest of this year could be severe.

Trump’s Economic Record in Charts

A.  Introduction

Donald Trump has repeatedly asserted that he built “the greatest economy in history”.  A recent example is in his acceptance speech for the Republican nomination to run for a second term.  And it is not a surprise that Trump would want to claim this.  It would be nice, if true.  But what is surprising is that a number of election surveys have found that Trump polls well on economic issues, with voters rating Trump substantially above Biden on who would manage the economy better.

Yet any examination of Trump’s actual record, not just now following the unprecedented economic collapse this year resulting from the Covid-19 crisis, but also before, shows Trump’s repeated assertion to be plainly false.

The best that can be said is that Trump did not derail, in his first three years in office, the economic expansion that began with the turnaround Obama engineered within a half year of his taking office in 2009 (when Obama had inherited an economy that was, indeed, collapsing).  But the expansion that began under Obama has now been fully and spectacularly undone in Trump’s fourth year in office, with real GDP in the second quarter of 2020 plummeting at an annualized rate of 32% – to a level that is now even well below what it was when Trump took office.  The 32% rate of decline is by far the fastest decline recorded for the US since quarterly data on GDP began to be recorded in 1947 (the previous record was 10%, under Eisenhower, and the next worst was an 8.4% rate of decline in the last quarter of 2008 at the very end of the Bush administration.

This post will look at Trump’s record in comparison to that not just of Obama but also of all US presidents of the last almost 48 years (since the Nixon/Ford term).  For his first three years in office, that Trump record is nothing special.  It is certainly and obviously not the best in history.  And now in his fourth year in office, it is spectacularly bad.

The examination will be via a series of charts.  The discussion of each will be kept limited, but the interested reader may wish to study them more closely – there is a lot to the story of how the economy developed during each presidential administration.  But the primary objective of these “spaghetti” charts is to show how Trump’s record in his first three years in office fits squarely in the middle of what the presidents of the last half-century have achieved.  It was not the best nor the worst over those first three years – Trump inherited from Obama an expanding and stable economy.  But then in Trump’s fourth year, it has turned catastrophic.

Also, while there is a lot more that could be covered, the post will be limited to examination of the outcomes for growth in overall output (GDP), for the fiscal accounts (government spending, the fiscal deficit, and the resulting public debt), the labor market (employment, unemployment, productivity, and real wages), and the basic trade accounts (imports, exports, and the trade balance).

The figures for the charts were calculated based on data from a number of official US government sources.  Summarizing them all here for convenience (with their links):

a)  BEA:  Bureau of Economic Analysis of the US Department of Commerce, and in particular the National Income and Product Accounts (NIPA, also commonly referred to as the GDP accounts).

b)  BLS:  Bureau of Labor Statistics of the US Department of Labor.

c)  OMB Historical Tables:  Office of Management and Budget, of the White House.

d)  Census Bureau – Foreign Trade Data:  Of the US Department of Commerce.

It was generally most convenient to access the data via FRED, the Federal Reserve Economic Database of the St. Louis Fed.

B.  Real GDP

Trump likes to assert that he inherited an economy that was in terrible shape.  Larry Kudlow, the director of the National Economic Council and Trump’s principal economic advisor recently asserted, for example in his speech to the Republican National Convention, that the Trump administration inherited from Obama “a stagnant economy that was on the front end of a recession”.  While it is not fully clear what a “front end” of a recession is (it is not an economic term), the economy certainly was not stagnant and there was no indication whatsoever of a recession on the horizon.

The chart at the top of this post shows the path followed by real GDP during the course of Obama’s first and second terms in office, along with that of Trump’s term in office thus far.  Both are indexed to 100 in the first calendar quarter of their presidential terms.  Obama inherited from Bush an economy that was rapidly collapsing (with a banking system in ruin) and succeeded in turning it around within a half year of taking office.  Subsequent growth during the remainder of Obama’s first term was then similar to what it was in his second term (with the curve parallel but shifted down in the first term due to the initial downturn).

Growth in the first three years of Trump’s presidency was then almost exactly the same as during Obama’s second term.  There is a bit of a dip at the start of the second year in Obama’s second term (linked to cuts in government spending in the first year of Obama’s second term – see below), but then a full recovery back to the previous path.  At the three-year mark (the 12th quarter) they are almost exactly the same.  To term this stagnation under Obama and then a boom under Trump, as Kudlow asserted, is nonsensical – they are the same to that point.  But the economy has now clearly collapsed under Trump, while it continued on the same path as before under Obama.

Does Trump look better when examined in a broader context, using the record of presidents going back to the Nixon/Ford term that began almost 48 years ago?  No:

The best that can be said is that the growth of real GDP under Trump in his first three years in office is roughly in the middle of the pack.  Growth was worse in a few administrations – primarily those where the economy went into a recession not long after they took office (such as in the first Reagan term, the first Bush Jr. term, and the Nixon/Ford term).  But growth in most of the presidential terms was either similar or distinctly better than what we had under Trump in his first three years.

And now real GDP has collapsed in Trump’s fourth year to the absolute worst, and by a very significant margin.

One can speculate on what will happen to real GDP in the final two quarters of Trump’s presidency.  Far quicker than in earlier economic downturns, Congress responded in March and April with a series of relief bills to address the costs of the Covid-19 crisis, that in total amount to be spent far surpass anything that has ever been done before.  The Congressional Budget Office (CBO) estimates that the resulting spending increases, tax cuts, and new loan facilities of measures already approved will cost a total of $3.1 trillion.  This total approved would, by itself, come to 15% of GDP (where one should note that not all will be spent or used in tax cuts in the current fiscal year – some will carry over into future years).  Such spending can be compared to the $1.2 trillion, or 8.5% of the then GDP, approved in 2008/09 in response to that downturn (with most of the spending and tax cuts spread over three years).  Of this $1.2 trillion, $444 billion was spent under the TARP program approved under Bush and $787 billion for the Recovery Act under Obama).

And debate is currently underway on additional relief measures, where the Democratic-controlled Congress approved in May a further $3 trillion for relief, while leaders in the Republican-controlled Senate have discussed a possible $1 trillion measure.  What will happen now is not clear.  Some compromise in the middle may be possible, or nothing may be passed.

But the spending already approved will have a major stimulative effect.  With such a massive program supporting demand, plus the peculiar nature of the downturn (where many businesses and other centers of employment had to be temporarily closed as the measures taken by the Trump administration to limit the spread of the coronavirus proved to be far from adequate), the current expectation is that there will be a significant bounceback in GDP in the third quarter.  As I write this, the GDPNow model of the Atlanta Fed forecasts that real GDP in the quarter may grow at an annualized rate of 29.6%.  Keep in mind, however, that to make up for a fall of 32% one needs, by simple arithmetic, an increase of 47% from the now lower base.  (Remember that to make up for a fall of 50%, output would need to double – grow by 100% – to return to where one was before.)

Taking into account where the economy is now (where there was already a 5% annualized rate of decline in real GDP in the first quarter of this year), what would growth need to be to keep Trump’s record from being the worst of any president of at least the last half-century?  Assuming that growth in the third quarter does come to 29.6%, one can calculate that GDP would then need to grow by 5.0% (annualized) in the fourth quarter to match the currently worst record – of Bush Jr. in his second term.  And it would need to grow by 19% to get it back to where GDP was at the end of 2019.

C.  The Fiscal Accounts

Growth depends on many factors, only some of which are controlled by a president together with congress.  One such factor is government spending.  Cuts in government spending, particularly when unemployment is significant and businesses cannot sell all that they could and would produce due to a lack of overall demand, can lead to slower growth.  Do cuts in government spending perhaps explain the middling rate of growth observed in the first three years of Trump’s term in office?  Or did big increases in government spending spur growth under Obama?

Actually, quite the opposite:

Federal government spending on goods and services did rise in the first year and a half of Obama’s first term in office, with this critical in reversing the collapsing economy that Obama inherited.  But the Republican Congress elected in 2010 then forced through cuts in spending, with further cuts continuing until well into Obama’s second term (after which spending remained largely flat).  While the economy continued to expand at a modest pace, the cuts slowed the economy during a period when unemployment was still high.  (There is also government spending on transfers, where the two largest such programs are Social Security and Medicare, but spending on such programs depends on eligibility, not on annual appropriations.)

Under Trump, in contrast, government spending has grown, and consistently so.  And indeed government spending grew under Trump at a faster pace than it had almost any other president of the last half-century (with even faster growth only under Reagan and Bush, Jr., two presidents that spoke of themselves, as Trump has, as “small government conservatives”):

The acceleration in government spending growth under Trump did succeed, in his first three years in office, in applying additional pressure on the economy in a standard Keynesian fashion, which brought down unemployment (see below).  But this extra government spending did not lead to an acceleration in growth – it just kept it growing (in the first three years of Trump’s term) at the same pace as it had before, as was seen above.  That is, the economy required additional demand pressure to offset measures the Trump administration was taking which themselves would have reduced growth (such as his trade wars, or favoritism for industries such as steel and aluminum, which harmed the purchasers of steel and aluminum such as car companies and appliance makers).

Trump has also claimed credit for a major tax cut bill (as have Reagan and Bush, Jr.).  They all claimed this would spur growth (none did – see above and a more detailed analysis in this blog post), and indeed such sufficiently faster growth, they predicted, that tax revenue would increase despite the reductions in the tax rates.  Hence fiscal deficits would be reduced.  They weren’t:

Fiscal deficits were large and sustained throughout the Reagan/Bush Sr. years.  They then moved to a fiscal surplus under Clinton, following the major tax increase passed in 1993 and the subsequent years of steady and strong growth.  The surplus was then turned back again into a deficit under Bush Jr., with his major tax cuts of 2001 and 2003 coupled with his poor record for economic growth.  Obama then inherited a high fiscal deficit, which grew higher due to the economic downturn he faced on taking office and the measures that were necessary to address it.  But with the economic recovery, the deficit under Obama was then reduced (although at too fast a pace –  this held back the economy, especially in the early years of the recovery when unemployment was still high).

Under Trump, in contrast, the fiscal deficit rose in his first three years in office, at a time when unemployment was low.  This was the time when the US should have been strengthening rather than weakening the fiscal accounts.  As President Kennedy said in his 1962 State of the Union Address: “The time to repair the roof is when the sun is shining.”  Under Trump, in contrast, the fiscal deficit was reaching 5% of GDP even before the Covid-19 crisis.  The US has never before had such a high fiscal deficit when unemployment was low, with the sole exception of during World War II.

This left the fiscal accounts in a weak condition when government spending needed to increase with the onset of the Covid-19 crisis.  The result is that the fiscal deficit is expected to reach an unprecedented 16% of GDP this fiscal year, the highest it has ever been (other than during World War II) since at least 1930, when such records began to be kept.

The consequence is a public debt that is now shooting upwards:

As a share of GDP, federal government debt (held by the public) is expected to reach 100% of GDP by September 30 (the end of the fiscal year), based on a simple extrapolation of fiscal account and debt data currently available through July (see the US Treasury Monthly Statement for July, released August 12, 2020).  And with its momentum (as such fiscal deficits do not turn into surpluses in any short period of time), Trump will have left for coming generations a government debt that is the highest (as a share of GDP) it has ever been in US history, exceeding even what it was at the end of World War II.

When Trump campaigned for the presidency in 2016, he asserted he would balance the federal government fiscal accounts “fairly quickly”.  Instead the US will face this year, in the fourth year of his term in office, a fiscal deficit that is higher as a share of GDP than it ever was other than during World War II.  Trump also claimed that he would have the entire federal debt repaid within eight years.  This was always nonsense and reflected a basic lack of understanding.  But at least the federal debt to GDP ratio might have been put on a downward trajectory during years when unemployment was relatively low.  Instead, federal debt is on a trajectory that will soon bring it to the highest it has ever been.

D.  The Labor Market

Trump also likes to assert that he can be credited with the strongest growth in jobs in history.  That is simply not true:

Employment growth was higher in Obama’s second term than it ever was during Trump’s term in office.  The paths were broadly similar over the first three years of Trump’s term, but Trump was simply – and consistently – slower.  In Obama’s first term, employment was falling rapidly (by 800,000 jobs a month) when Obama took his oath of office, but once this was turned around the path showed a similar steady rise.

Employment then plummeted in Trump’s fourth year, and by a level that was unprecedented (at least since such statistics began to be gathered in 1947).  In part due to the truly gigantic relief bills passed by Congress in March and April (described above), there has now been a substantial bounceback.  But employment is still (as of August 2020) well below what it was when Trump took office in January 2017.

Even setting aside the collapse in employment this year, Trump’s record in his first three years does not compare favorably to that of other presidents:

A few presidents have done worse, primarily those who faced an economy going into a downturn as they took office (Obama) or where the economy was pushed into a downturn soon after they took office (Bush Jr., Reagan) or later in their term (Bush Sr., Nixon/Ford).  But the record of other presidents was significantly better, with the best (which some might find surprising) that of Carter.

Trump also claims credit for pushing unemployment down to record low levels.  The unemployment rate did, indeed, come down (although not to record low rates – the unemployment rate was lower in the early 1950s under Truman and then Eisenhower, and again in the late 1960s).  But one cannot see any significant change in the path on the day Trump was inaugurated compared to what it had been under Obama since 2010:

And of course now in 2020, unemployment has shot upwards to a record level (since at least 1948, when these records began to be kept systematically).  It has now come down with the bounceback of the economy, but remains high (8.4% as of August).

Over the long term, nothing is more important in raising living standards than higher productivity.  And this was the argument Trump and the Republicans in Congress made to rationalize their sharp cuts in corporate tax rates in the December 2017 tax bill.  The argument was that companies would then invest more in the capital assets that raise productivity (basically structures and equipment).  But this did not happen.  Even before the collapse this year, private non-residential investment in structures and equipment was no higher, and indeed a bit lower, as a share of GDP than what it was before the 2017 tax bill passed.

And it certainly has not led to a jump in productivity:

Productivity growth during Trump’s term in office has been substantially lower (by 3%) than what it was during Obama’s first term, although somewhat better than during Obama’s second term (by a cumulative 1% point at the same calendar quarter in their respective terms).

And compared to that of other presidents, Trump’s record on productivity gains is nothing special:

Finally, what happened to real wages?  While higher productivity growth is necessary in the long term for higher wages (workers cannot ultimately be paid more than what is produced), in the short term a number of other factors (such as relative bargaining strength) will dominate.  When unemployment is high, wage gains will typically be low as firms can hire others if a worker demands a higher wage.  And when unemployment is low, workers will typically be in a better bargaining position to demand higher wages.

How, then, does Trump’s record compare to that of Obama?:

During the first three years of Trump’s tenure in office, real wage gains were basically right in the middle of what they were over the similar periods in Obama’s two terms.  But then it looks like real wages shot upwards at precisely the time when the Covid-19 crisis hit.  How could this be?

One needs to look at what lies behind the numbers.  With the onset of the Covid-19 crisis, unemployment shot up to the highest it has been since the Great Depression.  But two issues were then important.  One is that when workers are laid off, it is usually the least senior, least experienced, workers who are laid off first.  And such workers will in general have a lower wage.  If a high share of lower-wage workers become unemployed, then the average wage of the workers who remain employed will go up.  This is a compositional effect.  No individual worker may have seen an increase in his or her wage, but the overall average will go up if fewer lower-wage workers remain employed.

Second, this downturn was different from others in that a high share of the jobs lost were precisely in low-wage jobs – workers in restaurants, cafeterias, and hotels, or in retail shops, or janitors for office buildings, and so on.  As the economy shut down, these particular businesses had to close.  Many, if not most, office workers could work from home, but not these, commonly low-wage, workers.  They were laid off.

The sharp jump in average real wages in the second quarter of 2020 (Trump’s 14th quarter in office) is therefore not something to be pleased about.  As the lower-wage workers who have lost their jobs return to being employed, one should expect this overall average wage to fall back towards where it was before.

But the path of real wages in the first three years of Trump’s presidency, when the economy continued to expand as it had under Obama, does provide a record that can be compared.  How does it look relative to that of other presidents of the last half-century?:

Again, Trump’s record over this period is in the middle of the range found for other presidents.  It was fairly good (unemployment was low, which as noted above would be expected to help), but real wages in the second terms of Clinton and Obama rose by more, and performance was similar in Reagan’s second term.

E.  International Trade Accounts

Finally, how does Trump’s record on international trade compare to that of other presidents?  Trump claimed he would slash the US trade deficit, seeing it in a mercantilistic way as if a trade deficit is a “loss” to the country.  At a 2018 press conference (following a G-7 summit in Canada), he said, for example, “Last year,… [the US] lost  … $817 billion on trade.  That’s ridiculous and it’s unacceptable.”  And “We’re like the piggybank that everybody is robbing.”

This view on the trade balance reflects a fundamental lack of understanding of basic economics.  Equally worrisome is Trump’s view that launching trade wars targeting specific goods (such as steel and aluminum) or specific countries (such as China) will lead to a reduction in the trade deficit.  As was discussed in an earlier post on this blog, the trade balance ultimately depends on the overall balance between domestic savings and domestic investment in an economy.  Trade wars may lead to reductions in imports, but then there will also be a reduction in exports.  If the trade wars do not lead to higher savings or lower investment, such trade interventions (with tariffs or quotas imposed by fiat) will simply shift the trade to other goods or other nations, leaving the overall balance where it would have been based on the savings/investment balance.

But we now have three and a half years of the Trump administration, and can see what his trade wars have led to.  In terms of imports and exports:

Imports did not go down under Trump – they rose until collapsing in the worldwide downturn of 2020.  Exports also at first rose, but more slowly than imports, and then leveled off before imports did.  They then also collapsed in 2020.  Going back a bit, both imports and exports had gone up sharply during the Bush administration.  Then, after the disruption surrounding the economic collapse of 2008/9 (with a fall then a recovery), they roughly stabilized at high levels during the last five years of the Obama administration.

In terms of the overall trade balance:

The trade deficit more than doubled during Bush’s term in office.  While both imports and exports rose (as was seen above), imports rose by more.  The cause of this was the housing credit bubble of the period, which allowed households to borrow against home equity (which in turn drove house prices even higher) and spend that borrowing (leading to higher consumption as a share of current income, which means lower savings).  This ended, and ended abruptly, with the 2008/9 collapse, and the trade deficit was cut in half.  After some fluctuation, it then stabilized in Obama’s second term.

Under Trump, in contrast, the trade deficit grew compared to where it was under Obama.  It did not diminish, as Trump insisted his trade wars would achieve, but the opposite.  And with the growing fiscal deficit (as discussed above) due to the December 2017 tax cuts and the more rapid growth in government spending (where a government deficit is dis-saving that has to be funded by borrowing), this deterioration in the trade balance should not be a surprise.  And I also suspect that Trump does not have a clue as to why this has happened (nor an economic advisor willing to explain it to him).

F.  Conclusion

There is much more to Trump’s economic policies that could have been covered.  It is also not yet clear how much damage has been done to the economic structure from the crisis following the mismanagement of Covid-19 (with the early testing failures, the lack of serious contact tracing and isolation of those who may be sick, and importantly, Trump’s politicizing the wearing of simple masks).  Unemployment rose to record levels, and this can have a negative impact (both immediate and longer-term) on the productivity of those workers and on their subsequent earnings.  There has also been a jump in bankruptcies, which reduces competition.  And bankrupt firms, as well as stressed firms more generally, will not be able to repay their loans in full.  The consequent weakening of bank balance sheets will constrain how much banks will be able to lend to others, which will slow the pace of any recovery.

But these impacts are still uncertain.  The focus of this post has been on what we already know of Trump’s economic record.  It is not a good one. The best that can be said is that during his first three years in office he did not derail the expansion that had begun under Obama.  Growth continued (in GDP, employment, productivity, wages), at rates similar to what they were before.  Compared to paths followed in other presidencies of the last half-century, they were not special.

But this growth during Trump’s tenure in office was only achieved with rapid growth in federal government spending.  Together with the December 2017 tax cuts, this led to a growing, not a diminishing, fiscal deficit.  The deficit grew to close to 5% of GDP, which was indeed special:  Never before in US history has the fiscal deficit been so high in an economy at or close to full employment, with the sole exception of during World War II.

The result was a growing public debt as a share of GDP, when prudent fiscal policy would have been the reverse.  Times of low unemployment are when the country should be reducing its fiscal deficit so that the public debt to GDP ratio will fall.  Reducing public dis-saving would also lead to a reduction in the trade deficit (other things being equal).  But instead the trade deficit has grown.

As a consequence, when a crisis hits (as it did in 2020) and government needs to spend substantial sums for relief (as it had to this year), the public debt to GDP ratio will shoot upwards from already high levels.  Republicans in Congress asserted in 2011 that a public debt of 70% of GDP was excessive and needed to be brought down rapidly.  Thus they forced through spending cuts, which slowed the recovery at a time when unemployment was still high.

But now public debt under Trump will soon be over 100% of GDP.  Part of the legacy of Trump’s term in office, for whoever takes office this coming January 20, will therefore be a public debt that will soon be at a record high level, exceeding even that at the end of World War II.

This has certainly not been “the greatest economy in history”.

How Fast is GDP Growing?: A Curiosum

A.  How Fast is GDP Growing?

The Bureau of Economic Analysis released today its first estimate (what it calls it’s Advance Estimate) for the growth of GDP and its components for the third quarter of 2019.  Most of it looked basically as one would expect, with an estimate of real GDP growth of 1.9% in the quarter, or about the same as the 2.0% growth rate of the second quarter.  There has been a continued slowdown in private investment (which I will discuss below), but this has been offset by an expansion in government spending under Trump, coupled with steady growth in personal consumption expenditures (as one would expect with an economy now at full employment).

But there was a surprise on the last page of the report, in Appendix Table A.  This table provides growth rates of some miscellaneous aggregates that contribute to GDP growth, as well as their contribution to overall GDP growth.  One line shown is for “motor vehicle output”.  What is surprising is that the growth rate shown, at an annualized rate, is an astounding 32.6%!  The table also indicates that real GDP excluding motor vehicle output would have grown at just 1.2% in the quarter.  (I get 1.14% using the underlying, non-rounded, numbers, but these are close.)  The difference is shown in the chart above.

Some points should be noted.  While all these figures provided by the BEA are shown at annualized growth rates, one needs to keep in mind that the underlying figures are for growth in just one quarter.  Hence the quarterly growth will be roughly one-quarter of the annual rate, plus the effects of compounding.  For the motor vehicle output numbers, the estimated growth in the quarter was 7.3%, which if compounded over four quarters would yield the 32.6% annualized rate.  One should also note that the quarterly output figures of this sector are quite volatile historically, and while there has not been a change as large as the 32.6% since 2009/10 (at the time of the economic downturn and recovery) there have been a few quarters when it was in the 20s.

But what appears especially odd, but also possibly interesting to those trying to understand how the GDP accounts are estimated, is why there should have been such a tremendously high growth in the sector, of 32.6%, when the workers at General Motors were on strike for half of September (starting on September 15).  GM is the largest car manufacturer in the US, its production plummeted during the strike, yet the GDP figures indicate that motor vehicle output not only soared in the quarter, but by itself raised overall GDP growth to 1.9% from a 1.2% rate had the sector been flat.

This is now speculation on my part, but I suspect the reason stems from the warning the BEA regularly provides that the initial GDP estimates that are issued just one month after the end of the quarter being covered, really are preliminary and partial.  The BEA receives data on the economy from numerous sources, and a substantial share of that data is incomplete just one month following the end of a quarter.  For motor vehicle production, I would not be surprised if the BEA might only be receiving data for two months (July and August in this case), in time for this initial estimate.  They would then estimate the third month based on past patterns and seasonality.

But because of the strike, past patterns will be misleading.  Production at GM may have been ramped up in July and August in anticipation of the strike, and a mechanical extrapolation of this into September, while normally fine, might have been especially misleading this time.

I stress that this is speculation on my part.  Revised estimates of GDP growth in the third quarter, based on more complete data, will be issued in late November and then again, with even more data, in late December.  We will see what these estimates say.  I would not be surprised if the growth figure for GDP is revised substantially downwards.

B.  Growth in Nonresidential Private Fixed Investment

The figures released by the BEA today also include its estimates for private fixed investment.  The nonresidential portion of this is basically business investment, and it is interesting to track what it has been doing over the last few years.  The argument made for the Trump/Republican tax cuts pushed through Congress in December 2017 were that they would spur business investment.  Corporate profit taxes were basically cut in half.

But the figures show no spur in business investment following their taxes being slashed.  Nonresidential private fixed investment was growing at a relatively high rate already in the fourth quarter of 2017 (similar to rates seen between mid-2013 and mid-2014, and there even was growth of 11.2% in the second quarter of 2014).  This continued through the first half of 2018.  But growth since has fallen steadily, and is now even negative, with a decline of 3.0% in the third quarter of 2019:

There is no indication here that slashing corporate profit taxes (and other business taxes) led to greater business investment.