NGDP

A few days ago, Scott Sumner blogged about the “new normal” of NGDP trend (3% a year) (here and here). Overall, I tend to agree with him that the aggregate nominal expenditures are now at a new and historically low trend growth rate. I think that he is way too optimistic!

As readers of this blog are aware, I am not convinced that NGDP is the proper proxy for nominal expenditures. I believe that Nominal Gross Output (NGO) is a better proxy as it captures more goods and services traded at the intermediate level (see blog posts here, here and here). The core of my argument is that NGO will capture many “time to build” problems that will not appear in GDP as well as capture intangible investments which are now classified otherwise (see literature on intangible investment as capital goods here). Thus, my claim that NGO captures more expenditures (especially between businesses). (Note: I am in the process with some colleagues of finalizing a paper on the superior case for NGO – more on this later.)

Are we at a new normal point where growth in nominal expenditures is slower than in the past? Yes! But according to Sumner and others, this is 3%. If we use NGO we are much lower! Again, using the FRED dataset, here is the evolution of NGO and NGDP since January 2005 (the start date of the NGO series in a quarterly form). The graph shows something odd starting in mid-2014 : NGO is growing much more slowly.

NGDPNGOaug2016geloso

To see this better, let’s plot the evolution of NGO as a percentage of NGDP in the graph below. If the ratio remains stable, then the trend is similar for both. As one can see, the recession saw a much more pronounced fall of NGO than NGDP with a failure to return to the initial levels. And since 2014, the ratio has started to fall again (indicating slower growth of NGO than NGDP).

NGDPoverNGOgeloso2016aug

So what is happening? Why is there such a difference? I am not one hundred percent sure about the causes of this difference. However, I am willing to contend that NGO is fitting better than NGDP with other indicators indicating a tepid recovery. If we look at the labor force participation rate in the US, it continues to fall in a nearly mechanical manner. Fewer and fewer workers are at work (or looking for work) in comparison to the population that could be working while investments are disappointing.

CivilianLaborForceParticipation

Maybe Scott Sumner is being overly optimistic. The new trend might simply be substantially lower than he believes.*

*Readers should note that I believe that monetary policy is, at present, too restrictive. However, I believe the culprit is not the Federal Reserve but financial regulations that restrict the circulation of “private money” (the other components of broad money found in divisia indices – see my blog post here).

I did not think that my post on NGO versus NGDP would gather attention, but it did (so, I am happy). Nick Rowe of Carleton University and the (always relevant) blog Worthwhile Canadian Initiative responded to my post with the following post (I was very happy to see a comment by Matt Rognlie in there).

Like Mr. Rowe, I prefer to speak about trade cycles as well. I do not know how the shift from “transactions” to “output” occurred, but I do know that as semantic as some may see it, it is crucial. While a transaction is about selling a unit of output, the way we measure output does not mean that we focus on all transactions. I became aware of this when reading Leland Yeager (just after reading about the adventures on Lucas’ Islands). However, Nick (if I may use first names) expresses this a thousand times better than I did in my initial post. When there is a shift of the demand for money, this will affect all transactions, not only those on final goods. Thus, my first point: gross domestic product is not necessarily the best for monetary transaction.

In fact, as an economist who decided to spend his life doing economic history, I do not like gross domestic product for measuring living standards as well (I’ll do a post on this when I get my ideas on secular stagnation better organized). Its just the “least terrible tool”. However, is it the “least terrible” for monetary policy guidance?

My answer is “no” and thus my proposition to shift to gross output or a measure of “total spending”. Now, for the purposes of discussion, let’s see what the “ideal” statistic for “total spending” would be. To illustrate this, let’s take the case of a change in the supply of money (I would prefer using a case with the demand for money, but for blogging purposes, its easier to go with supply)

Now unless there is a helicopter drop*, changes in the money supply generate changes in relative prices and thus the pattern (and level) of production changes too. Where this occurs depends on the entry point of the increased stock of money. The entry point could be in sectors producing intermediary goods or it could closer to the final point of sale. The closer it is to the point of sale, the better NGDP becomes as a measure of total spending. The further it is, the more NGDP wavers in its efficiency at any given time. This is because, in the long-run, NGDP should follow the same trend at any measure of total spending but it would not do so in the very short-run. If monetary policy (or sometimes regulatory changes affecting bank behavior “cough Dodd-Frank cough”) causes an increase in the production of intermediary goods, the movements the perfect measure of total spending would be temporarily divorced from the movements of NGDP. As a result, we need something that captures all transaction. And in a way, we do have such a statistic: input-output tables. Developed by the vastly underrated (and still misunderstood in my opinion) Wassily Leontief, input-output tables are the basis of any measurement of national income you will see out there. Basically, they are matrixes of all “trades” (inputs and outputs) between industries. What this means is that input-output tables are tables of all transactions. That would be the ideal measure of total spending. Sadly, these tables are not produced regularly (in Canada, I believe there are produced every five years). Their utility would be amazing: not only would we capture all spending (which is the goal of a NGDP target), but we could capture the transmission mechanism of monetary policy and see how certain monetary decisions could be affecting relative prices.** If input-output tables could be produced on a quarterly-basis, it would be the amazing (but mind-bogglingly complex for statistical agencies).

The closest thing, at present, to this ideal measure is gross output. It is the only quarterly statistic of gross output (one way to calculate total spending) that exists out there. The closest things are annual datasets. Yet, even gross output is incomplete as a measure of total spending. It does not include wholesale distributors (well, only a part of their activities through value-added). This post from the Cobden Centre in England details an example of this. Mark Skousen in the Journal of Private Enterprise published a piece detailing other statistics that could serve as proxies for “total spending”. One of those is Gross Domestic Expenditures and it is the closest thing to the ideal we would get. Basically, he adds wholesale and retail sales together. He also looks at business receipts from the IRS to see if it conforms (the intuition being that all sales should imitate receipts claimed by businesses). His measure of domestic expenditure is somewhat incomplete for my eyes and further research would be needed. But there is something to be said for Skousen’s point: total nominal spending did drop massively during the recession (see the fall of wholesale, gross output and retail) while NGDP barely moved while, before the recession, total nominal spending did increase much faster than NGDP.

NGONGDP1

In all cases, I think that it is fair to divide my claim into three parts: a) business cycles are about the deviation from trends in total volume of trades/transactions, thus the core variable of interest is nominal expenditures b) NGDP is not a measure of total nominal spending whose targeting the market monetarist crowd aims to follow; c) since we care about total nominal spending, what we should have is an IO table … every month and d) the imperfect statistics for total spending show that the case made that central banks fueled spending above trend and then failed to compensate in 2008-2009 seems plausible.

Overall, I think that the case for A, B and C are strong, but D is weak…