Quakes aren’t good for the economy

Hey, I’m currently running so busy that I dont’ even have time to look at the other blogs – so I’m sure this has been covered somewhere else.  However, I felt I have to say something.

When Stephen Toplis and Cameron Bagrie say that GDP growth will accelerate due to the earthquake they ARE NOT saying that it is good for the economy.  That headline is completely inappropriate.

Effectively, a bunch of our capital stock was destroyed.  Because of this, the “marginal product” of capital is probably a little higher, and so the “flow” of capital (investment) will temporarily pick up – driving up GDP growth.  We’ve still lost a bunch of wealth.  We are simply having to “work” (which is costly) to try to regain some of it.  In no way does this mean that it is good for the economy – and that is not what these two economists were getting at.

I suspect the author of the article and/or the editor got confused between the flow concept, which is investment and GDP, and the stock concept, which is capital and underlying wealth.  We have lost capital, and we have lost wealth – this negative shock is not just sucky for the people who had to face a disaster, but it IS a “negative for the economy” in terms of measured wealth.

I mean flip, if destroying a city is “good for the economy” why don’t we send the tanks into Wellington to blow it up right now?  Actually, I’m in Wellington – lets make that Auckland instead 😉

I imagine that neither of these economists is particularly pleased that they are being sold as “merchants of doom” in this sense …

A fishy conclusion from a Fisher relation

Interesting.  Both a Fed economist and Stephen Williamson (the author of one of my undergrad macro books) have been saying that persistently low interest rates “cause” deflation in the long run (ht Economist’s view) [Lots of others, WCI *, Money blog, Angry Bear, Paul Krugman, Money Illusion].  This seems a little counter-intuitive, but this doesn’t mean anything is wrong – I’m going to write down a few of my thoughts to see if I can figure out what is going on.

I mean, I agree that the Fisher equation must hold, and I agree that the long-run real interest rate will be exogenous.  But this ain’t enough to tell me that having the Fed keep rates at 0.25% forever “causes” deflation.

Why?  The average Fed rate and inflation expectations are both endogenously determined – they seem to be treating the Fed’s choice as exogenous, when they follow a decision rule. Yes it is true that the cash rate at a point in time is a choice variable – but the average cash rate in the long-run should effectively be determined by the real interest rate and long-run inflation target. [Update Think of it this way, I’m really assuming the central bank follows a Taylor rule and that determines the nominal rate given the inflation target.  The big kicker for any argument like this will be the way inflation expectations are formed].

As a result, we could just as easily interpret rates staying at 0.25% forever as an indicator that inflation expectations are -1.75% -> in other words we observe a low nominal interest rate BECAUSE there is deflation.  Fundamentally, this tells us nothing – as the Fisher relationship is an equilibrium statement, not a casual relationship.

In fact, if there is indeed a forecast of rates staying at 0.25% forever there is a STRONG argument for making policy more stimulatory now – is that what the guy is trying to say?

If we want to discuss a causal relationship we need a causal model of our endogenous variables right – the Fisher equation is not this.

Update: I see where they are coming from now.  However, I believe the key issue is with regards to current policy – fundamentally the mentioning of deflation was taken in context of the CURRENT disinflation going on in the USA, and it seemed like a statement that was pushing for an increase in rates to avoid deflation.

I’m also nervous about the use of the word “cause” when any observed relationship in the data will not necessarily be clear – but I’m always nervous about causation so oww well.  Namely, if I see an average cash rate of 0.25% and average -1.75% inflation I wouldn’t say “aha, having the cash rate at that level caused that” – I would want more information on how inflation expectations got there in the first place …

The New Keynesian Framework and employment persistence

Over at Econlog, Arnold Kling stated that “persistence” in employment implied that the New Keynesian story was off (ht Marginal Revolution)

This sounded a bit funny to me – New Keynesianism is a framework for models, one where I had seen the persistence in unemployment, and employment (which is a well known stylized fact) before.  So I went to google:

Awesome google search.

And it immediately came up with a working paper from two of the big boys – Blanchard and Gali.  Conclusion being:

The extent of real wage rigidities determines the amplitude of unemployment fuctuations under the optimal policy. Furthermore, unemployment displays intrinsic persistence, i.e. persistence beyond that inherited from productivity. The degree of persistence is decreasing in the job finding rate. Hence, the more sclerotic is the labor market the more persistence is unemployment.

In the paper there is discussion of models with hiring costs, labour market frictions, rigidities in the real wage, and in nominal prices.  They don’t discuss some other things I’ve seen from New Keynesians, such as employment/investment/production decisions made off the back of a lagged state variable, but those sorts of concepts are rolling around as well.

In essence, the New Keynesian framework is grappling with a large number of issues, and trying to analyse them in a consistent way.  I just find it a little strange that we would say “and so the New Keynesian story is wrong” just because some of the current models can’t pick some things – it is like saying “microeconomics is wrong, because it doesn’t perfectly describe all human behaviour”.  Yes, it is a discipline that needs investment and time – but as a framework for putting models inside, it is pretty useful right.

I’m not saying things are perfect now, but I am saying that all the hating on the New Keynesian framework seems a touch out of place – given that all it is doing is providing a transparent and internally consistent method where people can build their own model of the economy by introducing what they believe are realistic “core” assumptions.

Housing and “production”

So, a while back a post on housing and production got criticised, but I didn’t notice.  I shall respond now, as I need something to post on. (I would also note that there are 1 million brilliant comments in the initial post – good stuff guys.)

In a strict sense building a house doesn’t increase measured productivity – however, when making my statement that was never my claim.  My claim was that housing was productive – my intent was to show that a house could be seen as investment as it creates a stream of value.

Now, I was obviously far too unclear, and I’ll admit that for sure – so slap me down and take a point off me.

However, I was so loose with my terminology because I’m lazy … but also because I see the “focus on productivity” as inherently silly.  We don’t value the “productivity”, we don’t go around doing things with “productivity” per see – I would love higher productivity, as it means I get more stuff for the same inputs.  But I would love it because I get more stuff, not because I get more productivity statistic.

And this is the essential issue that is missed when looking at housing.

Read more

A note on GDP

Anti-Dismal points out the fact that Colin James seems to have run into a little confusion around the GDP statistics.  Now, I can understand this confusion AND I agree that we need to think more sensibly about what income is before we run around making comparisons.  In this sense, all I want to point out is how the confusion came about.

Now it is true, Australia releases production, expenditure, and income measures of GDP.  However, I would note that they set the chain volume measure of these indicators equal with a “statistical discrepancy” figure.

In New Zealand, our statistics department releases production and expenditure GDP, but does not force them to be equal.  They state that they believe the production figure is more reliable overall – and that is why people discuss this figure.

Of course, GDP misses many “non-market” forms of value-added, it is a measure of “production” so misses the fact that a higher terms of trade increases NZ’s implicit income, furtermore it misses “international transfers” which are highly negative for an indebted nation like NZ.

Furthermore, we have to ask why we are looking at the figures.  Is our concern that someone in the same role gets more $$$ in Aussie and so has the incentive to move over there?  If that is the case, why not just compare the PPP adjusted wages for those professions?  Simply looking at GDP misses the fact that our two economies produce different things, and hire different types of labour.

I am not a fan of cross-country comparisons at this type of aggregate level, and I think we should be thinking carefully a little more carefully about what our concerns are regarding the NZ economy directly – rather than focusing on the arbitrary target of our relative living standards compared to other nations.  I realise these relative standards might give us some information on “what we could do” – but unless we are careful when looking at the NZ economy they will lead us towards policy mistakes.

How many economists see government

I have seen economists termed “growth fatalists” for the fact that we don’t believe that there is much government can do to change underlying economic fortunes.  Greg Mankiw posted a quote that summed up the position well:

Politicians are in charge of the modern economy in much the same way as a sailor is in charge of a small boat in a storm. The consequences of their losing control completely may be catastrophic (as civil war and hyperinflation in parts of the former Soviet empire have recently reminded us), but even while they keep afloat, their influence over the course of events is tiny in comparison with that of the storm around them. We who are their passengers may focus our hopes and fears upon them, and express profound gratitude toward them if we reach harbor safely, but that is chiefly because it seems pointless to thank the storm.

If I’m honest, I think that the belief that government can create growth magically stems from the fact that people want to feel like they have control of things – economic growth is something that impacts upon our daily lives that we have no control over, but if we can tell ourselves we have control it is easier to live our lives.

In the same way our forefathers would worship the sun, or a “god of the harvest” our modern society worships government policies that “will provide economic growth”.

Discuss 😉