A book I have just preordered

Via Economist’s View comes this excellent post by Economic Principals.

That the world economy received a “shock” when US government policy reversed itself in September 2008 and permitted Lehman Brothers to fail: what kind of an explanation is that?  Meanwhile, the shadow banking industry, a vast collection of financial intermediaries that included money market funds, investment banks, insurance companies and hedge funds, had grown to cycle and recycle (at some sort of rate of interest) the enormous sums of money that accrued as the world globalized. Finally, there was uncertainty, doubt, fear, and then panic. These institutions began running on each other.  No depositors standing on sidewalks – only traders staring dumbfounded at comport screens.

Only a theory beats another theory, of course. And the theory of financial crises has a long, long way to go before it is expressed in carefully-reasoned models and mapped into the rest of what we think we know about the behavior of the world economy.

This is all in preparation for a new book coming out – misunderstanding financial crises – which I have now preordered.

There appears to be a vein of distaste for DSGE models in this post, and this is the one bit I don’t agree with.  Economic methodology isn’t about having a “single model” – we try to be as reductionist as we can, but we have to instead rely on a suite of models that provide a narrative of different causal mechanisms that exist when people interact.  DSGE models are incredibly valuable, but they were never made to explain shocks – or to illustrate what happens when the shock is sufficiently large that we may not return to our previous equilibrium.

I’m also a bit confused about why the author appears to be hinting that modern economists don’t think that way – I clearly remember being taught about stability, multiple pareto ranked equilibrium, and the issue of bank runs.  I also remember being taught all this as part of “New Keynesian economics” and being told that DSGE models were in themselves only a subsection of the models we should look at when trying to understand what is going on around us.  And this was in 2005.

A more nuanced discussion of all this can be found here and here.  I am, as often, in agreement with Simon Wren-Lewis in this.  I fully agree with this statement:

However what seems to me critical in avoiding future crises is to understand why leverage increased (and was allowed to increase) in the first place, rather than the specifics of how it unravelled. As I suggested here, we may find more revealing answers by thinking about the political economy of how banks influenced regulations and regulators, rather than by thinking about the dynamics of networks.

While also accepting that the analysis of complex networks with multiple equilibrium is useful.  Why are economists so determined to create simple models rather than just making a full complex system that can be calibrated t fit data?  Easy – because these complex systems don’t tell us anything about causal mechanisms, and we need to understand causal mechanisms in order to determine what policies “make sense”.  It is a co-operative venture between multiple forms of modelling, not a competitive venture IMO.

Anyway, I’m looking forward to the book – and I’m currently reading the prequel, slapped by the invisible hand 😉

Another inquiry?

The opposition parties are calling for an inquiry about what is going on in the country.  This is alright – but I’m not sure we actually need another inquiry per se (I spelt it right this time!).

We’ve long recognised that NZ has a high real exchange rate/high real interest rates (most recent related posts involved *,*).  A factor that is due to real economy savings/investment decisions – not monetary policy.

So the country has already had the savings working group, the tax working group, and now there is a working group on the sustainability of government finances (report due towards the end of the year I think).

Do we really need another inquiry, or do we just need to actually face the trade-offs involved with any policies fully?

Matt is in Columbia

As a result, I won’t be around to answer comments over the next few weeks.  If you really want to say something and get a response flick me an email – although I will only see that very occasionally.

However, I’m just pointing this out as an explanation for why I won’t be replying to comments – I still love you, I just can’t see the comments and so can’t reply 🙂

An excellent primer on NGDP targeting

Via Scott Sumner comes the following primer on NGDP targeting.

Its a cool little explanation of the benefits, and the functioning of monetary policy – specifically through expectations.  I also appreciated that Hayek was mentioned – Hayek was a fan of the nominal income rule, a fact many people don’t realise given belief that NGDP targeting is “left wing” and Hayek is “right wing”.  Economists are never as simple as we like them to be 😀

As I’ve said before I don’t agree with NGDP targeting for NZ at the moment.  I see NGDP targeting vs flexible inflation targeting as akin to the level vs growth targeting – and I’m still on the side of rate of change targeting.  However, it is an area where I could easily be turned around … and if NZ was to introduce NGDP targeting I wouldn’t suddenly get all wound up and talking about it being the end of the world, I would assume that we were following the policy rule because our view of what target best represents “good policy” has changed.

For those wondering, if you target a “level” then previous “policy failure” counts – in a NGDP targeting framework, changes in the terms of trade (for example) will be picked up as policy failure in a way that would elicit a response when they “shouldn’t”.  This is why I prefer inflation targeting based on a clear version of inflation like the dynamic factor model the RBNZ has.  However, even in this case we may decide that nominal income growth is a better target than price growth – that is an issue I’d like to spend more time thinking about.

A big thing for me is that we stick to a time consistent rule, instead of falling into the trap of thinking we can hide taxation through central bank actions 😉

 

Invalid opinions

IF you follow the econ blogs in New Zealand you’ll have seen Matt and others getting pretty grumpy about the uninformed comments sometimes made in the media. That has only been exacerbated by the recent misunderstanding of quantitative easing. A philosopher writing in the Herald sums up how I think economists feel:

If “everyone’s entitled to their opinion” just means no one has the right to stop people thinking and saying whatever they want, then the statement is true, but fairly trivial. …But if “entitled to an opinion” means “entitled to have your views treated as serious candidates for the truth” then it’s pretty clearly false… [because it] implies an equal right to be heard on a matter in which only one of the two parties has the relevant expertise.

Economists are technical experts but work in a field that affects everybody’s daily lives. So, much like doctors, they have to cope with everybody thinking they’re an expert without a shred of real knowledge. And, just like in public health debates, credence is given to groups who have an opinion but no expertise. Understandably, economists get frustrated!

However, we need to be careful where we draw the line between those with expertise and those without it. Read more

Data is data is data

I was impressed to see Geoff Bascand, the head of Statistics New Zealand, come out in defence of the labour market data – specifically the way unemployment and underemployment are calculated.

It is true that the labour market data jumps around, and that what it defines might not be exactly what everyone trying to use it “wants” – but Statistics New Zealand is transparent about what they are recording and the shortcomings, and then a lot of this data is available free for us to help us make informed decisions.  How is that not awesome?

Lets be honest, we can’t accurately measure the exact thing we want in the social sciences – we are always working with incomplete data measuring something that is only related to the variable we are positing theories about.  Instead of complaining about it we just need to recognise that we need to use clear and consistent theory and logic to help us accurately use the data that is available.

Instead of complaining about the data – as many people who write on blog and in comment sections do – lets try to understand what is being measured, how that relates to what we are trying to discuss, and then use that to have a useful and open discussion about it.  Just because the data doesn’t fit your preconceptions doesn’t make the data wrong – either your interpretation of the data is wrong, or your theory has issues 😉