One of the issues I am contemplating (and have mentioned in one of the video posts) is the future of macroeconomics. If you think about the history of macroeconomics we have had two major revolutionary changes: the Keynesian Revolution of the 1930s and the Rational Expectations Revolution of the 1980-90s leading to the dynamic general equilibrium macro models.
Each of these revolutions came about because the then current macro models of the day could not explain what was happening to the actual economy. In Keynes’ day it was the failure of Classicalists to explain the prolonged economic downturn of the Great Depression. In the Rational Expectations Revolution it was the stagflation of the 1970s. Each revolution offered a new way of examining the macroeconomy and in doing so, could explain the past as well as the present.
Slightly oversimplifying things: Keynes said the Classicalists were wrong because prices were sticky and planned investment might be different from actual spending and dynamic general equilibrium models (the modern incarnation of the rational expectations revolution) argued the Keynesians were wrong because they ignored microeconomics.
In dynamic general equilibrium (from now on DGE) macroeconomic models, market participants learn from their mistakes and thus input markets are in equilibrium. This is why asset pricing is now a part of macroeconomic models. The advantage of DGE models is that we can have the interaction of various parts of the macroeconomy all impacting each other: households are maximizing their intertemporal utility function subject to time and budget constraints, firms are maximizing their profit function subject to technology and resource constraints, etc. The models break away from the Keynesian ad hoc assumptions about consumption and investment and are more closely aligned with how microeconomists view behavior.
Or…at least how microeconomists USED to view behavior. Over the last 20 years or so the field of behavioral economics (and the closely related field of behavioral finance) has changed in the way many microeconomists think about market behavior. Again oversimplifying things a bit, the behavioralists have raised questions about the assumption of perfectly rational economic agents.
Now…behavioral economics is not accepted by everyone…yet. But…what if they are on to something? Maybe if macroeconomists truly want to build models with “sound microeconomic foundations” the models should have irrationality play a bigger role.
Of course one of the major stumbling blocks is that it is rather difficult to mathematically show irrational behavior. That is why macroeconomists have generally ignored it (among other reasons). But…is that a good enough justification anymore? What if this irrational behavior is The underlying driving force behind many of our modern economic problems? Can we continue to just ignore it?
The past as a key to the future
One of the great intellectual underpinnings of the GDEs is they were based on very old idea: Ricardian equivalence, for example. Maybe macroeconomists need to again return to the past: back to the days when economists used other disciplines for insight into how the overall economy functioned. Remember the “first” macroeconomists (those before Keynes) studied “political economy.” Maybe we need to look at how psychology, sociology, history and political science can help us better understand how the macroeconomy works. Maybe economists have become too enslaved by our desire to formally represent relationships that we have missed key components of those relationships.
So maybe it is time for a third macroeconomic revolution; one where we realize that not all important macroeconomic actions/relationships/behaviors can be shown mathematically. Instead our new generation of macro models will use the insights of various fields to explain business cycles fluctuations and long run economic growth. Only when we break from our enslavement to rigid mathematical modeling will we advance the field of macroeconomics. Perhaps the time for that change is now.
All the best,
M Brandl
Please let me know what you think about my perspective, the video posts, or anything you’d like to see more or less of. Your feedback is greatly appreciated.
Professor Michael Brandl, an economist at the McCombs School of Business at The University of Texas at Austin, discusses current economic issues with his former students and those who might be interested in partaking in the conversation. See his 
3 responses so far
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1 Peyton Jones // May 27, 2009 at 9:14 am
Always enjoy the updates. I know you have to monitor what you say in respect to the UT brand (I sound like Hirst). If it is ever possible to add a statement saying “The following is an editorial and in no way reflects the ideals of UT, blah, blah, blah”….and then write what YOU think will happen, or what YOUR opinion is….that would make for some very good reading. Sandy Leeds does a weekly update and is very opinionated, which to me makes for very good reading. I hold people like yourself and Sandy in high regard, so I look forward to hearing your unfiltered opinions.
2 DJ Dodson // May 28, 2009 at 9:32 am
Dr. Brandl,
“…our new generation of macro models will use the insights of various fields to explain business cycles’ fluctuations …”
Well said! “Genauso!”
We often use an “extra-ordinary” math input somewhere. For example, assigning a beta, drawing a utility function curve to a tangent apex, 21st Century 9th & 10th level actuary exams, etc.
As our models struggle to anticipate the latest unexplained volatility of macro-economics, I suggest perhaps the “strategic ambiguity of embracing chaos” [cf, "dumb like a fox/GM"] as opposed to irrationality.
We notice that volatility seems to be arising anectdotally correlated with people using (and mis-using) logrithmically advancing technology - to refine and filter the likewise astronomical availability of data for personal use/abuse.
While the tides still raise and lower our boats in synch, - these information “storm surges” (cf, The latest influenza pandemic, our risk averse government agencies, our avaricious News business - and the effect on the Mexican economy) - these “data storm surges” suggest the Dr. Brandl “Tertium Organum” macro-economic model will be setting the bar for stochastic forecast optimizers (contrast and compare UT’s John Mote’s & Leon Lasdon’s infinite variable cash flow modeling with “quantum leap technology transfers” from U.S. Meterologic forecasting).
THANKS again. Hook ‘em!
DJ Dodson - MBA-MA UT Austin 1995
3 Vishal // Jun 3, 2009 at 1:45 pm
Hello Dr.Brandl,
I’ve always enjoyed your class as you have great insights into not just economics, but also the political realities of economics. I second Peyton’s suggestion for a un-filtered version of your insights and opinions on economics
Vishal
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