Showing posts with label Networks. Show all posts
Showing posts with label Networks. Show all posts

Monday, July 30, 2012

Network Models Can Restore Emergence in Economics

Currently active on my kindle is Positive Linking: How Networks Can Revolutionise the World
by Paul Ormerod. For a brief background of how I came upon this subject, my most recent interest in economics began a couple years back when I began reading classic works of Hayek and Keynes, among others. Probably surprising to many, I found the work of both these giants in the field to offer timeless insights about the macroeconomy that had seemingly been lost leading up to the financial crisis. More specifically, I was curious about the broader ideas of uncertainty and emergence that each touches on, though in different manners. Allowing my reading selections to follow a random path, I stumbled upon books in theoretical and particle physics discussing those intriguing subjects in the context of chaos theory and network effects. Ormerod’s book, among other things, is trying to encourage mainstream economics to re-incorporate these lost ideals from the past with new lessons from physics and other social sciences.

Aside from Ormerod, there are numerous others simultaneously working to construct new models of the economy that include these areas of research. One of those is Steve Bannister, at Naked Keynesianism, who offers this conclusion to a critique of the Lucas critique:

I propose two things to restore the dominating importance of emergent macro properties on economic behavior. One is a recommitment to econometric modelling. Ever increasing data and increasingly better tools will continually improve modelling and forecasting results.
The other is a methodology that is vastly underused in economics, but widely used in various other sciences: network system analysis based on the mathematical theory of graphs. These methods lets us directly measure and model emergent dynamic behaviors from groups, like the individuals in an economy. No added up methodological individualism required; no agent-based model needed. Observe, model, and predict directly at the macro level.
While I believe empirical models, properly done, are fundamental to understanding and policy, network models provide us with a dynamic theory, emergent macro behaviors, that  support our correct Keynesian beliefs that it is the macro foundations of micro behavior that matter, not the other Lucasian way around.  

Saturday, March 24, 2012

Points of Public Interest

Ugly day in DC after a beautiful week, but more good NCAA basketball on TV. Good luck to those whose brackets still have a chance of winning!

  1. “The Current Models Have Nothing to Say”
Should we be surprised? Policy makers continue to employ models of an economy with no financial system.
  1. Economics without a blind-spot on debt
The aggregate level of debt, especially private, matters in
forecasting economic growth.
  1. Consumer Credit Growing at Highest Rate in Past Decade: Unhealthy and Unsustainable?
Stopping addictive habits is not easy, but extending those actions will only make the eventual adjustment more difficult and painful.
  1. The Japan debt disaster and China’s (non)rebalancing
Chinese consumers continue to increase savings in lieu of domestic consumption. Japan is attempting to rebuild its trade surplus, but which countries will allow their surplus to decline or deficit to increase? Global (and domestic) imbalances not addressed remain significant risks to the global economic outlook.
  1. A step in the right direction
Scientific exploration incorporating complex systems and networks continues to move our understanding of reality forward.
  1. It's not structural unemployment, it's the corporate saving glut
Businesses save instead of investing in labor when consumer demand is weak. Until policy focuses on improving the consumer balance sheet (e.g. debt write-downs), unemployment will remain high.
  1. Wrong vs Early – Contrarians Bet on Natural Gas
The best investors are often early and patient.
  1. The Real Problem with Microfoundations
Microeconomics is not especially sound in predicting all outcomes
either.
  1. Principal writedowns of the day, mortgage edition
Positive for households but will Bank of America (and others) really accept the associated losses?
  1. Why Using P/E Ratios Can Be Misleading
In early 2009, at the market bottom, the P/E jumped to over 100 as profits plummeted. Using E/P corrects for this issue and shows the market is slightly overvalued currently.