Re: Second Great Depression?
I have a Masters in EE (as well as being a part-time rabbi, long story). I only say that to indicate some expertise in the subject matter.
The problem with Fourier analysis is that it only looks at the behavior of the system under the current set of inputs. To really understand the system, you need to discover the transfer function. Because of the quasi-periodic effects some people have reported, there probably are some feedback paths with delays in the world economic system. Unfortunately, there is no way of knowing whether there are other feedback paths that become more dominant when the system is stimulated by an impulse or step function (like is happening now).
Here's an example for the non-techies. Take an empty plastic water bottle with the lid off. You can press gently in the side and release it, and the bottle returns to its shape. You can set up an experiment where the bottle oscillates - bounces back and forth by being periodically poked - based on the elastic characteristics of the bottle. You can even fill it with various substances and generate graphs of how they affect its resonance ("bouncing") characteristics.
Now push it further until the side of the water bottle deforms inward. That wasn't predicted by the model, and now, the characteristics of the bottle that you measured have been permanently altered. You took the system beyond the limits of the oscillating model you had developed.
Or, picture a thermostat in a house. If you measure the temperature in a house on a cold day, you will get an oscillation up and down as the thermostat reacts with lag to heat loss through the walls. You can measure it for a long time and find cyclic variations, short term and long term (e.g., day night as the sun illuminates different parts of the house). Now add a malfunction to the heating system so that, whenever it goes on, the basement catches fire. You've taken the system past the limits of your model.
Nowadays, physicists and engineers can model things like these - the crushing of the bottle or the fire in the basement - but the model was developed by a meta-understanding of the system and not by watching its behavior over time. That meta-understanding is akin to macroeconomics, although the world economic system is so horrendously complicated that we have far less understanding of its operation than we do of the physics of materials.
People tried an approach called "deterministic econometric models" that were all the rage back in the stone age when I was in college. They attempted to model the feedback cycles in an economy, but these had limited accuracy. They just weren't complicated enough to be of use outside of some very simple markets (I believe there was a famous model for hog futures that didn't do too badly on a small time interval).
Originally posted by *T*
View Post
The problem with Fourier analysis is that it only looks at the behavior of the system under the current set of inputs. To really understand the system, you need to discover the transfer function. Because of the quasi-periodic effects some people have reported, there probably are some feedback paths with delays in the world economic system. Unfortunately, there is no way of knowing whether there are other feedback paths that become more dominant when the system is stimulated by an impulse or step function (like is happening now).
Here's an example for the non-techies. Take an empty plastic water bottle with the lid off. You can press gently in the side and release it, and the bottle returns to its shape. You can set up an experiment where the bottle oscillates - bounces back and forth by being periodically poked - based on the elastic characteristics of the bottle. You can even fill it with various substances and generate graphs of how they affect its resonance ("bouncing") characteristics.
Now push it further until the side of the water bottle deforms inward. That wasn't predicted by the model, and now, the characteristics of the bottle that you measured have been permanently altered. You took the system beyond the limits of the oscillating model you had developed.
Or, picture a thermostat in a house. If you measure the temperature in a house on a cold day, you will get an oscillation up and down as the thermostat reacts with lag to heat loss through the walls. You can measure it for a long time and find cyclic variations, short term and long term (e.g., day night as the sun illuminates different parts of the house). Now add a malfunction to the heating system so that, whenever it goes on, the basement catches fire. You've taken the system past the limits of your model.
Nowadays, physicists and engineers can model things like these - the crushing of the bottle or the fire in the basement - but the model was developed by a meta-understanding of the system and not by watching its behavior over time. That meta-understanding is akin to macroeconomics, although the world economic system is so horrendously complicated that we have far less understanding of its operation than we do of the physics of materials.
People tried an approach called "deterministic econometric models" that were all the rage back in the stone age when I was in college. They attempted to model the feedback cycles in an economy, but these had limited accuracy. They just weren't complicated enough to be of use outside of some very simple markets (I believe there was a famous model for hog futures that didn't do too badly on a small time interval).
Comment