# meisser/course2018

Switch branches/tags
Nothing to show
Fetching contributors…
Cannot retrieve contributors at this time
36 lines (18 sloc) 3.67 KB

# Exercise 3 - Money

This week's exercise is about the role of money and money supply. In contrast to previous exercises, each team will be experimenting on its own. There is no competition this week.

The relevant configuration of this exercise is named MoneyConfiguration and is based on the configuration of the previous exercise. This time, you can take the agents as given, and take the role of a central bank instead. You can add HelicopterMoneyEvents and the InterestEvents to the configuration to run some monetary experiments. The helicopter event gives a lump sum of freshly printed money to one specific agent. The interest event pays some interest to every agent in the simulation. The interest is also paid from freshly printed money.

To solve this exercise, I recommend to run the SimulationServer class locally, so that you can download relevant statistics through the web interface as shown in the lecture. Avoid using too extreme values as you play with this configuration. For example, the simulation could become unstable or even crash when printing extreme amounts of money. You can also run the simulation by executing the MoneyConfiguration class, but you won't get the same statistics that way.

We have seen the Fisher equation in the lecture:

\$MV = PT\$

It says that money supply multiplied with its velocity should equal prices multiplied with transaction volume, whereas the latter two can be vectors if there are multiple goods. Dividends are ignored. For example, if there are 10 man-hours traded at 5 and 20 potatoes at 3, with the monetary supply being \$M=220\$, the resulting velocity \$V\$ is:

\$V = (10 * 5 + 20 * 3) / 220 = 0.5\$

This says that the average dollar is kept for two days before it is spent. Note that the velocity of money cannot be directly measured. Instead, it is calculated by measuring the other parameters first. Do so using the "monetary" statistics available in the web interface.

The farmer and the farm from exercise 3 both have a constant CAPITAL_BUFFER, that specifies how much income and capital they should put aside as a buffer to smoothen random fluctuations. How are the four variables in the Fisher equation affected when adjusting the size of the farmer's buffer?