example, if a buyer holding $10 spent a lot of time on making the final decision, he might
find there was no seller with a value of $2 for him. Unfortunately, he had to trade with a
seller with a value of $8, or no suitable trade until the bell rings.
4. The theory the experiment was designed to test
A general equilibrium theory was tested in this experiment. The equilibrium lay where the
quantity for demand was equal to the quantity for supply. This equilibrium was often found
in a perfect competitive market, where sellers and buyers were assumed to be rational.
Only in the equilibrium, the market ran efficiently, and the total surplus of buyers and
sellers could get to its largest.
However, non-rational behaviors could appear in the pit market, since someone made some
clownage intentionally. Their purpose was not to gain as much profits as possible but to
mass the market and to confuse others’ decisions. They might not behave in a manner of
equilibrium predictions, therefore, the results sometimes came out with unexpectation.
5. Summary of the results
Actually, when we drew a graph of supply curve and demand curve, we easily got an
equilibrium interval of quantity, which was 4 to 8. In this equilibrium, only half of the
sellers and buyers could get involved in a trade. We compared the total surplus in two
models.
In the first model, it was in equilibrium. We assumed the price was $6, and only 6 sellers
and 6 buyers had trade:
Total surplus=[($10-$6)+($6-$2)]*6=$48
In the second model, it was in disequilibrium. We assumed the price was $3 and $9, and
all the sellers and buyers could have trade:
Total surplus=[($10-$9)+($9-$8)]*6+[($4-$3)+($3-$2)]*6=24
Obviously, the first total surplus was larger than the second one, making the first market
more efficient. By the way, the first result was more likely to be found in the real market.
When having a quick look at the consequence, we could easily find that disequilibrium
happened occasionally. In round 1, there were four outcomes of disequilibrium out of
seven trades. As the round goes, disequilibrium decreased. The best reason, I suppose, to
explain the disequilibrium was the human’s unexpected behaviors. In the game, some