So I’ve been thinking. The more complex an economic system becomes, the more we have to deal with the numerical information that exists within its framework.
So for example, in the global community, the increasing integration of companies (notable trans-national companies/firms) results in a larger volume of data for each specific company. Dealing with and interpreting this data requires a greater level of mathematical skill. In my (extremely basic and meritless) argument, the analysts playing field has become increasingly mathematized.
So who will be able to deal with this complex information? Well, those with the necessary mathematical skills.
But is this a realistic trend in the economy as a whole? Note that the above is not the sole reasoning for the argument. There are possibly a whole lot of other factors to consider other than corporate finance. For example; real estate, the stock market, local businesses, marketing etc.
Does the STUDY of these areas (NOT financial SUCCESS in these areas - which involves other things) become more mathematized as complexity increases?
As a cheap reference, are recent economic Nobel Lauretes more likely to have a mathematical background than before? Or has this always been the case?
I do not have a strong postion one way or the other on the matter. I merely write the above as material for debate.
Also, I realize that some may have a problem with saying that the complexity of an economy increases with respect to time, with definitions bearing on the matter.