Monday , December 23 2024
Home / Real-World Economics Review / Polling and nonergodic stochastic processes

Polling and nonergodic stochastic processes

Summary:
The latest polls showing Clinton would win the presidential election is more evidence to support my argument that trying to predict human behavior  — whether it involves economic decision making or politics decision making — involves dealing with a nonergodic stochastic process. Pollsters believe that if you take a RANDOM SAMPLE OF THE VOTING POPULATION ON DAY X  BEFORE THE ELECTION  and calculate the probability distribution of voting for the various candidates, then this x day before election probability distribution is equivalent to the probability distribution you will get  from any sample drawn from the same population universe on election day.  This presumption would be correct if the stochastic process generating voters preferences is ergodic. But as I have argued regarding economic decisions — drawing a sample on day x provides no reliable probability distribution of what economic decision makers will do on day x + y.

Topics:
paul davidson considers the following as important:

This could be interesting, too:

Merijn T. Knibbe writes Christmas thoughts about counting the dead in zones of armed conflict.

Lars Pålsson Syll writes Mainstream distribution myths

Dean Baker writes Health insurance killing: Economics does have something to say

Lars Pålsson Syll writes Debunking mathematical economics

The latest polls showing Clinton would win the presidential election is more evidence to support my argument that trying to predict human behavior  — whether it involves economic decision making or politics decision making — involves dealing with a nonergodic stochastic process.

Pollsters believe that if you take a RANDOM SAMPLE OF THE VOTING POPULATION ON DAY X  BEFORE THE ELECTION  and calculate the probability distribution of voting for the various candidates, then this x day before election probability distribution is equivalent to the probability distribution you will get  from any sample drawn from the same population universe on election day.  This presumption would be correct if the stochastic process generating voters preferences is ergodic.

But as I have argued regarding economic decisions — drawing a sample on day x provides no reliable probability distribution of what economic decision makers will do on day x + y.

When will I convince professional economists and political scientists, that the future is uncertain regarding their discipline???

Leave a Reply

Your email address will not be published. Required fields are marked *