About this website

If you felt confused after reading a book of economic theory, then this website might be for you. I got interested and fascinated by Economics during my PhD studies, for very practical reasons given an incumbent financial crisis. I learned the basics of economics, but when I went deeper into the theory I was flabbergasted by an unexpected flow of confusing statements, formulas, and cause-effect relationships that did not seem to have any solid basis.

This led me into a long journey into economics studies, where question marks were placed on any statement and formula on which I came over. This blog was born over years of reading and digging into economic theories, observing real world facts, and reaching a deeper understanding of the roots of scientific research.

This website conveys ideas and lines of thought that came from my delving into economic theories. I have organized the theory articles following a roughly logical sequence: you are advised (but not obliged) to read them in order. I make use of scientific notation rather than the typical notation found in economics. So, 3 billion dollars is 3G$.

I started writing down notes and ideas a few years ago, and the website format permits to produce articles as I go along developing a view of economic theory. Most of what is published was developed and organised long ago, however new developments might lead to a rethink of concepts already exposed. My publishing delay helps minimizing this; however if it does occur, I might amend published articles and put a note on the amended articles.

Comment articles are more general articles that comment on financial news, events, or economic publications.

About me

I have a background in theoretical Physics, and I worked in interdisciplinary applications touching a range of domains in science. I am specialized in computer simulations, with emphasis on complex and large simulation models. I have an extensive knowledge that spans various domains in mathematics, mathematical statistics, physics, and of course computational methods. You can find more about me here: https://www.andreaparisi.net

Feel free to contact me around any of the points I make or if you think something is incorrect: I am happy to learn.