The economic analysis of random events: economic perspectives on probability theory, statistical inference and the nature of chance

Table of content:
General Overview and Structural Organization
Volkan Hacıoğlu
Pages 1-4
The Nature of Randomness and the Element of Chance
Volkan Hacıoğlu
Pages 5-21
Rethinking the Concept of (In)Opportunity Cost and Parable of Broken Window: A Reflection on the Ideas of Frédéric Bastiat
Volkan Hacıoğlu
Pages 23-40
The Effect of Human Action on Random Economic Events: Praxeological Learning and Its Relation to Artificial Intelligence
Volkan Hacıoğlu
Pages 41-70
The Question of Conjecture in Economics and Probability: On the Applicability of Probability Theory to the Randomness of Economic Events
Volkan Hacıoğlu
Pages 71-107
The Anatomy of Accident as a Deviation from Random Walk
Volkan Hacıoğlu
Pages 109-142
Observability and Learnability as Opposed to ‘Seen and Unseen’
Volkan Hacıoğlu
Pages 143-168

[https://link.springer.com/book/10.1007/978-3-031-53078-4]

This book investigates applications of probability theory to random events from an economic standpoint and considers how economics can deal with uncertainty in today’s world. As such the nature of chance and probability will be discussed with examples taken from the theoretical literature in probability and the history of economic thought, as well as real-life events.

Chapters cover the nature of randomness and the element of chance, the concepts of both hidden costs and opportunity costs, the economic effect of human action, the randomness of economic events, random walk hypotheses and observable and unobservable phenomena. It situates the discussion in John Maynard Keynes’ and Ronald Fisher’s seminal works on probability, as well as introducing key tenets of probability theory and how these can be applied to economic events. The book considers the relationship between artificial intelligence and economic events, the role of big data, and international examples fromdifferent economic systems and how these can be evaluated. It also introduces a multidisciplinary exploration of other social sciences and how they deal with uncertainty, to assess the extent to which it is possible to apply probability theory to economic events which are by nature erratic and uncertain.
This book will be of interest to researchers and students in economics, statistics, and those in the social sciences interested in questions of randomness and chance.

(https://link.springer.com/book/10.1007/978-3-031-53078-4)