Elementary Tools for Stochasitc Analysis
Yuji Aruka
Chapter Chapter 12 in Evolutionary Economics, 2024, pp 231-260 from Springer
Abstract:
Abstract Lambert Adolf Jacob Quételet (1796–1874), the astronomer, first attempted to ground statistical sociology with the ‘average man’ (l’ homme moyen). He then exhibits an interesting question about the difference between criminals and ordinary people. Even if the probability distribution of crime occurrence is Gaussian, different theoretical backgrounds arise depending on whether crime is regarded as acquired or innate. If it is considered acquired, there will be a uniform population with a certain probability of becoming a criminal, whereas if all criminals are congenital, there is a probability of being born a criminal. Quételet is also currently well known by the body mass index (BMI) scale, originally called the Quetelet Index. The obesity index is also attributed to him. He proposed that society be modeled using mathematical probability and social statistics, which brought the ‘enthusiasm for normal distributions’ of natural and social scientists in the 19th century. Indeed, from the discoveries of Bernoulli and de Moivre, it came to be thought that large amounts of data on completely chance events could be used to argue for nonchance regularities. Moreover, the large amounts of data that came to be accumulated with the industrial revolution were also thought to apply to population, industry and society. This was the birth moment of social statistics. It came to be thought that distribution laws such as the Gaussian normal curve could be recognised everywhere. In other words, if we can consider ‘normal size’, we can also talk about ‘normal distribution’. Clearly, everyone has the freedom to be or not to be a criminal. However, the probability may be already determined at birth. In this circumstance, unlimited freedom and responsibility could not be guranteed. From the dawn of the Enlightenment, the ideals of freedom and probabilistic design have not always been compatible. The enthusiasm of probability distribution, on the contrary, was rather irrelevant to ethics. As time evolved since the enthusiasim due to Quételet, various problems were addressed, such as ‘the existence of dependence or interaction between individual data, or the occurrence of unusually large scatter and fluctuations’, and the assumption of normality in asset price fluctuations, for example in economic examples, was dismissed. This is nothing but an achievement of econophysics, but this is a very recent one. Finally, we learn the Polya urn processPolya urn process as a good reference mechanism to grasp the evolution of the systemEvolution of the system.
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-981-97-1382-0_12
Ordering information: This item can be ordered from
http://www.springer.com/9789819713820
DOI: 10.1007/978-981-97-1382-0_12
Access Statistics for this chapter
More chapters in Springer Texts in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().