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Year : 2018  |  Volume : 6  |  Issue : 2  |  Page : 74-93

A statistical model for quantification of Panchakośas of large collective entities

1 Department of Chemistry, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India
2 Directorate of Distance Education, SVYASA University, Bengaluru, Karnataka, India

Correspondence Address:
Dr. Bhalachadra Laxmanrao Tembe
Indian Institute of Technology Bombay, Mumbai - 400 076, Maharashtra
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/ijny.ijoyppp_16_17

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There are several ways of assessing the well-being of individuals as well as a collection of individuals. The panchakośa model is an evolved model for analyzing the well-being of individuals. For large collections of individuals such as nations, several ways are available for estimating the gross national happiness indices. In the present article, quantification of the five sheaths or the panchakośa of large collections of individuals is outlined. Methodology: The methodology uses large sets of data available from reliable sources such as World Development Indicators reports as well as the United Nations Organization data. Different characteristics of nations and its people are used as parameters for quantifying the five kośas of collective entities and these are rescaled so that a numerical estimate is made on a scale of 0–100 for each kośa. Results: The data for the five kośas can be combined to get an effective quantitative measure of happiness or well-being of a nation. The happiness levels in different kośas for 24 countries from different continents are estimated by a simple weighted average or a statistical method using 41 parameters. The results show a fair amount of ruggedness after the number of parameters increases beyond about 5 or 6 for each kośa. Conclusions: This Panchakośa Model of Happiness-I appears to be a fairly systematic way of analyzing the happiness levels in different kośas and can be used as a basis for a healthy model of development and interactions of large collective entities such as nations.

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