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Multilateral Wellbeing Comparison in a Many Dimensioned World Ordering and Ranking Collections of Groups

:	Gordon Anderson
:	Multilateral Wellbeing Comparison in a Many Dimensioned World Ordering and Ranking Collections of Groups
:	Palgrave Macmillan
:	9783030211301
:	1
:	CHF 56.80
:

:	Volkswirtschaft
:	English

:	205
:	Wasserzeichen/DRM
:	PC/MAC/eReader/Tablet
:	PDF

This book addresses the disparities that arise when measuring and modeling societal behavior and progress across the social sciences. It looks at why and how different disciplines and even researchers can use the same data and yet come to different conclusions about equality of opportunity, economic and social mobility, poverty and polarization, and conflict and segregation. Because societal behavior and progress exist only in the context of other key aspects, modeling becomes exponentially more complex as more of these aspects are factored into considerations. The content of this book transcends disciplinary boundaries, providing valuable information on measuring and modeling to economists, sociologists, and political scientists who are interested in data-based analysis of pressing social issues.

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	Acknowledgments	7
	Contents	8
	List of Figures	11
	List of Tables	13
	Introduction	15
	Chapter 1: Measuring the Wellbeing of Groups	19
	1.1 Introduction	19
	1.2 An Outline of What Follows	21
	1.3 Measuring Wellbeing: The Social Welfare Function	24
	1.4 Measuring Wellbeing: The Benthamite Tradition	28
	1.5 The Pigou-Dalton Principle: “Inequality Is a Bad Thing”	29
	1.6 Polarization	30
	1.7 Social Exclusion	31
	1.8 Equality of Opportunity and Social Mobility	34
	1.9 The Rawlsian Principle and the Focus on Poverty	36
	1.10 What to Do Now?	36
	References	37
	Chapter 2: Statistical Matters	40
	2.1 Introduction	40
	2.2 Probability Distributions	41
	Multivariate Considerations	43
	Statistical Independence	45
	Independence and Random Samples	47
	Independence and Groups	47
	Measures of Location and Dispersion	48
	Means and Variances and the Expectations Operator	48
	Location Measures	51
	Inequality Measures	51
	Some Unit Free Inequality Measures	51
	2.3 Parametric and Non-Parametric Distributions	54
	An Example of a Discrete Probability Density Function: The Poisson Distribution	54
	An Example of Continuous Probability Density Function: The Normal Distribution	56
	Multidimensional Considerations	58
	A Note of Caution	58
	The Normal Distribution and Central Limit Theorems	59
	Estimation of Unknown Parameters	60
	2.4 Kernel Estimation	60
	Non-Parametric Distributions	60
	The Kernel Function	61
	Choosing the “H” and the Kernel	62
	Choosing “H”	63
	Least Squares Cross Validation	64
	Likelihood C