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Author: Christian Kleiber Publisher: John Wiley & Sons ISBN: 0471457167 Category : Mathematics Languages : en Pages : 354
Book Description
A comprehensive account of economic size distributions around the world and throughout the years In the course of the past 100 years, economists and applied statisticians have developed a remarkably diverse variety of income distribution models, yet no single resource convincingly accounts for all of these models, analyzing their strengths and weaknesses, similarities and differences. Statistical Size Distributions in Economics and Actuarial Sciences is the first collection to systematically investigate a wide variety of parametric models that deal with income, wealth, and related notions. Christian Kleiber and Samuel Kotz survey, compliment, compare, and unify all of the disparate models of income distribution, highlighting at times a lack of coordination between them that can result in unnecessary duplication. Considering models from eight languages and all continents, the authors discuss the social and economic implications of each as well as distributions of size of loss in actuarial applications. Specific models covered include: Pareto distributions Lognormal distributions Gamma-type size distributions Beta-type size distributions Miscellaneous size distributions Three appendices provide brief biographies of some of the leading players along with the basic properties of each of the distributions. Actuaries, economists, market researchers, social scientists, and physicists interested in econophysics will find Statistical Size Distributions in Economics and Actuarial Sciences to be a truly one-of-a-kind addition to the professional literature.
Author: Christian Kleiber Publisher: John Wiley & Sons ISBN: 0471457167 Category : Mathematics Languages : en Pages : 354
Book Description
A comprehensive account of economic size distributions around the world and throughout the years In the course of the past 100 years, economists and applied statisticians have developed a remarkably diverse variety of income distribution models, yet no single resource convincingly accounts for all of these models, analyzing their strengths and weaknesses, similarities and differences. Statistical Size Distributions in Economics and Actuarial Sciences is the first collection to systematically investigate a wide variety of parametric models that deal with income, wealth, and related notions. Christian Kleiber and Samuel Kotz survey, compliment, compare, and unify all of the disparate models of income distribution, highlighting at times a lack of coordination between them that can result in unnecessary duplication. Considering models from eight languages and all continents, the authors discuss the social and economic implications of each as well as distributions of size of loss in actuarial applications. Specific models covered include: Pareto distributions Lognormal distributions Gamma-type size distributions Beta-type size distributions Miscellaneous size distributions Three appendices provide brief biographies of some of the leading players along with the basic properties of each of the distributions. Actuaries, economists, market researchers, social scientists, and physicists interested in econophysics will find Statistical Size Distributions in Economics and Actuarial Sciences to be a truly one-of-a-kind addition to the professional literature.
Author: Shahdad Naghshpour Publisher: Business Expert Press ISBN: 160649404X Category : Business & Economics Languages : en Pages : 152
Book Description
Statistics is the branch of mathematics that deals with real-life problems. As such, it is an essential tool for economists. Unfortunately, the way you and many other economists learn the concept of statistics is not compatible with the way economists think and learn. The problem is worsened by the use of mathematical jargon and complex derivations. Here’s a book that proves none of this is necessary. All the examples and exercises in this book are constructed within the field of economics, thus eliminating the difficulty of learning statistics with examples from fields that have no relation to business, politics, or policy. Statistics is, in fact, not more difficult than economics. Anyone who can comprehend economics can understand and use statistics successfully within this field, including you! This book utilizes Microsoft Excel to obtain statistical results, as well as to perform additional necessary computations. Microsoft Excel is not the software of choice for performing sophisticated statistical analysis. However, it is widely available, and almost everyone has some degree of familiarity with it. Using Excel will eliminate the need for students and readers to buy and learn new software, the need that itself would prove to be another impediment to learning and using statistics.
Author: Demissie Alemayehu, PhD Publisher: CRC Press ISBN: 1351252674 Category : Mathematics Languages : en Pages : 274
Book Description
With ever-rising healthcare costs, evidence generation through Health Economics and Outcomes Research (HEOR) plays an increasingly important role in decision-making about the allocation of resources. Accordingly, it is now customary for health technology assessment and reimbursement agencies to request for HEOR evidence, in addition to data from clinical trials, to inform decisions about patient access to new treatment options. While there is a great deal of literature on HEOR, there is a need for a volume that presents a coherent and unified review of the major issues that arise in application, especially from a statistical perspective. Statistical Topics in Health Economics and Outcomes Research fulfils that need by presenting an overview of the key analytical issues and best practice. Special attention is paid to key assumptions and other salient features of statistical methods customarily used in the area, and appropriate and relatively comprehensive references are made to emerging trends. The content of the book is purposefully designed to be accessible to readers with basic quantitative backgrounds, while providing an in-depth coverage of relatively complex statistical issues. The book will make a very useful reference for researchers in the pharmaceutical industry, academia, and research institutions involved with HEOR studies. The targeted readers may include statisticians, data scientists, epidemiologists, outcomes researchers, health economists, and healthcare policy and decision-makers.
Author: Andrew Leigh Publisher: Yale University Press ISBN: 0300240112 Category : Social Science Languages : en Pages : 283
Book Description
A fascinating account of how radical researchers have used experiments to overturn conventional wisdom and shaped life as we know it Experiments have consistently been used in the hard sciences, but in recent decades social scientists have adopted the practice. Randomized trials have been used to design policies to increase educational attainment, lower crime rates, elevate employment rates, and improve living standards among the poor. This book tells the stories of radical researchers who have used experiments to overturn conventional wisdom. From finding the cure for scurvy to discovering what policies really improve literacy rates, Leigh shows how randomistas have shaped life as we know it. Written in a “Gladwell-esque” style, this book provides a fascinating account of key randomized control trial studies from across the globe and the challenges that randomistas have faced in getting their studies accepted and their findings implemented. In telling these stories, Leigh draws out key lessons learned and shows the most effective way to conduct these trials.
Author: Joseph E. Stiglitz Publisher: The New Press ISBN: 162097570X Category : Business & Economics Languages : en Pages : 257
Book Description
A bold agenda for a better way to assess societal well-being, by three of the world's leading economists and statisticians "If we want to put people first, we have to know what matters to them, what improves their well-being, and how we can supply more of whatever that is." —Joseph E. Stiglitz In 2009, a group of economists led by Nobel laureate Joseph E. Stiglitz, French economist Jean-Paul Fitoussi, and Nobel laureate Amartya Sen issued a report challenging gross domestic product (GDP) as a measure of progress and well-being. Published as Mismeasuring Our Lives by The New Press, the book sparked a global conversation about GDP and a major movement among scholars, policy makers, and activists to change the way we measure our economies. Now, in Measuring What Counts, Stiglitz, Fitoussi, and Martine Durand—summarizing the deliberations of a panel of experts on the measurement of economic performance and social progress hosted at the OECD, the international organization incorporating the most economically advanced countries—propose a new, "beyond GDP" agenda. This book provides an accessible overview of the last decade's global movement, sparked by the original critique of GDP, and proposes a new "dashboard" of metrics to assess a society's health, including measures of inequality and economic vulnerability, whether growth is environmentally sustainable, and how people feel about their lives. Essential reading for our time, it also serves as a guide for policy makers and others on how to use these new tools to fundamentally change the way we measure our lives—and to plot a radically new path forward.
Author: Christian Kleiber
Author: Christian Kleiber
Author: United States. Internal Revenue Service
Author: Shahdad Naghshpour
Author: Demissie Alemayehu, PhD
Author: Andrew Leigh
Author: Mary S. Morgan
Author: J. Adam Tooze
Author: Stephen Thomas Ziliak
Author: Joseph E. Stiglitz
Author: Vasiliĭ Sergeevich Nemchinov