Index Numbers in Economic Theory and Practice

Index Numbers in Economic Theory and Practice

Author: R. G. D. Allen

Publisher: Routledge

Published: 2017-07-12

Total Pages: 290

ISBN-13: 135151279X

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There is no book currently available that gives a comprehensive treatment of the design, construction, and use of index numbers. However, there is a pressing need for one in view of the increasing and more sophisticated employment of index numbers in the whole range of applied economics and specifically in discussions of macroeconomic policy. In this book, R. G. D. Allen meets this need in simple and consistent terms and with comprehensive coverage. The text begins with an elementary survey of the index-number problem before turning to more detailed treatments of the theory and practice of index numbers. The binary case in which one time period is compared with another is first developed and illustrated with numerous examples. This is to prepare the ground for the central part of the text on runs of index numbers. Particular attention is paid both to fixed-weighted and to chain forms as used in a wide range of published index numbers taken mainly from British official sources. This work deals with some further problems in the construction of index numbers, problems which are both troublesome and largely unresolved. These include the use of sampling techniques in index-number design and the theoretical and practical treatment of quality changes. It is also devoted to a number of detailed and specific applications of index-number techniques to problems ranging from national-income accounting, through the measurement of inequality of incomes and international comparisons of real incomes, to the use of index numbers of stock-market prices. Aimed primarily at students of economics, whatever their age and range of interests, this work will also be of use to those who handle index numbers professionally.


Essays on the Theory and Practice of Index Numbers

Essays on the Theory and Practice of Index Numbers

Author: Kam Yu

Publisher: VDM Verlag

Published: 2010-03

Total Pages: 201

ISBN-13: 3639212371

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Economic measurement has over the years become an important subject in academic and policy researches. Debates in the development of macroeconomic theory and public policy rely on accurate feedback of aggregate data. This book fills the gap between the theory and practice in index numbers. It reviews and explores several important topics which lead to improvement in measuring price and output indices. These include econometric problems in hedonic regression, treatment of seasonal goods in the CPI, output and productivity measurement of government services, efficiency analysis of the health care sector, and a novel approach in calculating the cost-of-living indices for products involving risk and uncertainty. The book serves as a valuable references for academic economists, policy analysts, and economic statisticians.


Statistics: Theory and Practice

Statistics: Theory and Practice

Author: R S N Pillai & Bagavathi

Publisher: S. Chand Publishing

Published: 2019

Total Pages: 884

ISBN-13: 9352837266

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A comprehensive and easy to understand text, this book discusses fundamental theoretical concepts with emphasis on practical applicability. The book begins with the explanation of statistical fundamentals and progresses to discussion of representation and presentation techniques, measures of central tendency, dispersion, skewness, correlation, regression, and index numbers.


Export and Import Price Index Manual: Theory and Practice

Export and Import Price Index Manual: Theory and Practice

Author: OECD

Publisher: OECD Publishing

Published: 2010-04-06

Total Pages: 705

ISBN-13: 9264085416

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A joint production by six international organizations, this manual explores the conceptual and theoretical issues that national statistical offices should consider in the daily compilation of export and import price indices. Intended for use by both ...


Statistics (Theory & Practice)

Statistics (Theory & Practice)

Author: R S N Pillai

Publisher: S. Chand Publishing

Published: 2008

Total Pages: 888

ISBN-13: 8121904315

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This book faciliates easy understanding of the matter without any tediousness in grasping the theories and illustrations.This book is completed in respect of the syllabus for B.Com and B.A.(Eco) degrees (Semester and Non-Semester) of Madurai Kamaraj University.Every effort has been made to give illustrations for lucidit. Every chapter explains the principles through appropiate illustrations.At the end of each chapter selected exercises from different university papers have been included alongwith answers.This book covers theortical, practical and applied aspects of statistics as far as possible in a clear and exhaustive manner. This book contains 553 solved illustrations, 442 Objective Type Questions, 264 theortical questions and 1,000 practical problems with appropiate answers.


The Palgrave Companion to LSE Economics

The Palgrave Companion to LSE Economics

Author: Robert A. Cord

Publisher: Springer

Published: 2019-01-18

Total Pages: 949

ISBN-13: 113758274X

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The London School of Economics (LSE) has been and continues to be one of the most important global centres for economics. With six chapters on themes in LSE economics and 29 chapters on the lives and work of LSE economists, this volume shows how economics became established at the School, how it produced some of the world’s best-known economists, including Lionel Robbins and Bill Phillips, plus Nobel Prize winners, such as Friedrich Hayek, John Hicks and Christopher Pissarides, and how it remains a global force for the very best in teaching and research in economics. With original contributions from a stellar cast, this volume provides economists – especially those interested in macroeconomics and the history of economic thought – with the first in-depth analysis of LSE economics.


A Practical Introduction to Index Numbers

A Practical Introduction to Index Numbers

Author: Jeff Ralph

Publisher: John Wiley & Sons

Published: 2015-06-17

Total Pages: 233

ISBN-13: 1118977793

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This book provides an introduction to index numbers for statisticians, economists and numerate members of the public. It covers the essential basics, mixing theoretical aspects with practical techniques to give a balanced and accessible introduction to the subject. The concepts are illustrated by exploring the construction and use of the Consumer Prices Index which is arguably the most important of all official statistics in the UK. The book also considers current issues and developments in the field including the use of large-scale price transaction data. A Practical Introduction to Index Numbers will be the ideal accompaniment for students taking the index number components of the Royal Statistical Society Ordinary and Higher Certificate exams; it provides suggested routes through the book for students, and sets of exercises with solutions.


Statistical Foundations of Data Science

Statistical Foundations of Data Science

Author: Jianqing Fan

Publisher: CRC Press

Published: 2020-09-21

Total Pages: 974

ISBN-13: 0429527616

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Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications. The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning.