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Statistical Studies of Income, Poverty and Inequality in Europe - Computing and Graphics in R using EU-SILC (Paperback) Loot Price: R1,378
Discovery Miles 13 780
Statistical Studies of Income, Poverty and Inequality in Europe - Computing and Graphics in R using EU-SILC (Paperback):...

Statistical Studies of Income, Poverty and Inequality in Europe - Computing and Graphics in R using EU-SILC (Paperback)

Nicholas T. Longford

Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

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Loot Price R1,378 Discovery Miles 13 780 | Repayment Terms: R129 pm x 12*

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There is no shortage of incentives to study and reduce poverty in our societies. Poverty is studied in economics and political sciences, and population surveys are an important source of information about it. The design and analysis of such surveys is principally a statistical subject matter and the computer is essential for their data compilation and processing. Focusing on The European Union Statistics on Income and Living Conditions (EU-SILC), a program of annual national surveys which collect data related to poverty and social exclusion, Statistical Studies of Income, Poverty and Inequality in Europe: Computing and Graphics in R presents a set of statistical analyses pertinent to the general goals of EU-SILC. The contents of the volume are biased toward computing and statistics, with reduced attention to economics, political and other social sciences. The emphasis is on methods and procedures as opposed to results, because the data from annual surveys made available since publication and in the near future will degrade the novelty of the data used and the results derived in this volume. The aim of this volume is not to propose specific methods of analysis, but to open up the analytical agenda and address the aspects of the key definitions in the subject of poverty assessment that entail nontrivial elements of arbitrariness. The presented methods do not exhaust the range of analyses suitable for EU-SILC, but will stimulate the search for new methods and adaptation of established methods that cater to the identified purposes.

General

Imprint: Taylor & Francis
Country of origin: United Kingdom
Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Release date: 2023
First published: 2015
Authors: Nicholas T. Longford
Dimensions: 234 x 156mm (L x W)
Format: Paperback
Pages: 376
ISBN-13: 978-1-03-247736-7
Categories: Books > Business & Economics > Economics > Econometrics > Economic statistics
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
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LSN: 1-03-247736-9
Barcode: 9781032477367

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