Statistical studies of income, poverty and inequality in Europe: computing and graphics in R using EU-SILC
"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 a...
Gespeichert in:
Beteilige Person: | |
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Format: | Buch |
Sprache: | Englisch |
Veröffentlicht: |
Boca Raton, Fla. [u.a.]
CRC Press
2015
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Schriftenreihe: | Chapman & Hall - CRC statistics in the social and behavioral sciences
|
Schlagwörter: | |
Links: | http://images.tandf.co.uk/common/jackets/websmall/978146656/9781466568327.jpg |
Zusammenfassung: | "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".. |
Beschreibung: | Includes bibliographical references and index |
Umfang: | XXII, 354 S. graph. Darst. |
ISBN: | 9781466568327 |
Internformat
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490 | 0 | |a Chapman & Hall - CRC statistics in the social and behavioral sciences | |
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520 | |a "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".. | ||
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Datensatz im Suchindex
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adam_text | |
any_adam_object | |
author | Longford, Nicholas T. 1955- |
author_GND | (DE-588)171870255 |
author_facet | Longford, Nicholas T. 1955- |
author_role | aut |
author_sort | Longford, Nicholas T. 1955- |
author_variant | n t l nt ntl |
building | Verbundindex |
bvnumber | BV042070663 |
callnumber-first | H - Social Science |
callnumber-label | HC79 |
callnumber-raw | HC79.I5 |
callnumber-search | HC79.I5 |
callnumber-sort | HC 279 I5 |
callnumber-subject | HC - Economic History and Conditions |
classification_rvk | MR 2200 |
ctrlnum | (OCoLC)897797484 (DE-599)BVBBV042070663 |
dewey-full | 339.2/2094 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 339 - Macroeconomics and related topics |
dewey-raw | 339.2/2094 |
dewey-search | 339.2/2094 |
dewey-sort | 3339.2 42094 |
dewey-tens | 330 - Economics |
discipline | Soziologie Wirtschaftswissenschaften |
format | Book |
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geographic | Europa |
geographic_facet | Europa |
id | DE-604.BV042070663 |
illustrated | Illustrated |
indexdate | 2025-01-11T16:52:47Z |
institution | BVB |
isbn | 9781466568327 |
language | English |
lccn | 014019434 |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027511339 |
oclc_num | 897797484 |
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owner | DE-473 DE-BY-UBG DE-19 DE-BY-UBM |
owner_facet | DE-473 DE-BY-UBG DE-19 DE-BY-UBM |
physical | XXII, 354 S. graph. Darst. |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | CRC Press |
record_format | marc |
series2 | Chapman & Hall - CRC statistics in the social and behavioral sciences |
spelling | Longford, Nicholas T. 1955- Verfasser (DE-588)171870255 aut Statistical studies of income, poverty and inequality in Europe computing and graphics in R using EU-SILC Nicholas T. Longford Boca Raton, Fla. [u.a.] CRC Press 2015 XXII, 354 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Chapman & Hall - CRC statistics in the social and behavioral sciences Includes bibliographical references and index "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".. Europäische Union (DE-588)5098525-5 gnd rswk-swf MATHEMATICS / Probability & Statistics / General bisacsh Mathematisches Modell Sozialwissenschaften Income distribution Europe Poverty Europe Equality Europe Social sciences Research Mathematical models MATHEMATICS / Probability & Statistics / General Armut (DE-588)4002963-3 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Ungleichheit (DE-588)4186884-5 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Einkommensunterschied (DE-588)4151342-3 gnd rswk-swf Europa Europäische Union (DE-588)5098525-5 b Einkommensunterschied (DE-588)4151342-3 s Armut (DE-588)4002963-3 s Ungleichheit (DE-588)4186884-5 s Mathematisches Modell (DE-588)4114528-8 s R Programm (DE-588)4705956-4 s DE-604 http://images.tandf.co.uk/common/jackets/websmall/978146656/9781466568327.jpg Cover image |
spellingShingle | Longford, Nicholas T. 1955- Statistical studies of income, poverty and inequality in Europe computing and graphics in R using EU-SILC Europäische Union (DE-588)5098525-5 gnd MATHEMATICS / Probability & Statistics / General bisacsh Mathematisches Modell Sozialwissenschaften Income distribution Europe Poverty Europe Equality Europe Social sciences Research Mathematical models MATHEMATICS / Probability & Statistics / General Armut (DE-588)4002963-3 gnd R Programm (DE-588)4705956-4 gnd Ungleichheit (DE-588)4186884-5 gnd Mathematisches Modell (DE-588)4114528-8 gnd Einkommensunterschied (DE-588)4151342-3 gnd |
subject_GND | (DE-588)5098525-5 (DE-588)4002963-3 (DE-588)4705956-4 (DE-588)4186884-5 (DE-588)4114528-8 (DE-588)4151342-3 |
title | Statistical studies of income, poverty and inequality in Europe computing and graphics in R using EU-SILC |
title_auth | Statistical studies of income, poverty and inequality in Europe computing and graphics in R using EU-SILC |
title_exact_search | Statistical studies of income, poverty and inequality in Europe computing and graphics in R using EU-SILC |
title_full | Statistical studies of income, poverty and inequality in Europe computing and graphics in R using EU-SILC Nicholas T. Longford |
title_fullStr | Statistical studies of income, poverty and inequality in Europe computing and graphics in R using EU-SILC Nicholas T. Longford |
title_full_unstemmed | Statistical studies of income, poverty and inequality in Europe computing and graphics in R using EU-SILC Nicholas T. Longford |
title_short | Statistical studies of income, poverty and inequality in Europe |
title_sort | statistical studies of income poverty and inequality in europe computing and graphics in r using eu silc |
title_sub | computing and graphics in R using EU-SILC |
topic | Europäische Union (DE-588)5098525-5 gnd MATHEMATICS / Probability & Statistics / General bisacsh Mathematisches Modell Sozialwissenschaften Income distribution Europe Poverty Europe Equality Europe Social sciences Research Mathematical models MATHEMATICS / Probability & Statistics / General Armut (DE-588)4002963-3 gnd R Programm (DE-588)4705956-4 gnd Ungleichheit (DE-588)4186884-5 gnd Mathematisches Modell (DE-588)4114528-8 gnd Einkommensunterschied (DE-588)4151342-3 gnd |
topic_facet | Europäische Union MATHEMATICS / Probability & Statistics / General Mathematisches Modell Sozialwissenschaften Income distribution Europe Poverty Europe Equality Europe Social sciences Research Mathematical models Armut R Programm Ungleichheit Einkommensunterschied Europa |
url | http://images.tandf.co.uk/common/jackets/websmall/978146656/9781466568327.jpg |
work_keys_str_mv | AT longfordnicholast statisticalstudiesofincomepovertyandinequalityineuropecomputingandgraphicsinrusingeusilc |