Coverart for item
The Resource Statistical studies of income, poverty and inequality in Europe : computing and graphics in R using EU-SILC, Nicholas T. Longford

Statistical studies of income, poverty and inequality in Europe : computing and graphics in R using EU-SILC, Nicholas T. Longford

Label
Statistical studies of income, poverty and inequality in Europe : computing and graphics in R using EU-SILC
Title
Statistical studies of income, poverty and inequality in Europe
Title remainder
computing and graphics in R using EU-SILC
Statement of responsibility
Nicholas T. Longford
Creator
Subject
Language
eng
Summary
"Preface A majority of the population in the established members of the European Union (EU) has over the last few decades enjoyed prosperity, comfort and freedom from existential threats, such as food shortage, various forms of destruction of our lifes, homes and other possessions, judicial excesses or barred access to vital services, such as health care, education, insurance and transportation. New technologies, epitomised by the internet and the mobile phone, but also micro-surgery and cheap long-distance travel, have transformed the ways we access information, communicate with one another, obtain health care, education, training and entertainment, and how public services and administration operate. Our economies and societies have a great capacity to invent, apply inventions and package them in forms amenable for personal use by the masses. These great achievements have not been matched in one important area, namely, tackling poverty. Poverty is about as widespread in our societies as it was a few decades ago when, admittedly, our standards for what amounts to prosperity were somewhat more modest (Atkinson, 1998). Yet, there is no shortage of incentives to reduce poverty in our societies. The purely economic ones are that the poor are poor consumers, and much of our prosperity is derived from the consumption by others; the poor are poor contributors to the public funds (by taxes on income, property and consumption), which pay for some of the vital services and developments. More profound concerns are that the poor are a threat to the social cohesion, are more likely to be attracted to criminal and other illegal activities, and represent a threat to all those who are not poor, because we would not like ourselves and those dear to us to live in such circumstances"--
Member of
Assigning source
Provided by publisher
Cataloging source
DLC
http://library.link/vocab/creatorDate
1955-
http://library.link/vocab/creatorName
Longford, Nicholas T.
Index
index present
Literary form
non fiction
Nature of contents
bibliography
Series statement
Chapman & Hall/CRC statistics in the social and behavioral sciences
http://library.link/vocab/subjectName
  • Income distribution
  • Poverty
  • Equality
  • Social sciences
Label
Statistical studies of income, poverty and inequality in Europe : computing and graphics in R using EU-SILC, Nicholas T. Longford
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 203 -219) and index
Carrier category
volume
Carrier MARC source
rdacarrier.
Content category
text
Content type MARC source
rdacontent.
Contents
Rate Background Income distribution Comparisons Sampling Weights Programming Notes Statistical Background Replications. Fixed and Random Estimation. Sample Quantities Sampling Variation. Bootstrap Horvitz-Thompson Estimator Fragility of Unbiasedness and Efficiency Poverty Indices Poverty Index Relative and log-Poverty Gaps Lorenz Curve and Gini Coefficient Scaled Quantiles Income Inequality. Kernels, Scores and Scaling. Mixtures of Distributions Introduction Fitting Mixtures Examples Improper Component Components as Clusters Programming Notes. Regions Introduction Analysis of Regions Small-Area Estimation Using Auxiliary Information Regions of Spain Regions of France Simulations Programming Notes Transitions Panel Data Absolute and Relative Rates of Transition Substantial Transitions Partial Scoring of Transitions Transitions over Several Years Imputed Patterns Programming Notes. Multivariate Mixtures Multivariate Normal Distributions EM Algorithm Example Improper Component Mixture Models for the Countries in EU-SILC Stability of Income Confusion and Separation Programming Notes Social Transfers The Capacity of Social Transfers Impact of Social Transfers Potential and Effectiveness Nonparametric Regression The Perils of Indices. Programming Notes. Causes and Effects. Education and Income Background and Motivation Definitions and Notation The Missing-Data Perspective Propensity and Matched Pairs Application Programming Notes. Epilogue Bibliography Subject Index Index of User-Defined R Functions
Control code
FIEb17603626
Dimensions
24 cm.
Extent
xxii, 354 pages
Isbn
9781466568327
Media category
unmediated
Media MARC source
rdamedia.
System control number
(OCoLC)884139259
Label
Statistical studies of income, poverty and inequality in Europe : computing and graphics in R using EU-SILC, Nicholas T. Longford
Publication
Bibliography note
Includes bibliographical references (pages 203 -219) and index
Carrier category
volume
Carrier MARC source
rdacarrier.
Content category
text
Content type MARC source
rdacontent.
Contents
Rate Background Income distribution Comparisons Sampling Weights Programming Notes Statistical Background Replications. Fixed and Random Estimation. Sample Quantities Sampling Variation. Bootstrap Horvitz-Thompson Estimator Fragility of Unbiasedness and Efficiency Poverty Indices Poverty Index Relative and log-Poverty Gaps Lorenz Curve and Gini Coefficient Scaled Quantiles Income Inequality. Kernels, Scores and Scaling. Mixtures of Distributions Introduction Fitting Mixtures Examples Improper Component Components as Clusters Programming Notes. Regions Introduction Analysis of Regions Small-Area Estimation Using Auxiliary Information Regions of Spain Regions of France Simulations Programming Notes Transitions Panel Data Absolute and Relative Rates of Transition Substantial Transitions Partial Scoring of Transitions Transitions over Several Years Imputed Patterns Programming Notes. Multivariate Mixtures Multivariate Normal Distributions EM Algorithm Example Improper Component Mixture Models for the Countries in EU-SILC Stability of Income Confusion and Separation Programming Notes Social Transfers The Capacity of Social Transfers Impact of Social Transfers Potential and Effectiveness Nonparametric Regression The Perils of Indices. Programming Notes. Causes and Effects. Education and Income Background and Motivation Definitions and Notation The Missing-Data Perspective Propensity and Matched Pairs Application Programming Notes. Epilogue Bibliography Subject Index Index of User-Defined R Functions
Control code
FIEb17603626
Dimensions
24 cm.
Extent
xxii, 354 pages
Isbn
9781466568327
Media category
unmediated
Media MARC source
rdamedia.
System control number
(OCoLC)884139259

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