Statistical Studies of Income, Poverty and Inequality in Europe

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A01=Nicholas T. Longford
advanced poverty assessment techniques
Age Group_Uncategorized
Age Group_Uncategorized
Author_Nicholas T. Longford
automatic-update
Bootstrap Estimates
Category1=Non-Fiction
Category=JBF
Category=JHBC
Category=JMA
Category=JMB
Category=KCH
Category=KCHS
Category=PBT
Category=UFM
Conditional Expectation
Confusion Index
COP=United States
curve
Delivery_Delivery within 10-20 working days
Em Algorithm
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
equivalised
estimation of indices
estimation of population quantities
Ho Ld
Horvitz Thompson Estimator
household
household economic data
Ht Estimator
Improper Component
Improper Density
income distribution analysis
indices of poverty
Intact Households
Language_English
Left Hand Panel
lorenz
Lorenz Curves
Minority Component
Mixture Model
Mixture Model Fit
multiplicative
Multivariate Normal
Multivariate Normal Distributions
multivariate statistical modeling
PA=Available
Potential Outcomes Framework
Poverty Gap
Poverty Indices
Price_€100 and above
Propensity Groups
Propensity Scores
Proper Component
PS=Active
rate
sampling
scale
Small Area Estimation
social exclusion measurement
Social Transfer System
Social Transfers
softlaunch
standard
survey methodology
Treatment Assignment Mechanism
weights
welfare statistics

Product details

  • ISBN 9781466568327
  • Weight: 620g
  • Dimensions: 156 x 234mm
  • Publication Date: 07 Jul 2014
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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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.

Nicholas T. Longford is Director of SNTL Statistics Research and Consulting and Academic Visitor at Universitat Pompeu Fabra, Barcelona, Spain. His previous appointments include Educational Testing Service, Princeton, NJ, U.S.A., and De Montfort University, Leicester, U.K.

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