Description
Book SynopsisThere 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 a
Trade Review
"In this book, the analyses of surveys conducted by EU-SILC are carried out using the statistical language R. … One noteworthy section … is devoted to Horvitz–Thompson estimation and is methodologically solid. … The presented methods … are illustrative in the use of software codes, figures, tables, and graphics."
—International Statistical Review, 2015
Table of ContentsPoverty Rate. Statistical Background. Poverty Indices. Mixtures of Distributions. Regions. Transitions. Multivariate Mixtures. Social Transfers. Causes and Effects. Education and Income. Epilogue. Bibliography. Subject Index. Index of User-Defined R Functions.
