MARC Record from marc_columbia

LEADER: 02196cam a2200301Ka 4500
001 7142420
005 20221130211250.0
008 080709s2009 nyua b 001 0 eng d
020 $a9780387792521
020 $a038779252X
035 $a(OCoLC)ocn233932245
035 $a(OCoLC)233932245
035 $a(NNC)7142420
035 $a7142420
040 $aBTCTA$cBTCTA$dBAKER$dYDXCP$dCDX$dGZM$dOrLoB-B
050 4 $aHB523$b.C43 2009
082 04 $a339.2/01/51$222
100 1 $aChakravarty, Satya R.$0http://id.loc.gov/authorities/names/n89649231
245 10 $aInequality, polarization and poverty :$badvances in distributional analysis /$cSatya R. Chakravarty.
260 $aNew York :$bSpringer,$c2009.
300 $ax, 178 pages :$billustrations ;$c25 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references (p. 151-170) and index.
505 00 $g1.$tThe Measurement of Income Inequality -- $g2.$tInequality and Income Poverty -- $g3.$tMeasuring Income Deprivation -- $g4.$tThe Measurement of Income Polarization -- $g5.$tThe Measurement of Multidimensional Inequality -- $g6.$tThe Measurement of Multidimensional Poverty.
520 1 $a"The study of inequality, polarization and poverty is crucial for understanding the economic well-being of the population of a country. Conceptual and methodological advances and better data have provided better insights into these issues in recent years, and it is the objective of the book to present a systematic and up-to-date treatment of the developments in the subject. Both welfare theoretic and descriptive approaches are discussed and, since the wellbeing of a population depends on income and non-income indicators, both unidimensional and multidimensional frameworks are taken into consideration. The technical terms and mathematical operations employed to analyze the results are explained intuitively in non-technical terms, and numerical analyses and graphical representations help to illustrate important concepts."--BOOK JACKET.
650 0 $aIncome distribution$xMathematical models.$0http://id.loc.gov/authorities/subjects/sh85064767
852 00 $boff,bus$hHB523$i.C43 2009g