A new approach to measuring and studying the characteristics of class membership: Examining poverty, inequality and polarization in urban China
Gordon Anderson,
Alessio Farcomeni,
Maria Grazia Pittau and
Roberto Zelli
Journal of Econometrics, 2016, vol. 191, issue 2, 348-359
Abstract:
Classifying agents into subgroups in order to measure the plight of the “poor”, “middle class” or “rich” is common place in economics, unfortunately the definition of class boundaries is contentious and beset with problems. Here a technique based on mixture models is proposed for surmounting these problems by determining the number of classes in a population and estimating the probability that an agent belongs to a particular class. All of the familiar statistics for describing the classes remain available and the possibility of studying the correlates of class membership is raised. As a substantive illustration we analyze household income in Urban China in the last decade of the 20th Century. Four income groups are classified and the progress of those “poor”, “lower middle”, “upper middle” and “rich” classes are related to household and regional characteristics.
Keywords: Poverty frontiers; Mixture models; Class membership; Urban China (search for similar items in EconPapers)
JEL-codes: C14 I32 O1 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304407615002821
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:191:y:2016:i:2:p:348-359
DOI: 10.1016/j.jeconom.2015.12.006
Access Statistics for this article
Journal of Econometrics is currently edited by T. Amemiya, A. R. Gallant, J. F. Geweke, C. Hsiao and P. M. Robinson
More articles in Journal of Econometrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().