Well‐Being, Deprivation, and the Great Recession in the U.S.: A Study in A Multidimensional Framework
| Published date | 01 November 2019 |
| Author | Shatakshee Dhongde,Prasanta K. Pattanaik,Yongsheng Xu |
| Date | 01 November 2019 |
| DOI | http://doi.org/10.1111/roiw.12411 |
© 2019 Internation al Association for Re search in Inco me and Wealth
S281
WELL-BEING, DEPRIVATION, AND THE GREAT RECESSION IN THE
U.S.: A STUDY IN A MULTIDIMENSIONAL FRAMEWORK
by ShatakShee DhongDe*
Georgia In stitute of Technology
PraSanta k. Pattanaik
University of California Riverside
AND
yongSheng Xu
Georgia State University
We study changes in social well-being and deprivation in the U.S. during the Great Recession and the
subsequent recovery. We outline an analytical framework for measuring well-being and deprivation in a
multidimensional fashion when data on achievement in each dimension is assumed to be ordinal and
binary in nature. We use data from the American Community Survey between 2008 and 2015 and find
that there was a decline in social well-being and a rise in social deprivation in the U.S. during the reces-
sion followed by a reversal of trends during the recovery. Despite low deprivation levels among the
White population, this population experienced the largest increase in deprivation during the recession
and the least decline in deprivation in the recovery period. These results underscore the fact that the
impact of recession and the subsequent recovery varied significantly across population groups.
JEL Codes: D36, I31, J10
Keywords: deprivation, multidimensional, recession, well-being, United States
1. introDuction
The Great Recession at the turn of the last decade was a searing experience for
the American society. The official poverty measure based on the head-count ratio
increased from about 13 percent in 2008 to almost 15 percent in 2011.1 In addition
to affecting income levels, the recession had far reaching consequences on other
indicators of quality of life such as health and housing. How the Great Recession
affected the society’s overall well-being and deprivation and what happened during
1https://www.census.gov/topics/income-poverty/poverty.html.
Note: We are grateful to the editors and two referees of this journal for providing numerous helpful
comments. An earlier version of the paper was presented at the IARIW-Bank of Korea conference held
in Seoul, South Korea in April 2017. We are grateful to Andrea Brandolini for discussing the paper at
the conference and providing useful suggestions. We would also like to thank participants at a confer-
ence organized by the Society for Economic Measurement, held at Massachusetts Institute of
Technology, Cambridge, Massachusetts, where a draft of the paper was presented in July 2017.
*Correspondence to: Shatakshee Dhongde, School of Economics, Georgia Institute of Technology,
Atlanta, GA 30332, USA (shatakshee.dhongde@econ.gatech.edu).
Review of Inc ome and Wealth
Series 65, Numb er S1, November 2019
DOI : 10.1111 /roi w.12411
bs_bs_banner
Review of Income and Wealth, Series 65, Number S1, November 2019
S282
© 2019 Internation al Association for Re search in Inco me and Wealth
the recovery which followed the recession are important issues which deserve seri-
ous study. The United Nations Human Development Report annually publishes a
multidimensional poverty index for almost 100 developing countries. Several coun-
tries officially release their own estimates of multidimensional poverty measures.
For example, Bhutan, Chile, Colombia, Costa Rica, Ecuador, El Salvador Mexico,
and the Philippines release official estimates of multidimensional poverty. In addi-
tion to the official statistics, there has been a rapid expansion of literature estimat-
ing multidimensional measures among countries (Alkire et al., 2015). One might
expect that there would be similar studies measuring the impact of the Great
Recession on multidimensional well-being and deprivation in the U.S. It is rather
surprising that this has indeed not been the case. Dhongde and Haveman (2017) is
perhaps the only comprehensive paper which systematically measures multidimen-
sional deprivation in the U.S. during the Great Recession. As far as we know, ours
is the first paper to use an axiomatic approach to measure multidimensional
well-being and deprivation in the U.S. over a period of 8 years spanning the Great
Recession and the subsequent recovery. We study changes in overall well-being and
deprivation, as well as changes in these measures among several population
groups.2
Our study uses a conceptual and analytical framework that draws on the con-
tributions of Dhongde et al. (2016). While the contributions of Dhongde et al.
(2016) focus on measures of social deprivation, we first study axiomatically a class
of measures of social well-being in the context of ordinal and binary data. Our
measures of social well-being can be constructed in three steps: (i) for each indi-
vidual, we compute the individual’s overall achievement defined as a weighted sum
of her achievements in all dimensions (the weight attached to the achievement in
any given dimension being the same for all individuals), (ii) each individual’s over-
all achievement is then transformed to that individual’s well-being, and (iii) the
measure of social well-being is taken to be the sum of all individuals’ well-beings.
It may be of interest to note that the construction of our measures of social well-
being resembles that of a prioritarian (or generalized utilitarian) social welfare
function discussed in the social choice literature (Blackorby et al., 2002; Parfit,
1997). In our framework of binary data, an individual’s achievement in a dimen-
sion is either 0 or 1. An achievement of 0 in a dimension can therefore be regarded
as non-achievement or deprivation in that dimension, and an achievement of 1 in
a dimension can be regarded as an absence of deprivation in that dimension. We
then take advantage of this close connection between an individual’s dimensional
achievement and dimensional deprivation and develop a new and intuitive way to
measure an individual’s overall deprivation from the individual’s overall achieve-
ment. Since we accept the intuition that, in our multidimensional framework, an
individual who has some dimensional deprivations, and, hence, some overall depri-
vation, may not necessarily be considered to be deprived and since we want to
2Though often referred to as multidimensional “poverty” in the literature, we choose to use the
term multidimensional deprivation, for two reasons. First, we define deprivation as lack of certain
achievements; a shortfall in these achievements may not necessarily translate into poverty. Second, the
notion of poverty in policy debates in the U.S. seems to be closely associated with either income poverty
or material hardship. We follow two of the recent empirical studies in the U.S., namely Dhongde and
Haveman (2017) and Mitra and Brucker (2017) who refer to their indices as multidimensional depriva-
tion measures rather than multidimensional poverty measures.
Get this document and AI-powered insights with a free trial of vLex and Vincent AI
Get Started for FreeStart Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting
Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting
Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting
Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting
Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting