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CPS2227 Jonathan Haughton



                          How will we know when we have achieved our
                                 dream: a world free of poverty?
                                        Jonathan Haughton
                                           Suffolk University

            Abstract
            In this paper we examine the sensitivity of measures of poverty to the choices
            made by analysts about “internal” decisions, mainly using survey data from
            Rwanda,  but  with  appropriate  reference  to  the  experience  of  other
            countries.  We focus on four (of the many possible) “internal” issues where the
            assumptions  made  by  the  analyst  may  matter:  valuing  auto  consumption,
            adjusting for prices over time and space, specifying adult equivalents, and
            establishing a poverty line. Of these, the most difficult is getting the prices
            right.  Unless  there  is  some  consistency,  or  code  of  best  practice,  in  the
            methods used, the results of analysts, even using the same underlying data,
            will vary widely and may tell different stories.

            Keywords
            Poverty; Rwanda; adult equivalents; auto consumption

            1.  Introduction
                Less than two decades ago the World Bank published a book by Sandra
            Granzow (2000) entitled: Our Dream: A World Free of Poverty. This has now
            been  firmly  established  as  the  first  and  most  prominent  of  the  UN’s
            Sustainable  Development  Goals,  which  is  to  “end  poverty  in  all  its  forms
            everywhere”, or more concretely, “by 2030, eradicate extreme poverty for all
            people everywhere.”
                The  goal  is  noble  but  determining  when  it  has  been  achieved  will  be
            exceptionally difficult. This is because of the serious problems that arise in
            measuring poverty. As recently as 2016, Angus Deaton wrote,
                Among the most difficult and pressing problems with household surveys
            is the quality of the data; in some cases, the problems are severe enough to
            threaten even the most basic understanding of growth, poverty, and inequality
            (Deaton 2016, p. 1223).
                He notes that the problem is especially serious in Africa, where poverty is
            widespread  but  household  surveys  “are  often  weak,  often  outdated,  …
            sometimes  inconsistent  over  time  within  countries,  have  nonmatching
            definitions … so that it is extremely difficult to assess progress over time, or to
            make comparisons of poverty or inequality between countries” (Deaton 2016,
            p.1224).


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