Transcript measuring living standards from budget surveys Andrew Newell, University of Sussex TNA-Sussex Teacher-Scholar Scheme Autumn 2012

measuring living standards from
budget surveys
Andrew Newell, University of Sussex
TNA-Sussex Teacher-Scholar Scheme
Autumn 2012
TNA-Sussex Teacher-Scholar Scheme Autumn 2012
• What produces a particular standard of living?
• Suggest: include everything that contributes to the wellbeing (physical, intellectual, emotional) of a household
• I nominate four groups of inputs:
• (1) the skills and energy of those who work towards
providing for that well-being
• (2) the time they use in that provision
• (3) the resources employed, both the non-durable goods
and services (e.g. food, fuel, medicines, visits to the
dentist, bus journeys) and the durable goods (e.g.
dwellings and transport equipment)
• (4) external/environmental resources (everything else)
• We will see that (1) skills and energy and (4) external
resources are almost never measured, to my knowledge, in
standard budget surveys. Time spent working (2) around
the home is very rarely measured, though there are some
Time Use surveys....
TNA-Sussex Teacher-Scholar Scheme Autumn 2012
• What we use, in the main, are household budget surveys.
These are surveys that collect data on income, expenditures
and other household characteristics over a period of time,
from a large number of households, using a common
questionnaire.
• A little history: The collection of budget data from working
class households was increasingly practised through the 19th
century. Here is a really interesting paper that reviews
progress in the field at the end of that century:
Henry Higgs, Workmen's Budgets, Journal of the Royal Statistical
Society, Vol. 56, No. 2 (Jun., 1893), pp. 255-294.
• In the paper, Higgs contrasts the extensive method of enquiry,
by which he means household budget surveys, with
necessarily limited questionnaires, with the intensive study
methods of the French pioneer le Play.
• Wiki link Pierre Guillaume Frédéric le Play
TNA-Sussex Teacher-Scholar Scheme Autumn 2012
• le Play would take a typical family and then ‘live in it or
near it for some weeks, closely examining its receipts and
expenses, its capital and mode of life, and describing it with
the same care and interest which scientists have lavished
upon ants and plants’ (Higgs, p262).
• One of the points Higgs emphasises how the intensive
method of le Play can be used to illustrate the importance
of skill and effort, or in his terms, ‘good housewifery’
(p269), in contrast to standard survey methods, which have
never tried to capture this.
• Large-scale surveys have many uses, though, and one of the
uses to which budget surveys have been put ever since, is
to create weights for a cost-of-living price index. Indeed this
was one of the main purposes of our 1904 and 1937-8
surveys (more on this below)
TNA-Sussex Teacher-Scholar Scheme Autumn 2012
• Budget surveys can give us an impression of the distribution across
households of measures, such as income or total expenditure that
are strongly, but not perfectly correlated with most other possible
measures of living standards. However, the collection of reliable
data on income or expenditure is not straightforward.
• Issue 1, should we use estimates of income (potential resources),
expenditure or consumption?
• Income. The amount of money received during a period of time in
exchange for labour or services, from the sale of goods or property,
or as a profit from financial investments.
• Expenditure. Money or credit payments to obtain goods or services.
• Consumption. Final use of goods and services, excluding the
intermediate use of some goods and services in the production of
others. Includes a valuation for capital services, e.g. Imputed rent
for owner-occupied dwellings.
• So consumption is nearest to (3), but estimation of the ‘rental
value’ of capital goods induces estimation errors.
TNA-Sussex Teacher-Scholar Scheme Autumn 2012
• The choice boils down to ease and accuracy of data collection.
Income and expenditure data are both difficult to collect
comprehensively and accurately.
• In economically developed countries, in which a large proportion of
the population works in the formal sector and in which expenditure
patterns are very complex, the balance often tips in favour of
measuring income rather than consumption.
• Even so, these surveys often have considerable problems dealing
with self-employment, informal economic activities, and a perhaps
understandable reluctance to disclose information on income to
survey enumerators. It is also important that the question is asked
the right way, distinguishing , for instance regular income from
actual income, which might differ due to overtime payments,
sickness etc.
• In developing countries, formal employment is less common, many
households have multiple and continually changing sources of
income, and home production is more widespread. In these
contexts, it is generally more reliable to data on consumption than
income or expenditures, which would exclude the value of home
production and may include spending generated by entrepreneurial
activity.
TNA-Sussex Teacher-Scholar Scheme Autumn 2012
• Lastly, attempts to gather data on quantities of goods
purchased, rather than expenditures, have largely been
abandoned. The 1904 and 1953-4 surveys did ask for
quantities, but, especially by 1953-4, the massive variety of
measures: ‘a tin’ ‘a bottle’ ‘a packet’ etc, renders these
measures very hard to standardise for comparison.
• Proxy measures. Given the difficulties of collecting income,
expenditures and quantities, some investigators have
sought to estimate standards of living from some easily
detectable household characteristics. For instance, I’ve
seen surveys of rural villages in developing countries where
the standard of living measure is derived from answers to
questions such as ‘do the family have a radio?’ How many
bicycles does the family own?’ ‘Is the roof of the house
made of metal?’ The answers can be combined to give the
household a standard of living score.
TNA-Sussex Teacher-Scholar Scheme Autumn 2012
TNA-Sussex Teacher-Scholar Scheme Autumn 2012
• Adjusting for family size. The simplest was to make an adjustment
is to divide by the number of people in the household, creating, for
instance, a measure of income per capita.
• The obvious objection to a per capita measure is that children in
particular and perhaps adults by age, gender and activity level, have
different needs, especially for food. Also some household goods
and services are ‘non-rival’. (heating is an example: with an open
fire, me being warm does not stop you getting warm), so large
families benefit from such economies of scale.
• The alternative to a per capita measure, that can get around the
first objection, but not necessarily the second is to use an adult
equivalence scale. These have a long history. Many early
researchers realised that costs differ between children and adults.
Bowley’s 1912-13 study of Northern Towns assumed a child aged
under 6 costs 44% of an adult; children aged 6-13 cost 60% of an
adult and those aged 14-16 cost 91% of an adult.
• The modern approach is to estimate an equivalence scale from the
survey data. I can dig deeper into this if it is of interest. The World
Bank Living Standards Measurement Study website has a mass of
great resources on these topics
TNA-Sussex Teacher-Scholar Scheme Autumn 2012
• A histogram of per equivalent adult income in the
1904 survey showing the proportion of families with
incomes below Bowley’s poverty line of (roughly 5
shillings per equivalent adult)