The new HBS - PowerPoint PPT Presentation

About This Presentation
Title:

The new HBS

Description:

In 2006 the HBS was changed with respect to two major areas characterising ... Chisinau and Balti are now better covered and stratified for low and high income ... – PowerPoint PPT presentation

Number of Views:39
Avg rating:3.0/5.0
Slides: 22
Provided by: clareo2
Category:
Tags: hbs | balti | new

less

Transcript and Presenter's Notes

Title: The new HBS


1
The new HBS
  • Chisinau, 26 October 2007

2
Outline
  • How the HBS changed
  • Assessment of data quality
  • Data comparability
  • Conclusions

3
Key improvements in the HBS
  • In 2006 the HBS was changed with respect to two
    major areas characterising a survey
  • Sampling the way in which the sample is selected
    was changed in the following aspects
  • Sampling frame
  • Sampling design
  • Practice of substitution
  • Questionnaires these were changed to better
    monitor poverty and living standards
  • We first look in detail at changes in sampling
    and then we explain those related to the
    questionnaire

4
An old sampling frame
  • A sampling frame is the basic structure of
    information that is used to draw a sample
    population of different villages, cities and
    lists of households
  • The HBS has been conducted from 1997 to 2005 in
    the same enumeration areas (villages and city
    districts)
  • Such enumeration areas were considered to be
    representative and were selected based on
    population information gathered through the 1996
    electoral lists (the sampling frame)
  • At that time the electoral lists were the best
    information available, better than the 1989
    Census
  • Because of population changes and migration,
    information in the electoral lists was becoming
    increasingly biased, in some villages the list of
    households was exhausted
  • In 2005 the NBS obtained updated and more
    comprehensive information through the 2004 Census
    as well as a database of electricity consumers
  • Therefore, from 2006 both Census and the
    electricity database has been used to select the
    HBS sample

5
Sampling design
  • The sampling design defines the main
    characteristics of the sample number of
    enumeration areas, total number of households,
    country regions for which estimates are reliable
  • Although the sample size in 2006 is the same as
    in 2005, the number of enumeration areas
    increased from 45 to 120, thus ensuring a better
    coverage of the country
  • Until 2005 the sample was designed to be
    representative for three different regions
    cities, towns and rural areas
  • Now the sample is representative not only of
    these three regions, but also of four economic
    zones (North , Centre, Chisinau and South)
  • Chisinau and Balti are now better covered and
    stratified for low and high income areas

6
HBS coverage of Moldova
  • 2005 2006

7
The practice of substitution
  • Until 2005 if a household did not want to be
    interviewed it was substituted with another
    household
  • This created a selection problem households with
    children tend to refuse interviews more than old
    people
  • From the enumerator perspective some households
    are easier to interview and the practice of
    substitution can create some distortions, the
    enumerator may not put all the efforts in trying
    to interview the originally selected households
  • The consequence is that the sample becomes less
    representative proportionally more elderly
    people than in the actual population are
    interviewed and this in turn affects some of the
    key estimates (consumption, income, etc.)
  • From 2006 substitution is no longer allowed and
    enumerators are encouraged to interview only the
    initially selected households

8
Questionnaire improvements
  • In 2004 and 2005 the NBS conducted various
    experiments in order to improve the questionnaire
    design, such experiments guided the changes
    implemented in 2006
  • Questionnaire changes affected the following
    areas
  • Changes in the reference period of some income
    sources and expenditure items
  • Improved layout of the diary (the questionnaire
    booklet that helps the household to record income
    and expenditure transactions)
  • Food expenditure recorded only for half a month
    not the full month
  • Changes in the definitions of employment
    indicators

9
Effects of questionnaire changes
  • Collected information can now be used to produce
    both accurate averages for the National Accounts,
    weights for the consumer price index, and
    distributional data for poverty analysis. In
    particular poverty and inequality data have
    improved
  • There is a reduced household burden for the
    participation to the survey (the household needs
    to spend less time to complete the required
    information)
  • Improvement in the measurement of some key
    statistics (remittances and agricultural income)
  • Employment data are now collected ensuring
    comparability with definitions used in the Labour
    Force Survey

10
Outline
  • How the HBS changed
  • Assessment of data quality
  • Data comparability
  • Conclusions

11
2006 data quality
  • Data quality can be assessed looking at internal
    data consistency, but also through external
    validation
  • Internal consistency
  • Relationship between aggregates, prices capturing
    inflation, etc.
  • External validation
  • Some HBS estimates can be compared to those
    provided by other sources
  • Such comparisons need to take into account
    differences in ways measures are obtained

12
Data validation with external sources
  • Demographic indicators Census
  • Composition by age
  • Household size
  • National income and product accounts
  • Social protection
  • Labour Force Survey
  • Agricultural statistics
  • Lets see some examples

13
Age distribution HBS, Census and demographic
statistics
14
Household size
  • Average household size, including people working
    abroad, is the same in the 2006 HBS and in the
    Census, but in previous HBS was considerably
    lower
  • In 2006 distribution of household size is much
    closer to that of the Census

15
Outline
  • How the HBS changed
  • Assessment of data quality
  • Data comparability
  • Conclusions

16
Comparability issues
  • The changes described earlier (sampling,
    questionnaires) affect the comparability of 2006
    estimates with previous surveys
  • It is not possible to compare 2006 with previous
    estimates
  • Lets make a simple example Assume that you are
    looking at a room from one specific corner
  • This room between 1997 and 2007 has changed
    considerably
  • The perspective that was good in 1997 is no
    longer representative now, some parts of the room
    are no visible
  • In 2006 the perspective has changed and all the
    room became visible again

17
No comparability
  • Although the room is the same, we cannot compare
    2005 and 2006 estimates because 2006 data allows
    us to see part of the room that were not visible
    in 2005
  • This means that if estimates in 2006 are higher
    or lower than those in 2005, we cannot conclude
    that estimates have increased or decreased
  • For example, if the average household size in
    2005 was 2.5 and in 2006 is 3. This does not mean
    that households are now larger than before. The
    part of the room that we did not see before has
    clearly an influence on the new estimate

18
Demographic indicators
  • Household size and type of households

19
Example House types in cities
  • Detached houses in 2006 are included in the
    sample frame they represent 16 of dwellings.
  • In 2005 they appeared to be un-existent (due to
    the old sample frame)

20
Example income and consumption
  • Both income and consumption are now estimated at
    much higher levels than in 2005
  • This is in line with estimates from the National
    accounts

21
Conclusion
  • HBS quality improved substantially and now
    provides data that are more representative of
    Moldova
  • Higher data quality means
  • Better understanding of poverty and its
    characteristics
  • Greater ability to inform policy making and
    monitor policy impact in the future
  • However, 2006 data are not fully comparable with
    previous estimates. The degree of incomparability
    was somewhat unexpected, but we need to consider
    that there was no point in keeping the old design
    if no longer fully representative
  • To make sure that data remains representative,
    villages and enumeration areas will be changed
    over time and the sampling frame will also be
    updated using the electricity database and making
    a household listing of the new selected
    enumeration areas
Write a Comment
User Comments (0)
About PowerShow.com