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Quantitative data collection on the status of Roma in SEE and CEE: Methodology, Purpose, and Policy Application. Susanne Milcher Specialist, Poverty and Economic Development UNDP Regional Centre Bratislava (17 September 2004). Outline. General problems with ethnic data

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Quantitative data collection on the status of Roma in SEE and CEE:Methodology, Purpose, and Policy Application

Susanne Milcher

Specialist, Poverty and Economic Development

UNDP Regional Centre

Bratislava

(17 September 2004)

outline
Outline
  • General problems with ethnic data
  • The baseline survey methodology
  • Policy application
  • Future steps
problems with relevant data
Problems with relevant data
  • Governments reluctant to collect
    • Political considerations
    • Constitutional constraints
  • Constituencies reluctant to share
    • Desire to avoid discrimination and stigmatization
    • Desire to keep distance from the state

As a result:

  • Opportunities to misuse and misinterpret data deficits
  • But all aware that data is necessary
undp approach to the issue
UNDP approach to the issue

Reliable quality quantitative data is a necessary

precondition for relevant policies. It means data,

which is:

  • Relevant, adequately reflecting reality
  • Comparable – both between countries and with majority populations (control group) in individual countries – over time
  • Respecting privacy – making sure will not be misused, individual is protected against discrimination
how to get there the survey
How to get there? The survey
  • Problems are of technical, methodological and legal nature and specific problems require specific approaches
  • Clear division of roles between international and national actors necessary in the short, mid and long run (phase-out strategy)
  • Link to MDGs monitoring (baseline)
how to get there
How to get there?
  • Relevancy – related primarily to communities involvement in data collection (Roma interviewers where possible, assistant interviewers in other cases)
  • Comparability – applying consistent methodologies in different countries following the format HBS and LFS
  • Include majority boosters
  • Respecting privacy – not using registry data
previous experience
Previous experience
  • Regional UNDP/ILO large scale survey on Roma in five Central and Eastern European (CEE) countries conducted in 2001
  • Situation of Roma from a ‘human development’ perspective
  • “How much” worse and specific characteristics of their status
  • Answering these specific and concrete questions in quantitative figures is a necessary precondition both for understanding the underlying causes and addressing them adequately
the survey i
The survey I
  • Supposed to provide base-line data for the “Decade” progress monitoring and for NTL policy purposes
  • Covers all countries in SEE and CEE with sizeable Roma minorities (“Decade +”)
  • Where relevant, has IDPs and refugees boosters
  • Will be the basis of a “regional vulnerability report”
  • Could be used as a pilot for similar data collection exercises in the region
the survey ii
The survey II
  • The unit of analysis – household
  • Main interviewee – head of the household
  • Universe studied – households in Roma settlements
  • Roma settlements – municipalities or neighborhoods with high concentration of Roma
  • Territorial unit – municipalities with share of Roma population equal or above the NTL average as registered by the census
the sampling model assumptions
The sampling model assumptions
  • Census understate absolute numbers but reflect the structure and distribution (“where those people are?”)
  • The major disparities visible at the level of municipalities
  • Comparability with the “majority in proximity” more important than with national average
  • Majority boosters – a “benchmark” sample for comparisons with non-Roma in similar socioeconomic environment
inevitable impediments
Inevitable impediments
  • Sample may be under-representing integrated Roma
  • Majority population in proximity may not be sufficient for constructing a booster
  • Concentrated Roma neighborhood may still constitute a share lower than the NTL average
  • Data not representative for sub-grouping
what shall the survey provide
What shall the survey provide?
  • Household representative information, “census-type” allowing approximations for
    • Poverty rates and depth
    • Levels and sources of income
    • Educational attainment, completion rates, enrollment rate and functional literacy
    • General picture of health status and access to health services
    • Dwellings characteristics (water, sanitation) for deprivation indicators
  • All this - disaggregated by age, sex, income status of the household and sub-national level
dose of realism the inevitable constraints
Dose of realism (the inevitable constraints)
  • Not all indicators are possible to be monitored or disaggregated
  • Data (as any data perhaps) – still approximation and should be used as complementary to other statistics
  • Cross-country comparability will be limited (if necessary at all)
time frame
Time-frame
  • Completed sampling methodology and questionnaire
  • August/September – translating, back translation and testing of the questionnaire; sampling
  • End of August: identification of assistant-interviewers and first training (Sofia)
  • October: field-work
  • November: data available
  • First quarter 2005 “Vulnerability Assessment”
policy application
Policy application
  • Only based on quantitative data can the actors involved (governments, donors, implementing partners) outline priorities and measure progress
  • Disaggregated quantitative data is a precondition for relevant national-level policies for sustainable inclusion of vulnerable groups and Roma in particular
  • Monitoring and evaluation of national-level policies, what impact has been achieved?
future steps and possible cooperation
Future steps and possible cooperation
  • Improve methodologies for vulnerability analysis to establish disaggregated data collection capacities at the country level in 2-3 years
  • Work with National Statistical Offices on practical projects on data disaggregation
  • Elaborate possible approaches to overcome legal barriers
  • Encourage and coordinate advocacy campaign for new approach to “group-related” data, incl. ethnic groups
links to other roma related initiatives
Links to other Roma-related initiatives
  • Follow up to first regional report“Avoiding the Dependency Trap”
  • Decade of Roma Inclusion baseline and monitoring
  • Measuring the progress at national level (Czech Republic and Hungary)
  • WB “Living Standards” assessment
  • Roma Development Opportunities Web-site, http://roma.undp.sk
thank you
Thank you!

Bratislava Regional Center

35 Grosslingova

81109 Bratislava, Slovak Republic

+421 2 59337 111

www.undp.sk

http://roma.undp.sk

http://mdgr.undp.sk

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