1. Supporting Poverty Measurement In Europe and Central Asia Cesar Cancho Poverty GP ECA Workshop “Measuring Poverty - Concepts, Challenges and Recommendations” Belgrade, Serbia April 17 th, 2015

2. World Bank engagement Goals 3% extreme poverty in 2030 Boosting shared prosperity (bottom 40%) Key component engagement with countries Living conditions measurement (Poverty GP) Technical Assistance

3. Overview of Areas of Support Survey development New household surveys New technologies Survey quality improvement Sampling issues Data analysis for poverty measurement Survey to survey imputations

4. Survey Development (1) Sample issues Georgia Integrated Household Survey Household Budget Survey Labor Force Survey Support on design of sample Common-core Model consumption for extended LFS sample Advantages Direct mapping labor outcomes – income Continuity living conditions / labor statistics

5. Survey Development (2) New technologies o PAPI : Paper Assisted Personal Interviewing Paper questionnaires and entered, either with a data entry application (CSPro) or scanning and at HQ/regional office. o CAPI : Computer Assisted Personal Interviewing Tablets or PDAs using interactive software Regularly sent to HQ using mobile phone network. o CAFE : Computer Assisted Personal Interviewing Hybrid Data collected on paper Entered in the cluster on laptop and sent electronically to HQ.

6. Survey Development (3) PAPICAFECAPI Not vulnerable to limited electric supply Provides verification – errors can be fixed in the field. Paper questionnaire still exist in case of mishap. Intermediate step Provides final complete data as soon as field work ends Slow – data entry and verification can take months Errors are not discovered until long after – to late for any corrections. Still takes processing time to do double entry. New technology Needs good programmer to be effective Vulnerable to total loss Capital investment No power, no survey Comparability issues

7. Survey Quality Improvement (1) Sampling issues (a) Poverty Rates (b) Consumption distributions

8. (a) Internal Margin (b) External Margin Items collected Non-response rates Survey Quality Improvement (2)

9. Survey Quality Improvement (3) Recommendations […] Strengthen supervision to enumerators by monitoring key variables collected by enumerator (number of items, household size, complex questions), as close as possible to the field work. […] Change the survey weight adjustment procedure for the strata with loss of enumeration districts to a two-step procedure: First adjusting for the loss of households in the enumeration district, and then adjusting for the loss of enumeration district in the strata.

10. Data analysis for poverty measurement (1) Survey to survey imputations HBS-SILC imputations

11. Other analytical tools Labor Income Poverty Poverty Maps Data analysis for poverty measurement (4)

12. Thanks! Хвала! This presentation was prepared with contributions from Minh Nguyen, Osman Kaan Inan, Joao Pedro Azevedo and Kristen Himelein (Poverty GP) Хвала!