2. Introduce your neighbor
Name and work area
What they expect from this training
Something nice

3. SWIFT Training 9:00 - 9:10 Welcome and Introductions
9:10 - 9:30 Session 1: Introduction to SWIFT
9: :30 Session 2: Lecture on SWIFT
10: :45 Coffee break
10: :30 Session 3: Hands-on training on SWIFT
12:30 - 2:00 Lunch break
2:00 - 2:30 Session 4: Lecture on CAPI
Lecture on SWIFT
Modeling for S2S and SWIFT
Explanation on data and programs for hands-on training
Q&A
2:30 - 3:45 Session 5: Hands on training on CAPI
How to create questionnaire in CAPI
Monitoring data
3:30 - 3:45 Coffee break  
3:45 - 4:45 Section 6: How to use SWIFT for your work
4:45 – 5:30 Wrap up

4. Learning objectives
Understand what SWIFT is in technical detail and its diverse uses
Converse in the practical applications of this methodology
Improve your toolkit of poverty measurement techniques

5. What is SWIFT?
SWIFT: Survey of Well-being via Instant and Frequent Tracking
A household survey instrument
Designed for producing welfare indicators in a cost-effective, timely, and user-friendly manner
Can be used to measure the contributions of projects to the TWIN Goals
Implemented in 27 countries (58 surveys)

6. SWIFT in the Poverty GP Part of a new Special Initiative
External and internal partnerships through Front Office
Poverty GP endorsed methodology

7. Both indicators need a welfare indicator (cons/inc) to measure
Why SWIFT?
World Bank Group Twin Goals
End Extreme Poverty (SDG 1.1)
Indicator - The proportion of population living below $1.90 per capita
Target – It will become below 3 percent by 2030
Promote Shared Prosperity (SDG 10.1)
Indicator – Growth rates of mean expenditure of the poorest 40 percent of population
Both indicators need a welfare indicator (cons/inc) to measure

8. Does your project contribute to the Twin Goals?
Probably – but can you show it?
Most World Bank loans and programs do not have means to show it
Welfare (consumption/income) data specific to projects/programs are not available

9. Availability of welfare data in the last 10 years (2002-11)
Welfare Data at the national level are Limited
Availability of welfare data in the last 10 years ( )
Country Level Poverty Statistics are limited
Almost 50% of countries have issues with regular poverty monitoring
57 countries have only one or zero welfare data in 10 years
The situation for project monitoring is even worse
From: Working Policy Paper, Data deprivation: another deprivation to end, 2015

10. Collecting welfare data is very difficult
COSTLY ($1 million or more)
SLOW (>1 year for processing)
COMPLEX – requires expertise and resources

11. The advantages of SWIFT
Traditional consumption survey
SWIFT survey
COSTLY ($1 million or more)
SLOW (>1 year for processing)
COMPLEX – requires expertise and resources
CHEAPER (<1/10th)
TIMELY (<10 min for processing)
USER-FRIENDLY (automated system)

12. How does SWIFT work? SWIFT Survey
SWIFT survey does not collect consumption or income directly
SWIFT collects 15 to 20 simple questions (X) that are highly correlated with household income or expenditure
SWIFT converts responses to the questions to household income/expenditures using a formula
Ĉ=F(X) X

13. New use of ITS
Improved user-friendliness of SWIFT Combining CAPI, Data Cloud and Formula
SWIFT takes advantage of the latest in Information and Communication Technology and recent developments in statistical methods. SWIFT does not collect consumption data, which is very time-consuming and complicated; but collects non-consumption data, which is easily collected, and convert them to poverty and distributional statistics using a formula.
Specifically;
1. Enumerators (or interviewers) ask questions to households using Computer Assisted Personal Interview (CAPI) and enter responses into tablets and/or smart phones.
2. Enumerators (or interviewers) upload the data into the data cloud. Third, analysts in the team download the data from the data cloud into their computers anywhere in the world.
3. Analysts produce poverty, inequality and shared prosperity indices using a simple program.
The SWIFT team provides the CAPI questionnaire and the formula so that users can focus on data collection.
CAPI

14. Current status of SWIFT projects
SWIFT project was launched in June 30, 2015
50+ SWIFT surveys in 27 countries are currently under implementation or completed
SWIFT training in Ghana, Ethiopia, DRC, Haiti, Sao Tome, Nigeria, Caribbean islands among others

15. Current portfolio outlook

16. Data uses for SWIFT Project monitoring Supplementing data gaps
Helping project teams generate specific data
Supporting project preparation and targeting
Reduces guess work
Supplementing data gaps
Updating poverty numbers in years of no official data
Collecting data for previously excluded segments
Amplifies the usefulness of HBS data

17. SWIFT engagement steps
Review existing data for survey countries
Check existing country data and build model
Hiring survey firm and consultants (if required)
Draft TOR for all consultants/Firms required
Begin procurement process
Draft questionnaire
Combine sector and SWIFT questions into one
Programming into CAPI
Test CAPI and SurveyCTO
Contracting of survey firm
Kick-off of survey implementation
Training of local survey firm
Pilot data survey
Data collection
Data cleaning
Data analysis and reporting

18. How has SWIFT been used? Study of DRM in Ghana
Collaboration of SWIFT and GP SURR under GFDRR
Surveyed urban slums in Accra for exposure to flooding
DRM questionnaire with SWIFT component
Join project design, implementation and reporting

19. How has SWIFT been used? Study of energy affordability in Bangladesh
Collaboration of SWIFT and Energy team
Used CATI survey method
Telephone interviews save transportation costs
Tablets improve the quality of data and monitor it in real time
A sample size of 1,500 households were collected and processed in two months
An average cost per household was $5.8 only (SAR ~$50, AFR ~$300)

20. SWIFT is important for poverty economists
Attracts additional budget from other sectors
Offers valuable research and publishing opportunities
Improves technical profile of poverty economists
Raises profile with CMU and other units

21. Coming next: SWIFT in practice