Thilo Klein Analyst, PARIS21 Secretariat

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1 Thilo Klein Analyst, PARIS21 Secretariat

2 Annual estimates for 77 IDA countries Costs: $1bn Resources: $600m Funding gap: $400m Source: UN SDSN et al. (2015) A Needs Assessment for NSDS Monitoring 2

3 2015 PRESS Report: $450m commitments in 2013 Down by $120m from 2012 and 2011 Source: PARIS21 (2015). Partner Report on Support to Statistics. 3

4 The challenge Moving from 8 MDGs to 17 SDGs, 169 targets when e.g. MDG #5.1 data only available for 11% and funding gap equals current support to stats. The question Who will pay for this? How can we still deliver? 4

5 1. Public-Private-Partnerships for mobile metadata 2. Household surveys using mobile devices 3. Systematic cost-benefit analysis of new methods 5

6 1. Public-Private-Partnerships for mobile metadata 6

7 Projects by type of data source Feature that indicator improves on Mobile phone data Satellite imagery data Other social networks Web data Scanner data Twitter data Frequency Disaggregation Validity Bias correction Financial transaction 11 Facebook data 8 Sensor data 6 Smart meter data Source: PARIS21 et al. (2015). Global Survey on Big Data projects for SDGs. 7

8 Partners: Orange/Sonatel, ANSD Senegal Hypothesis: mobile phone user behaviour reveals socio-economic characteristics Approach: re-build survey data with model using call logs estimate literacy level on monthly basis consistency check with survey results Call logs: location (antenna +/- 2km), time, emitter and receiver (identifiers) 8

9 Model validation for literacy rates Model results How we see it: How we could see it: Source: Bruckschen et al. (2015). Cookbook for a socio-demographic basket: Constructing key performance indicators with digital breadcrumbs. 9

10 Related examples Positium, Estonia Premise Data Challenges Methodological issues Privacy and confidentiality Business models Workshop on New Data Sources for Official Statistics, December at OECD, Paris 10

11 2. Household surveys using mobile devices 11

12 Paper-based data collection: $230k 35k 5k 146k 18k 10k 16k Print & binding Transport Data processing Office for processing Data collection with Android tablets: $96k 12k 9.5k 62k 12k Desktops for processing Supervisors for processing Tablets Replacement & peripheral Training & TA Equipment field supervisor 12

13 Survey cost by cost components based on 10- year survey programme for 77 IDA countries 2xDHS, 2xMICS, 2xLSMS, 10xLABOR, 2xAG, 2xM&E 50% 40% 30% 20% 10% 0% 16% 17% 4% 40% 22% 2% Personnel Transport Training Total TA Admin/Other Data processing Fieldwork Source: PARIS21 (2015). Costing National Survey Programs. In: UNSDSN, A Needs Assessment for NSDS Monitoring,

14 Cost-savings potential: 2% per survey or 3 millions annually for all 77 IDA countries Benefits difficult to quantify: Tablets: data quality, monitoring of enumerators, language, quicker turnaround, Paper-based: no initial investments 14

15 3. Systematic cost-benefit analysis of new methods 15

16 An online-tool to plan and cost data collections Functionality 1. Consult Partners: Bring together key sectors in virtual space -- National Monitoring Log Frame. 2. Cost Collections: Use a cost data base to estimate cost of data collections 3. Compare Scenarios: keep track of cost/benefit of innovations 4. Chart: Provide outputs to annex the NSDS 16

17 An easy to update online National Log Frame of indicators: 17

18 Manage all costs in one data base Per unit costs of key inputs Assign as operational, institutional and technical assistance Assign indicators to data collection activities and estimate costs 18

19 Consider different approaches to data collection and make informed decisions on innovations 19

20 Produce useful planning charts and share data collection events; cash flow statements etc. 20

21 Visualise cash flow, so government and donors see where funding gaps exist. 21

22 New technologies to deliver on SDGs abound Need to compare and justify initial investments NSDS Data Module: An online-tool to plan, cost and compare data collection methods 22

23 PARIS21 Secretariat OECD/DCD 4 Quai du Point du Jour Boulogne-Billancourt, France contact@paris21.org twitter.com/contactparis21 facebook.com/contactparis21 youtube.com/paris21oecd

24 Bruckschen et al. (2015). Cookbook for a socio-demographic basket: Constructing key performance indicators with digital breadcrumbs. Chen et al. (2014). Towards a Post-2015 Framework that Counts: Developing National Statistical Capacity, PARIS21 Discussion Paper #1. PARIS21 (2015). A Road Map for a Country-led Data Revolution. PARIS21 (2015) Partner Report on Support to Statistics. UNSDNS et al. (2015). A Needs Assessment for SDG Monitoring and Statistical Capacity Development. 24

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