Technical Assistance Report. Data for Development. Project Number: Knowledge and Support Technical Assistance (KSTA) August 2017

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1 Technical Assistance Report Project Number: Knowledge and Support Technical Assistance (KSTA) August 2017 Data for Development This The views document expressed is being herein disclosed are those to of the the public consultant in accordance and do not with necessarily ADB's Public represent Communications those of ADB s Policy members, Board of Directors, Management, or staff, and may be preliminary in nature.

2 ABBREVIATIONS ADB Asian Development Bank DMC developing member country ERCD Economic Research and Regional Cooperation Department ERDI Development Economics and Indicators Division MDG Millennium Development Goal NSS national statistical system NSO national statistics office SAE small area estimation SDG Sustainable Development Goal TA technical assistance UNESCAP United Nations Economic and Social Commission for Asia and the Pacific UNSD United Nations Statistics Division NOTE In this report, "$" refers to United States dollars unless otherwise stated. Vice-President Chief Economist and Director General Director Team leader Team members B. Susantono, Knowledge Management and Sustainable Development Y. Sawada, Economic Research and Regional Cooperation Department (ERCD) R. Hasan, Development Economics and Indicators Division, ERCD A. Martinez, Jr., Statistician, ERCD M.J. Mariasingham, Statistician, ERCD I. Sebastian, Economics and Statistics Officer, ERCD C. De Dios, Associate Economics and Statistics Analyst, ERCD A. Gatson, Senior Operations Assistant, ERCD In preparing any country program or strategy, financing any project, or by making any designation of or reference to a particular territory or geographic area in this document, the Asian Development Bank does not intend to make any judgments as to the legal or other status of any territory or area.

3 CONTENTS KNOWLEDGE AND SUPPORT TECHNICAL ASSISTANCE AT A GLANCE Page I. INTRODUCTION 1 II. ISSUES 1 III. THE TECHNICAL ASSISTANCE 2 A. Impact and Outcome 2 B. Outputs, Methods, and Activities 2 C. Cost and Financing 3 D. Implementation Arrangements 3 IV. THE PRESIDENT'S DECISION 5 APPENDIXES 1. Design and Monitoring Framework 6 2. Cost Estimates and Financing Plan 9 3. List of Linked Documents 10

4 Project Classification Information Status: Complete KNOWLEDGE AND SUPPORT TECHNICAL ASSISTANCE AT A GLANCE 1. Basic Data Project Number: Project Name Data for Development Department ERCD/ERDI /Division Nature of Activity Capacity Development Executing Agency Modality Regular Country REG Asian Development Bank 2. Sector Subsector(s) ADB Financing ($ million) Public sector Economic affairs management 0.70 management Information and communication technology ICT strategy and policy, and capacity development 0.30 Total 1.00 qq 3. Strategic Agenda Subcomponents Climate Change Information Inclusive economic Pillar 2: Access to economic Climate Change impact on the growth (IEG) opportunities, including jobs, made Project qq Regional integration (RCI) more inclusive Pillar 4: Other regional public goods 4. Drivers of Change Components Gender Equity and Mainstreaming Governance and capacity development (GCD) Client relations, network, and partnership development to partnership driver of change Some gender elements (SGE) Knowledge solutions (KNS) Knowledge sharing activities qq 5. Poverty and SDG Targeting Location Impact Geographic Targeting Yes Regional Household Targeting No SDG Targeting Yes SDG Goals SDG1, SDG2, SDG3, SDG4, SDG5, SDG6, SDG7, SDG8, SDG9, SDG10, SDG11, SDG12, SDG13, SDG14, SDG15, SDG16, SDG17 Qq 6. Risk Categorization Low Qq 7. Safeguard Categorization Safeguard Policy Statement does not apply qq 8. Financing Modality and Sources Amount ($ million) ADB 1.00 Knowledge and Support technical assistance: Technical Assistance 1.00 Special Fund Cofinancing 0.00 None 0.00 Counterpart 0.00 None 0.00 Total 1.00 qq Qq Low High Source: Asian Development Bank This document must only be generated in eops Generated Date: 21-Jul :12:55 PM

5 I. INTRODUCTION 1. The proposed knowledge and support technical assistance (TA) is designed to strengthen the capacity of national statistics offices (NSOs) in Asia and the Pacific to meet the increasing data demands for policy making and monitoring of development goals and targets. It will focus on three important areas: 1 (i) subnational disaggregation of the Sustainable Development Goals (SDGs), 2 (ii) enhanced compilation of national accounts and other key economic indicators, and (iii) provision of strategic inputs for the modernization of national statistical systems (NSSs) to inform policy design and statistical capacity-building initiatives of the global statistical system. 2. The proposed TA, which is part of the approved 2017 work plan of the Economic Research and Regional Cooperation Department (ERCD) of the Asian Development Bank (ADB), 3 is linked to the Cape Town Global Action Plan for Sustainable Development Data and draft framework of ADB s Strategy Strategy 2030 s strategic business areas section includes supporting SDGs as a priority under social sector operations. 5 II. ISSUES 3. The Millennium Development Goals (MDGs) set forth specific, time-bound, and quantified targets. The MDGs (i) were useful in assessing how economies of the world fared in addressing extreme poverty in its many dimensions; and (ii) helped focus development efforts and interventions on countries that fell short of specific development targets, resulting in significant gains in most parts of the world. However, the widening gap between the rich and poor in many countries suggests that some socioeconomically vulnerable groups have not experienced such gains. With the goal of ending all forms of poverty, the SDGs aim to build on the success of the MDGs by promoting development among vulnerable groups. 4. Although the data collected for MDG monitoring allowed tracking of how countries fared in terms of different social and economic indicators relative to other countries, they provided limited empirical evidence on which segments of a country s population experienced significant progress or lagged in terms of the MDGs. This is problematic because there are limited data to guide the design of intervention programs meant to appropriately target the socioeconomically vulnerable. In response, the 2030 Agenda for Sustainable Development has pledged that no one will be left behind, calling for the development of SDG indicators for different subpopulation groups based on income class, gender, ethnicity, geographic location, and other relevant dimensions. Quality, accessible, timely, and reliable disaggregated data are needed to identify subgroups of the population that were left out with respect to specific SDG targets. 5. In addition to indicators included in the SDG, more disaggregated data on economic transactions by industry and product are needed to better understand the production, consumption, and trade structures of a globalizing world. Compilation of such disaggregated economic indicators requires regular estimation (following the 2008 System of National Accounts) 1 United Nations Statistics Division (UNSD) Report of the Secretary-General on statistical capacity building at the 48 th Session of the United Nations Statistical Commission. New York. 2 United Nations Transforming our world: the 2030 Agenda for Sustainable Development. 3 The TA first appeared in the business opportunities section of ADB s website on 5 July UNSC Cape Town Global Action Plan for Sustainable Development Data. Cape Town. sdgs/ hlg/cape-town-global-action-plan/ 5 ADB Framework for Strategy Manila (25 January).

6 2 of high-quality national accounts statistics and supply and use tables. 6 Further, many developing member countries (DMCs) require standard accounting frameworks detailing the links between economic activities and social and environmental consequences to illuminate policy issues and to track the progress towards several SDGs. 6. NSOs and other public entities play a critical role in the production and dissemination of official statistics. The statistics are usually compiled using conventional sources, including sample surveys, censuses, and administrative sources. The rise of innovative data sources such as big data allows for more inclusive and networked problem solving. 7 However, many DMC NSOs require critical and specific TA in developing or enhancing technical skills and infrastructure for producing and disseminating data using conventional and innovative sources. III. THE TECHNICAL ASSISTANCE A. Impact and Outcome 7. The TA is aligned with the following impact: improved data monitoring for evidence-based policy making and public sector management. The TA will have the following outcome: strengthened capacity of NSOs to provide relevant disaggregated data for policy design and targeted interventions to support vulnerable groups. 8 B. Outputs, Methods, and Activities 8. Output 1: Technical manual on disaggregation of official statistics, knowledgesharing workshops, and case studies on various applications of innovative data analytics for disaggregation of select Sustainable Development Goal indicators. The TA will facilitate a series of strategically designed training workshops and course modules on disaggregation of official statistics and SDG indicators targeted to NSOs of about 10 DMCs. Initially, the project team will prepare a manual that will take stock of various methods of small area estimation (SAE). 9 The manual will also cover (i) ways of using innovative data sources, e.g., satellite images, mobile data, or social media data to produce disaggregated data for official statistics; and (ii) relevant issues related to the use of these data. 10 The project team will use the results of these activities to carefully design the conferences, training workshops and course modules. Lastly, two country case studies on a specific policy-relevant issue showcasing specific applications of SAE and innovative data analytics to disaggregate select SDG indicators will be prepared. 9. Output 2: Targeted knowledge-sharing workshops and training on enhanced compilation of national accounts and other economic indicators. The project team will 6 The System of National Accounts refers to the internationally agreed standard set of recommendations on how to compile various measures of economic activity. The supply and use table is a statistical table that summarizes the relationship between inputs, outputs, product supply, and demand across different economic sectors. (UNSD System of National Accounts New York. 7 Big data generally refer to the type of data arising from people s digital transactions with computers, social media, mobile phones, photos, satellite images, sensors, and other types of digital technology. 8 The design and monitoring framework is in Appendix 1. 9 SAE is a class of statistical techniques that are designed to provide reliable estimates of specific characteristics of subpopulation groups with small sample sizes in surveys. 10 Existing applications of big data are useful in disaggregating official statistics that are traditionally produced using conventional data. For example, daytime satellite images of houses roofs have been used to estimate village-level poverty rates in African countries. In other countries, satellite images of nighttime lights have been used to estimate the magnitude of economic activity (e.g., gross domestic product) and population size at more granular levels. Mobile phone records have been used to derive local-level estimates of migration and access to financial services.

7 3 provide technical training programs on compiling and analyzing components of the national accounts that are critical to the sustainability and development of the economic statistical systems of selected DMCs. The project team will provide training programs and knowledge-sharing workshops to NSO staff on (i) instituting and operationalizing statistical business registers (the specialized infrastructure required for the production and analysis of multisourced economic data feeding into national accounts); (ii) producing high-quality statistics and analysis on economies participation in international production-sharing arrangements or global value chains; and (iii) developing a suite of (a) innovative socioeconomic data compilation and analysis frameworks comprised of extended supply and use tables, (b) extended input output tables, and (c) social accounting matrixes, which facilitate static and dynamic analysis and impact and policy analysis of the economy and its interaction with the environment and society. 10. Output 3: High-level regional conference and workshops in preparation for the updating of the Handbook of Statistical Organizations. The TA will finance a conference and/or other workshops to be organized for high-level dialogues with senior management of selected NSOs in Asia and the Pacific and leading experts on thematic areas such as (i) quality, communication, and partnership; (ii) statistical architecture for an integrated production system; (iii) information technology; (iv) capacity building; and (v) resource mobilization relevant to the operation and organization of NSSs. Similar conferences and workshops are planned in other regions of the world, which will be supported by other regional and international agencies. The thematic conferences will serve as forums for in-depth discussions and provide comprehensive inputs to the updating of the Handbook of Statistical Organizations, which will be undertaken by the United Nations Statistics Division (UNSD) Output 4: Working paper and/or policy notes identifying other methodological and substantive areas where developing member countries national statistical systems capacity needs to be strengthened. Modernizing NSSs will entail numerous enhancements to the existing operational framework of NSOs and other government agencies with data collection functions. The first three outputs of this TA will address only a few of the immediate priorities of DMC NSOs, so commitment from international development organizations to strengthen the capacity of NSSs is imperative. The TA presents an opportunity to explore how ADB can facilitate continued engagement and collaborative statistical work with NSOs in Asia and the Pacific. C. Cost and Financing 12. The TA is estimated to cost $1,000,000, which will be financed on a grant basis by ADB s Technical Assistance Special Fund (TASF 6). The key expenditure items are listed in Appendix 2. D. Implementation Arrangements 13. ADB, through its Development Economics and Indicators Division (ERDI) of the ERCD, will be the executing agency for this TA. ERDI will work closely with relevant ADB departments, including the (i) Department of External Relations regarding workshops and trainings and the publication of knowledge products; (ii) Office of Information Systems and Technology regarding procurement of equipment, software, and other needs of the TA related to information technology; 11 The updating of the Handbook (which outlines the general principles of the operation and organization of a statistical agency) and conferences for NSO senior staff are in line with the United Nations Statistical Commission s strategies in relation to the provision of strategic guidance to (i) achieve more modern, integrated, and coordinated NSSs; and (ii) ensure that there is a standards-based architecture that allows for more effective response to the SDGs data requirements.

8 4 (iii) Sustainable Development and Climate Change Department; (iv) Strategy, Policy and Review Department (as focal point of the SDGs) regarding TA activities to promote synergy with existing SDG-related initiatives of other ADB departments with other regional and international agencies; and (v) regional departments. Aspects Indicative implementation period Executing agency Implementing agency Consultants Procurement Disbursement Table 1: Implementation Arrangements Arrangements September 2017 March 2021 ADB ERDI and select NSOs a To be selected and engaged by ADB International consultant for small area 3 person-months $43,000 estimation International consultant for big data 3 person-months $43,000 International consultant for regional 1 person-month $31,000 conferences and workshops International manuscript editor 1 person-month $10,500 National economists or statisticians 35 person-months $147,000 National research analysts 114 person-months $200,000 Resource persons 1 person-month $10,500 To be procured by ADB following ADB s Procurement Guidelines (2015, as amended from time to time). Single source (direct contracting) 2 contracts b $20,000 Shopping 4 contracts b $35,000 The TA resources will be disbursed following ADB's Technical Assistance Disbursement Handbook (2010, as amended from time to time). ADB = Asian Development Bank, ERDI = Development Economics and Indicators Division, NSO = national statistics office, TA = technical assistance. a NSOs will be the main implementing agencies of the country-specific studies described under output 1 and activities described under output 2. For all other activities, ERDI will be the implementing agency. b The number of contracts is estimated. Contracts can take the form of a written agreement or data user agreement between ADB and selected NSOs of participating developing member countries and other private entities. ADB s Office of Information Systems and Technology will be consulted on the procurement of equipment and/or software. Source: ADB. 14. ERDI will implement all activities relating to knowledge-sharing workshops, training, and preparation of technical reports under the TA while the NSOs will be the national implementing agencies for all country-specific case studies under output 1 and activities under output No activity will be financed in any participating DMC unless a no-objection letter is obtained from the DMC government. 13 The project team will undertake the overall implementation of activities under 12 The project team will explore possible collaboration with experts from Pulse Lab Jakarta, Statistics Korea, UN Global Pulse, United Nations Development Programme, UNSD, UNESCAP, the World Bank, and other development partners. Specifically, the project team may invite experts from these agencies as resource persons. The project team will also explore the possibility of joint publications with these organizations. If this planned collaboration were to evolve into a knowledge partnership, the staff instruction on business processes for knowledge partnerships under TA operations will be followed. 13 In addition to no-objection letters, ADB and the participating DMCs will sign a framework of partnership, which is a nonlegal yet formal document that outlines the detailed roles and responsibilities of ADB and participating DMCs, and the schedule of key milestones and activities. A draft framework of partnership will be provided to ADB s Office of the General Counsel and other relevant departments for review prior to signing by both parties. For output 1, the choice of NSOs will based on the following criteria: NSO should (i) be currently developing SDG data compilation framework, which identifies disaggregation of select SDG indicators as one of its core priorities; (ii) have access to relevant micro-level records of survey, census, administrative data, and/or a specific type of innovative data source that are either publicly accessible or can be made accessible to the TA; and (iii) have a dedicated pool of staff who can be trained in the use of SAE techniques and innovative data sources, and who preferably have experience on related initiatives such as poverty mapping. The same set of criteria applies to the selection of NSOs for output 2.

9 5 output 3 in close collaboration with the UNSD, which is responsible for updating the Handbook of Statistical Organizations, and with regional partners such as the United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP), and countries in the region. 14 The project team will implement all TA activities from September 2017 to March Under outputs 1 and 2, each participating economy that will conduct country-specific case studies will be required to identify a national coordinator who will be responsible for implementing the scheduled activities at the country level in accordance with the approved schedule of activities. The ADB project team will undertake periodic reviews of progress and necessary interventions in the form of technical and operational advice that will be provided on an ongoing basis. The ADB project team will also conduct biannual workshops with project staff of all participating economies to review progress of data collection, methodological development, and identification of data quality issues. 16. Consulting services. The TA will finance 157 person-months of consulting services (8 person-months international and 149 person-months national) and one person-month of resource person inputs. ADB will engage the consultants on an individual basis in accordance with the Guidelines on the Use of Consultants (2013, as amended from time to time). 15 Lump sum payments and output-based contracts will be considered for consulting services. 17. ADB s procurement. Procurement of equipment, computer hardware, and software will follow ADB's Procurement Guidelines. Equipment purchased will comply with Administrative Order 4.02 under ADB s 2008 Asset Management and Inventory Control on Accountability of Assets Purchased under TA. 16 The disposal and/or turnover of procured equipment will follow the procedures as per relevant project administration instructions. Disbursements under the TA will be done in accordance with ADB s Technical Assistance Disbursement Handbook (2010, as amended from time to time). The TA requires use of micro and macro data; these will be procured from DMC agencies, other research institutions, and private firms through the single-source selection method. For equipment such as laptop computers and software, procurement will use the shopping method. 18. Social media and websites. ERDI will develop a publicly accessible website that will serve as a central repository for all its statistical capacity initiatives. Online training modules and other training materials produced through the TA will be uploaded to this website. ERDI will maintain the website in close coordination with the Department of External Relations and the Office of Information Systems and Technology. IV. THE PRESIDENT S DECISION 19. The President, acting under the authority delegated by the Board, has approved the provision of technical assistance not exceeding the equivalent of $1,000,000 on a grant basis for Data for Development, and hereby reports this action to the Board. 14 All regional events to be conducted as part of output 3 will be implemented in collaboration with DMCs, the UNSD, regional agencies such as UNESCAP, partners of the memorandum of understanding group on statistical activities of the multilateral development banks which comprises the African Development Bank, ADB, Inter-American Development Bank, International Monetary Fund, Islamic Development Bank, World Bank and the United Nations. The objective of this group is to enhance collaboration in strengthening the statistical capacity of Member States. 15 The consultants should be experts in big data analysis, SAE, or social and/or economic statistics compilation. Terms of Reference for Consultants are accessible from the list of linked documents in Appendix ADB Asset Management and Inventory Control. Administrative Orders. AO Manila.

10 6 Appendix 1 DESIGN AND MONITORING FRAMEWORK Impact the TA is Aligned with: Improved data monitoring for evidence-based policy making and public sector management. Results Chain Outcome Strengthened capacity of NSOs to provide relevant disaggregated data for policy design and targeted interventions to support vulnerable groups Outputs By Technical manual on disaggregation of official statistics, knowledge sharing workshops, and case studies on various applications of innovative data analytics for disaggregation of select SDG indicators Performance Indicators with Targets and Baselines a. By 2021, at least two DMCs are producing high quality and disaggregated economics statistics both for SDG- and non-sdg-related indicators (2017 baseline: 0) 1a. Technical manual and reports, and disaggregated SDG indicators are submitted on time (2017 baseline: 0) 1b. At least two staff of about 10 NSOs (i.e. 20 total staff) from select DMCs are trained on SAE and processing of big data through a series of training workshops (2017 baseline: 0) 1c. At least two country case studies on specific SAE techniques and big data (satellite images and/or mobile phone records) analytics produced (2017 baseline: 0) Data Sources and Reporting a. Workshop documents; Reports on disaggregated SDG data Risks Technical and administrative capacity of target NSOs to institutionalize compilation of disaggregated statistics 1a. ADB publication list Unavailability of experts to serve as resource persons 1b. NSOs progress reports 1c. Validated disaggregated SDG data; consultants reports; ADB publication list Changes in the participating DMCs project team and management; unforeseen changes in the work plan of counterpart staff from NSOs Restricted access to confidential data Potential inconsistencies between the estimates to be derived solely using conventional data sources and the estimates to be derived using big data Highly disaggregated data may lead to deanonymization issues particularly in situations where there are very few units in the target population

11 Appendix Targeted knowledge-sharing workshops and training on enhanced compilation of national accounts and other economic indicators 2a. At least three knowledgesharing events conducted (2017 baseline: 0) 2b. ADB SBR system installed in two countries (anticipated) (2017 baseline: 0) 2c. At least two new economic indicators produced by participating NSOs (2017 baseline: 0) 2d. At least two analytical reports produced by NSOs and disseminated to stakeholders through print and web (2017 baseline: 0) 2a. Workshop documents 2b. Websites of participating NSOs 2c. NSO reports; consultants reports 2d. NSO reports, consultants reports Changes in the participating DMCs project team and management; unforeseen changes in the work plan of counterpart staff from NSOs 3. High-level regional conference and workshops, in preparation for the updating of the Handbook of Statistical Organizations 3a. At least 15 NSOs attend the events related to the leadership dialogues (2017 baseline: 0) 3a. Conference proceedings 4. Working paper and/or policy notes identifying other methodological and substantive areas where DMCs national statistical systems capacity needs to be strengthened 4a. One working paper and/or policy brief produced (2017 baseline: 0) ADB Economics Working Paper Series Key Activities with Milestones Output 1: Technical manual on disaggregation of official statistics, knowledge-sharing workshops, and case studies on various applications of innovative data analytics for disaggregation of select SDG indicators 1.1 Conduct desk research to take stock of previous and existing initiatives on disaggregation of official statistics and available types of data sources (Q4 2017) 1.2 Conduct inception workshop (Q2 2018) 1.3 Identify DMCs, hold preliminary meetings with the identified DMCs, and sign No-Objection Letters (Q3 2018) 1.4 Review and acquire of relevant data sources (Q4 2018) 1.5 Prepare technical report and online training modules on SAE and other statistical methodologies for disaggregating official statistics (Q Q4 2018) 1.6 Prepare an assessment report on the challenges and opportunities of using innovative data sources for compilation of official statistics in Asia and the Pacific (Q Q4 2018) 1.7 Conduct training workshops on SAE techniques (Q Q2 2019)

12 8 Appendix Process, analyze, and implement SAE techniques using conventional and innovative data sources (Q Q3 2019) 1.9 Data validation and drafting of country reports on application of specific SAE techniques and big data (Q Q4 2020) 1.10 Publish country reports on application of specific SAE techniques and big data (Q4 2020) Output 2: Targeted knowledge-sharing workshops and training on enhanced compilation of national accounts and other economic indicators 2.1 Assess the participating DMCs' statistical information requirements, statistical infrastructure, data sources, and capacity (Q Q2 2018) 2.2 Customize, deploy, and operationalize the ADB SBR system to suit economy specific requirements (Q Q2 2019) 2.3 Organize training for participating DMCs on the theory and concepts related to SNA, trade statistics, input-output analysis, TiVA estimation, GVC analysis, national accounts, statistics on economic globalization, extended national economic accounts, and SBRs (Q Q2 2018) 2.4 Organize training for participating DMCs on the operation and maintenance of ADB SBR system (Q Q2 2019) 2.5 Develop and review the sequence of accounts, datasets, statistics and indicators for multiple reference years (Q Q3 2020) 2.6 Draft country-specific analytical report based on the time-series developed (Q4 2020) 2.7 Release of the online courses and training manuals (Q4 2020) Output 3: High-level regional conference and workshops, in preparation for the updating of the Handbook of Statistical Organizations 3.1 Coordinate with UNSC and regional partners regarding the work plan for the regional conferences and workshops (Q1 2018) 3.2 Coordinate with DMCs regarding organization and participation in regional conferences and workshops (Q3 2019) 3.3 Organize regional conferences and workshops (Q Q3 2019) Output 4: Working paper and/or policy notes identifying other methodological and substantive areas where DMCs national statistical systems capacity needs to be strengthened 4.1 Conduct needs assessment study (Q1 2020) 4.2 Prepare draft report (Q2 2020) 4.3 Prepare final report (Q3 2020) TA Management Activities Engage consultants (international, national) (Q Q2 2018) Conduct regular WebEx/Skype meetings with development partners (Q Q4 2020) TA Physical and Financial closing (Q1 Q2 2021) TA Completion Report (Q3 2021) Inputs ADB: $1,000,000 (TASF 6) Assumptions for Partner Financing Not applicable. ADB = Asian Development Bank, DMC = developing member country, FOP = framework of partnership, NSO = national statistics office, Q = quarter, SAE = small area estimation, SBR = statistical business register, SDG = Sustainable Development Goal, SNA = System of National Accounts, TA = technical assistance, TASF = Technical Assistance Special Fund, UNSC = United Nations Statistical Commission. Source: ADB.

13 Appendix 2 9 COST ESTIMATES AND FINANCING PLAN ($ 000) Item Amount Asian Development Bank a 1. Consultants a. Remuneration and per diem i. International consultants 95.0 ii. National consultants b. Out-of-pocket expenditures b i. International and local travel 30.0 ii. Miscellaneous administration and support costs Printed external publications Surveys Goods (rental or purchase) Training, seminars, workshops, forum, and conferences a. Resource persons and facilitators 10.0 b. Travel cost of Asian Development Bank staff acting as resource 40.0 person c. Venue rental and related facilities 40.0 d. Participants e. Representation Contingencies 60.0 Total 1,000.0 a Financed by the Asian Development Bank s Technical Assistance Special Fund (TASF 6). b Includes airfare and miscellaneous travel expenses and shall be implemented in accordance with the memo Travel expenses of consultants under TA and Government Officials in connection with Non-member countries dated 29 October Source: Asian Development Bank estimates.

14 10 Appendix 3 LIST OF LINKED DOCUMENTS 1. Terms of Reference for Consultants