| Monday, 25 April |
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| Session 1: Work on Leading Indicators by Invited OECD Non-Member Economies |
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| Aims |
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- to present national experience in the field of cyclical analysis.
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- to discuss statistical/methodological issues with regard to construction of national CLIs.
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Selected country presentations:
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Composite Leading Indicators: The Brazilian Experience
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Salomao L. Quadros da Silva, Getulio Vargas Foundation, Brazil
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| Paper |
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| Presentation |
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| The Brazilian Economy |
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| Rebeca de la Rocque Palis, Instituto Brasileiro de Geografia e Estatística, Brazil |
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| Presentation |
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Measuring Business Cycles in China: A Brief Review
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Yongjun Zhang, State Information Center of China
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| Paper |
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China's Experiences in Constructing and Applying Composite Leading Indicators
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Shi Faqi, National Bureau of Statistics, China
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| Paper |
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Business Cycle Analysis of Economic Indicators
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Shri A. B. Chakraborty, Reserve Bank of India
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| Paper |
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Development of Composite Leading Indicators (CLIs) in Indonesia
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Slamet Sutomo, BPS – Statistics Indonesia
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| Paper |
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| PresentationPaper |
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A Brief history of business Cycle Analysis in South Africa
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JC Venter, South African Reserve Bank
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| Paper |
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| Presentation |
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Session 2: Work on Leading Indicators by the OECD
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Aims
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- To give brief background information on key issues for discussion in the following sessions, and to present recent development work by the OECD.
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OECD Composite Leading Indicators (CLI) Methodology
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Ronny Nilsson, OECD
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| Presentation |
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Application of OECD Methodology to OECD Non-Member Economies
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Presentation of OECD background paper: Composite Leading Indicators for Major Non-Member Economies – selection of Leading Indicators and Construction of Composite Indicators
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Ronny Nilsson, OECD
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| Paper |
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| Presentation |
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Discussion session:
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- What cycle to monitor? (business cycle, growth cycle growth rate cycle)
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- What reference indicator? (single reference series like GDP or industrial production or composite coincident indicator)
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Session 3: Potential Leading Indicators as Components for Construction of Country Specific CLIs
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Aim
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to discuss the initial OECD selection of leading indicators for Non-Member countries:
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- indicators available at the OECD
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- indicators not available at the OECD
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- to present and discuss country suggestions for alternative and/or additional potential leading indicators, data and metadata availability, time period covered by indicators, frequency and timelines of data and suggestions for efficient modes of data collection or transmissions
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- to agree on a set of leading indicators for each country
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Selected country presentations:
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Selection of Variables to form An Index of Leading Indicators for the Brazilian Economy
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Salomao L. Quadros da Silva, Getulio Vargas Foundation, Brazil
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| Presentation |
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List of Potential Leading Indicators for China
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Shi Faqi, National Bureau of Statistics, China
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| Paper |
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Data Availability for the Construction of a composite Leading Business Cycle Indicator for South Africa
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JC Venter, South African Reserve Bank
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| Paper |
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| Presentation |
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Tuesday, 25 April
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Session 3: Potential Leading Indicators as Components for Construction of Country Specific CLIs (cont.)
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Summary of the first day and main conclusions reached
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OECD Selection of Potential Leading Indicators:
Cyclical Characteristics and Problems with Specific Indicators
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Ronny Nilsson, OECD
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| Presentation |
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Discussion session on:
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- Alternative and/or additional potential leading indicators
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Data and Metadata Collection from Non-Member Countries by the OECD
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Ronny Nilsson, OECD
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| Presentation |
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Discussion session on:
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- data and metadata availability, frequency, timeliness etc.
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- efficient modes of data collection
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Session 4: Meeting conclusions and future work
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Aims:
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- To discuss conclusions from Sessions 1-3 above and decide on possible future activities for the OECD in cooperation with national agencies.
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Brief overview of main conclusions, recommendations and agreements from Sessions 1-3
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Identification of specific future activities/projects, such as those involving:
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- to discuss and propose a modality to continue monitoring the quality of the selected leading indicators (and to adjust as required)
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