Composite Leading Indicators for Major OECD Non-Member Economies: Brazil, China, India, Indonesia, Russian Federation and South Africa

Statistics Working Paper N. 16 - 2006/1. The OECD developed a System of Composite Leading indicators for its Member countries in the early 1980s based on the .growth cycle. approach. Today the OECD compiles composite leading indicators (CLIs) for 23 of its 30 member countries and it is envisaged to expand country coverage to include all Member countries and the major six OECD non-member economies (NMEs) monitored by the organisation

Improving Timeliness for Short-Term Economic Statistics

Statistics Working Paper N. 15 - 2005/5. Effective business cycle analysis, and indeed the monitoring of a country’s economic performance from a policy perspective, requires access to timely high quality short-term economic statistics (STES). Consequently in recent years there has been a lot of pressure on national statistics organisations (NSOs) to better serve their users by improving the timeliness of release for their short-term

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• Short-Term Economic Statistics (STES) Timeliness Framework

OECD Entrepreneurship Indicators Project Expert Workshop - Understanding Entrepreneurship: Issues and Numbers , 26-27 October 2005

Structural Business Statistics (SBS) Expert Meeting: "Towards better Structural Business and SME Statistics", Paris, 3-4 November 2005

This Expert meeting, organised by the Statistics Directorate, provides a unique opportunity to take stock and assess progress made, to comment on proposals made, and to advise the Secretariat on its future focus and orientations with respect to the role more pertinent SBS/SME statistics and indicators can play in a global economy.

Extended Balance of Payments Services Classification - EBOPS

This document shows the EBOPS Classification which is consistant with the IMF's BPM5 classification of trade in services but is more detailed. EBOPS is a disaggregation of the joint OECD-Eurostat Trade in Services Classification.

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• Introduction of the Statistics on International Trade in Services

OECD Workshop on Productivity Measurement Organised Jointly with Fundacion BBVA and Ivie, Madrid, Spain, 17-19 October 2005

OECD workshop on Productivity Measurement organised jointly with the Instituto Valanciano de Investigaciones Economicas (Ivie), held in Madrid, Spain, on 17-19 October 2005. A growing number of statistical offices in the OECD area have recently become engaged in the measurement of productivity. This work is raising many new questions for measurement, including the possible approaches to developing measures of aggregate productivity

International Comparisons of Labour Productivity Levels

Methodological note describing the OECD estimates of productivity levels and the differences between previously published OECD estimates and current estimates.

The OECD Statistics Brief N. 10, September 2005 - Measuring Sustainable Development

The concept of sustainable development encompasses three dimensions of welfare - economic, environmental and social - and involves complex synergies and trade -offs among them. This Statistics Brief presents an update on progress in the development of indicators of sustainable development and describes some of the challenges that lie ahead.

Total Inputs Based on Harmonised Price Indices for ICT Capital Goods - Data: Percentage Changes

A volume index of combined labour and capital inputs for the total economy. The index has been constructed as a weighted average of the rate of change of total hours worked and the rate of change of capital services. Cost shares of inputs averaged over the two periods under consideration serve as weights (Törnqvist index). Price indices for information and communication technology assets are those published by the U.S. Bureau of

ICT and Economic Growth: A Quantification of Productivity Growth in Spain 1985-2002

Statistics Working Paper N. 14 - 2005/4. Using new sectoral data on investment and capital services we carry out a growth accounting exercise on Spain 1985-2002. We compute the contribution to output and labour productivity growth of employment, non-ICT and ICT capital, labour qualification and Total Factor Productivity. Results are given for 29 different branches; individually and grouped into four clusters according to their ICT