23-25 April 2013 - This Joint UNECE/Eurostat/OECD/ESCAP Meeting will be held at OECD in Paris, France, and at the Economic and Social Commission for Asia and the Pacific (ESCAP) Conference Centre in Bangkok, Thailand. The two geographical locations of the meeting will be linked through videoconference facilities.
For most citizens, buying a residential property (dwelling) is the most important transaction during their lifetime. Residential properties represent the most significant component of households’ expenses and, at the same time, their most valuable assets. The Residential Property Prices Indices (RPPIs) are index numbers measuring the rate at which the prices of residential properties are changing over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. Among their professional uses, they serve, for example, to monitor macroeconomic imbalances and risk exposure of the financial sector.
This Handbook provides, for the first time, comprehensive guidelines for the compilation of Residential Property Price Indexes and explains in depth the methods and best practices used to calculate an RPPI. It also examines the underlying economic and statistical concepts and defines the principles guiding the methodological and practical choices for the compilation of the indices. The Handbook primarily addresses official statisticians in charge of producing residential property price indices; at the same time, it addresses the overall requirement on RPPIs by providing a harmonised methodological and practical framework to all parties interested in the compilation of such indices.
The RPPIs Handbook has been written by leading academics in index number theory and by recognised experts in RPPIs compilation. Its development has been co-ordinated by Eurostat, the statistical office of the European Union, with the collaboration of the International Labour Organization (ILO), International Monetary Fund (IMF), Organisation for Economic Co-operation and Development (OECD), United Nations Economic Commission for Europe (UNECE) and the World Bank.
11-13 September 2013 - Global SDMX Implementation: Modernising Official Statistics, to be held at the OECD in Paris, with BIS and Eurostat acting as co-hosts on behalf of the SDMX Sponsors.
The production and dissemination of reliable statistics have become essential for public administration and public policy. Statistics is not an aim in itself, but a very important tool to improve our understanding of an increasingly complex, interdependent and fast-evolving world, said OECD Secretary-General.
Explore OECD data using new tools that allow you to uncover structures and reveal the stories hidden in the statistics.
The National Accounts of OECD Countries, Financial Accounts includes financial transactions and The National Accounts of OECD Countries, Financial Balance Sheets includes financial stocks.
Statistics Working Paper N. 51 - 2013/2 - Since income is the return on wealth, the total wealth of any given country should be on the order of 20 times its GDP. Instead the average observed ratio from the balance sheet accounts of the System of National Accounts (SNA) is a factor of 2.6 to 6.6, depending on whether natural resource stocks are included in the balance sheet.
Statistics Working Paper N. 50 - 2013/1 - While environmental economics studies using stated life satisfaction data have been gaining attention, much of this body of work remains exploratory. In this study we contribute to this body of research by combining OECD data from 4 European countries on life satisfaction and perceptions of environmental quality to provide a broad picture of the environmental determinants of life satisfaction...
The OECD Cyclical Analysis and Composite Indicators System (CACIS) is a program for both cyclical analysis and compilation and study of composites indicators.
The OECD has taken a major step forward in measuring how we feel about our lives. Newly released Guidelines on Measuring Subjective Well-being establish the first comprehensive framework for internationally comparable and intellectually robust data on this topic.