The International Comparison Program (ICP) aims to produce benchmark purchasing power parities (PPP) which are vital for cross country analysis of levels of development and evidenced-based decision making by international organizations, national governments and academic researchers.
To achieve this goal it is imperative to strengthen and build sustainable capabilities of national statistics offices (NSOs) and integrate the ICP methods and concepts both in the national accounts and price collection systems. Better understanding of these concepts and engagement of NSOs will ensure awareness on the importance and uses of the PPPs at the national level and contribute to improving the quality of official statistics.
Towards this end, the Asian Development Bank continues to support building statistical capacities within NSOs through the following programs:
(To access the tables, please click the subject titles. Links to respective webpages are also provided within each subject description.)
2005 International Comparison Program. The 2005 ICP under RETA 6088 - Strengthening and Collection of Purchasing Power Parity (PPPs) Data in Selected DMCs produced the 2005 PPPs and related tables for 23 economies in Asia and the Pacific.
2009 Purchasing Power Parity (PPP) Updates. A research initiative under RETA 6482 - Improving Price Collection of Non-Household Expenditure Components and Updating PPP Estimates for Selected DMCs - updated the 2005 benchmark PPPs to 2009 for 21 economies using alternative methods to the conventional extrapolation using movements of gross domestic product deflators.
Supply and Use Tables (SUT) for Selected DMCs. RETA 6483 - Adopting the Supply and Use Framework Towards 1993 System of National Accounts (SNA93) Compliance in Selected DMCs developed SUTs for 18 economies.
Input-Output Tables (IO Tables) for Selected DMCs. Building on the results of the ADB project on SUTs, the ADB constructed the input-output tables for 17 economies to enhance the analytical usefulness of the data generated from the supply and use tables.