The ICP is the world's largest global statistical initiative for estimating purchasing power parities (PPPs) to compare economic outputs, standards of living, and relative price levels across economies.
The ICP entails estimating PPPs and related macro-economic aggregates of economies for comparison. The World Bank coordinates global-level ICP, while ADB covers the program’s Asia and the Pacific component.
The framework for the ICP in Asia and the Pacific is the same as the general approach to the ICP in all regions. The principal objective of the ICP is to provide policy makers, international organizations, economists, researchers, and the wider public with comparable measures of economic activity as measured by gross domestic product (GDP) and its components. The main problem for international comparisons is that data on GDP and its components are published in local currency units by statistical offices of the participating economies, making it difficult to compare across economies. GDP aggregates from economies are also influenced by differences in prices of goods and services that comprise GDP. The common practice on, and an intuitive approach to, international comparisons have been the use of market/official exchange rates to convert GDP data from economies into a common currency unit such as the United States dollar. While the use of exchange rates eliminates the problem of currency units, it fails to adjust for price level differences; this forms the crux of the problem encountered and effectively resolved in the ICP.
The ICP methodology is divided into three major components: expenditures as defined by the system of national accounts; prices of goods and services; and the actual methodology to compute PPPs. Following the framework of the ICP and standard methodologies, Asia and the Pacific implements the regional program and has developed practices and approaches to collect and compile price statistics and compute PPPs, real expenditures, and other ICP-related indicators.
The concept of GDP and its measurement is undertaken in various economies based on the internationally accepted standard, which is the 2008 System of National Accounts (SNA) published by the United Nations, the Commission of the European Communities, the International Monetary Fund, the Organisation for Economic Co-operation and Development, and the World Bank.
GDP is a widely accepted measure of economic activity. According to the SNA, GDP can be measured using three different methods: production approach, income approach, and expenditure approach.
The ICP methodology is designed to provide volume measures for any desired component of GDP. Therefore, it is necessary to identify the level of disaggregation that is permitted within the ICP. As ICP provides measures of PPPs that convert a given aggregate into volume or real expenditure, the first and foremost requirement is to have an expenditure measure available at the aggregate being considered.
Basic headings are the lowest level of aggregation of items in the GDP breakdown for which expenditure data are available. They are the basis for estimating PPPs at higher level of aggregations, and are therefore known as the building blocks for ICP. Below the basic heading level, it may be possible to collect prices of items that make up the basic heading but estimates of expenditures are not usually available and/or not produced by most national statistics offices. For basic headings to be meaningful, it is necessary to group goods and services that are similar. However, in practice, basic headings may cover a broader range of products than what is desirable.
The ICP in Asia and the Pacific uses 155 basic headings following the ICP Global Office recommendations. In principle, the ICP methodology can be used to derive volume measures at each of the 155 basic headings or at aggregates that make up the basic headings. The ICP uses a hierarchical approach as shown in the pyramid figure.
National accounts data are at the core of international comparisons and serve two roles in the ICP. The primary objective of ICP is to provide comparable real expenditure aggregates obtained by converting expenditures in different economies expressed in their own currency units into a common currency unit. National accounts are the only source of data on expenditures in different categories at the national level. Therefore, the primary role of national accounts is to provide reliable estimates of expenditures. The ICP starts with the basic headings as the level at which expenditures are available and deemed reliable for most economies. The second role of national accounts is to provide weights necessary for aggregation of price data. The weights are the expenditures on each basic heading expressed as a share of GDP. As PPPs are computed using the national accounts, the accuracy and comparability of national accounts values and weights can impact on the accuracy and comparability of the PPPs.
For Asia and the Pacific, national accounts data validation was done at 2 stages: intra-economy validation carried out by the individual participating economies and inter-economy validation carried out by ADB. There was also a third level of inter-regional validation performed by the ICP Global Office.
The implementing agencies were required to submit GDP expenditures data for 155 basic headings from 2017 to 2021 using the ADB-developed GDP Price Collection Tool (PCT). The PCT had built-in validation checks which include additivity from the basic heading level to higher levels of aggregation; completeness of entries for the 155 basic headings; completeness of entries for the years 2017 to 2021; and presence of negative values where it was not expected or acceptable among others. Other useful information in the PCT included methodology for estimating basic headings based on recommended splitting methods; comparison of shares across years at the GDP, main aggregates, categories, groups, and class levels; and comparison of per capita estimates in local currency units. Likewise, the PCT flagged for review/confirmation absolute difference at the category and basic heading levels which exceeded specified thresholds and higher than expected category shares.
Two regional workshops were dedicated to analyze the economy estimates with technical advice from an international expert on national accounts. The hands-on session for economy validation and documentation was conducted in one of the regional workshops specifically to assist implementing agencies in GDP data validation. Documentation of estimation methodologies was deemed an important step taken by the implementing agencies for reference and guide in future ICP cycles.
Outside of the RIA’s and ICP Global Office’s validation tools, GDP and main aggregates levels data submitted by economies were validated with economy data in the ADB’s Key Indicator for Asia and the Pacific 2023 and the Compendium of Supply and Use Tables. The latter publication, which is an output of an ADB technical assistance was a valuable reference in compiling detailed estimates required by the ICP.
Revised data based on the comments/findings using the ADB and ICP Global Office GDP validation tools, verification with relevant ADB publications, discussions during the regional workshops and technical advice of the international national accounts expert all contributed to the submission of GDP expenditures data required for robust PPP estimation for the region.
References:The most important input into the computation of PPPs is the price data. In concept, PPPs are summary measures of prices of goods and services in the participating economies. Therefore, considerable efforts were exerted on the collection and validation of price data used in the computation of PPPs. As ICP covers the whole of GDP, which comprises household consumption expenditure, government consumption expenditure, and gross capital formation, it is necessary to devise price collection and validation procedures that are specific to each of these aggregates.
Household consumption (excluding health and education). Household consumption is the biggest component of GDP, accounting for approximately 39% of the region’s GDP. It comprises 102 out of 155 basic headings for the GDP. The items in the product list for household consumption comprise (i) the regional product list with goods and services considered representative of consumption in the participating economies of the region and (ii) the global core list of products prepared by the ICP Global Office. A degree of overlap between the regional and global lists is desirable. The regional list for Asia and the Pacific consists of 691 goods, and the global list comprises 414 items, of which 282 are items that overlap with the regional product list, excluding health and education.
Health and education. These are two components of household consumption where one part of the expenditure is incurred by the individuals and another through government provision. Across the 21 participating economies in the region, there is a diverse mix of government provision and the degrees to which these services are subsidized. The basic principle is that prices used for converting health and education expenditures should reflect market prices, regardless of who provides these services and at what price. The product list for health includes 159 goods and services, while the global core list has 142 items. For education, the product list consists of seven items which coincide with the global core list.
Housing. Housing comparisons are undertaken using two standard approaches, the rental and quantity approaches. For the rental approach, the 2021 ICP in the region included 20 types of dwellings of which 10 were houses (9 from global list and 1 specific to the Asia and the Pacific region); and 10 were apartments (9 global and 1 regional specifications). For the quantity approach, the main indicators used are: number of dwellings per 100 people and number of rooms per 100 people in the regional comparisons. In addition, quality indicators of facilities of inside water, sanitation, and electricity were collected. The RIA developed a new 'hybrid' or 'mixed' approach that combined the 'rental' and 'quantity' approaches recommended for estimating PPPs for dwelling. The ‘hybrid’ approach replaced the previously used ‘reference volume approach’. The hybrid approach was endorsed by the ICP Regional Advisory Board as well as the ICP Technical Advisory Group.
Government compensation. The government compensation survey collects data on the annual average compensation paid to select set of government occupations providing a variety of individual and collective services to the public. The list of standard occupations used in the ICP for this aggregate is determined at the global level. There are a total of 35 occupations, of which 34 are from the global core list. After dropping the "senior government official” occupation, 9 occupations from health, 5 occupations from education, and 20 from collective government services are included.
Machinery and equipment. Machinery and equipment is a component of GFCF, along with construction. The list for machinery and equipment is basically the global list with 203 items, of which 88 are specified and 115 are unspecified items. Based on the recommendation of an Experts Group, some of the unspecified items were split using variation in prices submitted for these items.
Construction. Construction consists of residential buildings, nonresidential buildings and civil engineering works. Implementing the input approach to construction, the item list included 33 items for materials; 10 items for equipment rental; and 8 items for labor inputs. There are 50 items from the global core list and 1 item is added for the region. In addition, data on relevance indicators for material inputs and resource mixes for residential buildings, nonresidential buildings and civil engineering works were collected.
Accurate and reliable price data are critical to providing meaningful estimates of PPPs and real expenditures. The ICP Global Office and the Regional Implementing Agency (RIA) consider data validation as an important step in the process.
Validation at the Economy LevelThe implementing agencies are responsible for checking price quotations for outliers and ensuring consistency in following the structured product descriptions. The implementing agencies used software supplied by ADB, the ICP Asia and the Pacific Software Suite, which has extensive functionalities including the generation of survey questionnaires, data entry, data validation and diagnostics. The software also helped identify nonsampling errors such as units of measurement and data entry errors. Different price collection tools were also provided for data entry and data validation on government compensation, housing rental, machinery and equipment and construction surveys, and national accounts expenditure estimates.
Validation at the Regional LevelThe RIA uses a number of diagnostic tools to conduct consistency checks and identify outlier prices.
Price changes in the CPI versus price changes in the ICP: For each economy, there are prices for a set of items that are common to the product list in 2017 and 2021. Using these prices, it is possible to compute a measure of price change over the period 2017 to 2021, labeled ICP inflation. Validation tests are conducted by comparing the ICP inflation for items in groups of products (food, clothing, etc.) with the CPI inflation data from the participating economies. While not expected to be the same, it does help in validating ICP prices when large variations between the two are observed.
Dikhanov tables. Dikhanov tables use residuals from the country-product-dummy (CPD) regressions to identify outliers. The CPD regressions are used at the basic heading level and for higher-level aggregates.
References:In calculating PPPs for each basic heading, the only data available are the prices of items included in the basic heading. It is almost impossible to collect data on expenditures or quantities consumed in the whole economy at the item-level. Also, not all items in the basic heading are priced in all economies. Economies usually price only a subset of items in a basic heading, generally those items which are representative of expenditures for that basic heading.
The ICP uses the country-product-dummy (CPD) method—recommended by the Technical Advisory Group since the 2005 cycle—for aggregating item-level price data to compute PPPs at the basic heading level. Details of the method along with a comparison of its properties with other methods are in Rao (2013). The method regresses the logarithm of observed prices on country-specific and product-specific dummy variables, hence the label country-product-dummy method.
Reference Purchasing Power Parities for Some Basic HeadingsOut of the 155 basic headings used in the ICP, there are some basic headings for which it is difficult to (i) specify the products and (ii) collect product prices that can be used in the CPD model. In such instances, PPPs of other basic headings which are considered similar are used as proxies or reference PPPs. For example, PPPs for the basic heading "maintenance and repair of dwelling" serve as a reference PPP for repair of household appliances.
Computing Purchasing Power Parities for Higher Level Aggregates: The Gini-Éltető-Köves-Szulc MethodTo compute PPPs at higher levels of aggregation, it is necessary to identify the aggregate of interest first and then consider all the basic headings that make up this aggregate. If the aggregate "food and nonalcoholic beverages" is of interest, then it is necessary to include all the 29 basic headings that comprise this aggregate. Similarly, if GDP is of interest, then all the 155 basic headings are included.
Since the 2005 ICP cycle, the Technical Advisory Group has recommended using the GEKS method as the index number method to compute PPPs for higher level aggregates above the basic heading. The GEKS method builds on the well-known Fisher binary index number formula, chosen because it satisfies a number of axiomatic and economic theoretic properties, including the country reversal test, factor reversal test, and commensurability test. The Fisher index is also known to be superlative from an economic theoretic viewpoint (Diewert 2013).
Productivity Adjustment Method for Wages and Salaries of Government EmployeesThe RIA at ADB championed the need for productivity adjustment for comparisons of government compensation. In the 2005 ICP in Asia and the Pacific, the RIA observed that wages and salaries of government employees in many low income economies of the region were too low, resulting in lower price levels and higher volume or real expenditure measures of government expenditure. In some instances, the real per capita government expenditure in some low income economies were at implausibly high levels, most likely because the low wages in fact reflect low productivity levels of employees in these economies, which in turn reflect low levels of capital employed per labor unit. In the 2017 ICP cycle, Inklaar further refined the method of productivity adjustment factors which addresses the deficiencies of the method used in the 2005 and 2011 ICP cycles (Inklaar, 2019).
References:The ICP is the world's largest global statistical initiative for estimating purchasing power parities (PPPs) to compare economic outputs, standards of living, and relative price levels across economies.
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These present the ICP reports and related research presenting methodologies and results of purchasing power parities (PPPs) across various ICP cycles in Asia and the Pacific and related research such as studies on poverty-specific PPPs, integrating ICP with the Consumer Price Index as a framework for subnational PPPs, and alternative approaches for estimating PPPs for non-benchmark years in the region.
ICP Reports and ResearchGuide on the Integration of CPI and ICP Activities
ICP COVID-19 Guidance Note on Price Surveys
ICP COVID-19 Guidance Note on National Accounts
Expenditure Data