Purchasing Power Parities

Purchasing Power Parities
Contact organisation

EUROSTAT, the statistical office of the European Union/ National Statistical Institute - Bulgaria

Contact organisation unit

Eurostat, Unit C4: Price statistics; Purchasing Power Parities. Housing statistics /

NSI, Consumer prices, Housing prices and Purchasing power parities Division

Contact name

Rusin Rusinov - national co-ordinator

Martin Somov

Contact person function

State experts - data collection (methodology)

Contact mail address

2, P. Volov Str., 1038 Sofia, Bulgaria

Contact email address

[email protected]

Contact phone number

+359 2 9857 456;

+359 2 9857 715

Contact fax number
Metadata update
Metadata last certified08 September 2017
Metadata last posted08 September 2017
Metadata last update08 September 2017
Statistical presentation
Data description

Purchasing power parities (PPPs) are indicators of price level differences across countries. PPPs tell us how many currency units a given quantity of goods and services costs in different countries. PPPs can thus be used as currency conversion rates to convert expenditures expressed in national currencies into an artificial common currency (the Purchasing Power Standard, PPS), eliminating the effect of price level differences across countries.

The main use of PPPs is to convert national accounts aggregates, like the Gross Domestic Product (GDP) of different countries, into comparable volume aggregates. Applying nominal exchange rates in this process would overestimate the GDP of countries with high price levels relative to countries with low price levels. The use of PPPs ensures that the GDP of all countries is valued at a uniform price level and thus reflects only differences in the actual volume of the economy.

PPPs are also applied in analyses of relative price levels across countries. For this purpose, the PPPs are divided by the current nominal exchange rate to obtain a price level index (PLI) which expresses the price level of a given country relative to another, or relative to a group of countries like the EU28.

The production of PPPs is a multilateral exercise involving the National Statistical Institutes of the participating countries, Eurostat and the OECD.

Indicators in Eurostat's dissemination database that are published on NSI website in the ECP domain:

· Purchasing power parities (PPPs) scaled to the sum of expenditures of the EU Member States expressed in euro. This means that the PPP of one particular country indicates how many units of national currency one would need in that country in order to maintain the purchasing power of one euro in the EU;

· Price level indices (PLIs) as defined above;

· Nominal expenditure per inhabitant in Euro;

· Real expenditure per inhabitant, defined as nominal expenditure divided by the PPP;

· Volume indices of real expenditure per inhabitant.

Classification system

PPPs are produced in accordance with the final expenditure classification of the European Standard of Accounts (ESA '2010). PPPs are classified by type of final expenditure - actual individual consumption expenditure (AIC), actual collective consumption expenditure and capital expenditure - and, in the case of actual individual consumption expenditure, by purchaser - households (HAICP), non-profit institutions serving households (NPISHs) and general government. The prices underlying the calculation of PPPs adhere to the definitions, concepts, classifications and accounting rules of ESA '2010.

Basic headings and analytical categories

For the purpose of the PPP calculation, the main expenditure aggregates comprising GDP are broken down into 276 basic headings (BH). The basic heading is the lowest level of aggregation, at which products are sampled and product prices collected. It is the lowest level for which countries should provide numerical expenditure weights. Below the basic heading level are the individual items of the product sample. For example, cheese is a basic heading where cheddar, camembert, feta, gorgonzola, gouda, etc. are individual products within it.

PPPs are published at the level of 61 analytical categories which comprise aggregates of basic headings and include some of the main expenditure aggregates like GDP, actual individual consumption, household final consumption, collective consumption and gross fixed capital formation.


Sector coverage

PPPs are calculated for GDP and its various sub-aggregates on the expenditure side of national accounts.

Statistical concepts and definitions

Purchasing power parities

In their simplest form PPPs are price relatives that show the ratio of the prices in national currencies of the same good or service in different countries. For example, if the price of a hamburger in France is 3.11 euros and in the United Kingdom 1.94 pounds, then the PPP for hamburgers between France and the United Kingdom is 3.11 euros to 1.94 pounds, or 1.60 euros to the pound. This means that for every pound spent on hamburgers in the United Kingdom, 1.60 euros would have to be spent in France to obtain the same quantity and quality - or, in other words, the same volume - of hamburgers. Therefore, to compare the volumes of hamburgers purchased in the two countries, either the expenditure on hamburgers in France can be converted to pounds by dividing it by 1.60, or the expenditure on hamburgers in the United Kingdom can be converted to euros by multiplying it by 1.60.

PPPs can refer to a single product, a product group, or the economy as a whole. In moving up the hierarchy of aggregation, the PPPs refer to increasingly complex assortments of goods and services. Thus, if the PPP for GDP ("the economy as a whole") between France and the United Kingdom is 1.39 euros to the pound, it can be inferred that for every pound spent on the GDP in the United Kingdom, 1.39 euros would have to be spent in France to purchase the same volume of goods and services. Purchasing the "same volume of goods and services" does not mean that exactly identical baskets of goods and services will be purchased in both countries. The composition of the baskets will vary between countries and reflect differences in tastes and cultural backgrounds, but both baskets will, in principle, provide equivalent satisfaction or utility.


Derived indicators

 PPPs are used to describe and analyse price level differences across countries. If PPPs are divided by the nominal exchange rate, a price level index (PLI) for each country and product group is obtained. At the level of GDP, PLIs express the general price level of a given country relative to another, or to a group of countries.

"Real expenditure" or "expenditure in PPS" refers to an expenditure aggregate, for instance GDP or AIC, which has been converted to a common, technical currency ("Purchasing Power Standard" or PPS) and a common price level using PPPs. This conversion results in a set of data that is comparable across countries, and expresses the relative volume underlying each country's expenditure. If the real expenditure on, for instance, GDP is divided by the number of inhabitants in each country, the resulting real expenditure per inhabitant can be used as an indicator of the relative standard of living of the inhabitants of each country.

It should be noted that real expenditures of the components of GDP do not add up to real GDP, due to the calculation method applied to aggregate PPPs.

Since we are referring to the standard of living relative to another country, or group of countries, it is often preferable to express GDP per capita in PPS as volume indices per capita, fixing the value of one country or group of countries at 100. Thus, if the volume index of GDP per capita in one country is 110%, while that of the EU28 is set at 100, the volume of GDP per capita in that country is 10 percent higher than in the EU28 as a whole.

Statistical unit

PPPs are calculated for each of the participant countries in European comparison program, for the EU as a whole, and for the Euro area. There is no regional breakdown.

Statistical population

The expenditure side of national accounts, as defined in ESA '2010, defines the statistical population.

Reference area

Eurostat is in charge of the annual calculation and dissemination of PPPs for 37 European countries. These include the 28 EU Member States, the 5 candidate countries (Albania, the Former Yugoslav Republic of Macedonia, Montenegro, Serbia and Turkey), 3 EFTA Member States (Iceland, Norway and Switzerland) and 1 potential candidate countries (Bosnia-Herzegovina). Kosovo participates only in the surveys on consumer goods and services. In Eurostat's dissemination database, PPPs for Japan and the United States are included for reference as well, although these are computed by the OECD.

Time coverage

Coverage over time in Eurostat's database is as follows (in NSI back to 2000):

· PPPs and PLIs for GDP, actual individual consumption and household final consumption expenditure:

- available back to 1995 for EU Member States (EU28), EFTA Member States, Turkey; 

- available back to 1997 for Albania and the Former Yugoslav Republic of Macedonia;

- available back to 2000 for Bosnia and Herzegovina, Montenegro and Serbia.

· PPPs and PLIs for all 61 analytical categories:

- available back to 1995 for the EU Member States at that point in time (EU15) and the EFTA Member States;

- available back to 1999 for 27 EU Member States (EU27); EFTA Member States and Turkey;
- available back to 2003 for Croatia and the Former Yugoslav Republic of Macedonia;
 - available back to 2005 for Albania, Bosnia and Herzegovina, Montenegro and Serbia.

· Expenditure data (nominal and real expenditure, real expenditure per inhabitant and volume indices of real expenditure per inhabitant):

- Available for the same countries and years as the PPPs and PLIs, but for a limited number of analytical categories.

Base period

Not applicable, because PPPs are primarily spatial indicators.

Unit of measure

PPPs can be interpreted as the exchange rates of countries' national currencies against the PPS. They express the number of currency units per PPS.

Real expenditures are expenditures in national currency converted to PPS using PPPs. They are thus denominated in PPS.

PLIs and volume indices per capita are indices that, in Eurostat's database, uses either EU28, EU27 or EU15 as "base country" (EU28=100, EU27=100 or EU15=100, depending on the user's choice).

In NSI publications indices are based at EU28=100.

Reference period

The reference period is the calendar year. In Eurostat's database, data is available back to the reference year 1995, though not for all 37 countries.

NSI disseminates data back to 2000.

Institutional mandate
Legal acts and other agreements

The common rules for the provision of basic information (input data), the calculation and dissemination of PPPs are laid down in Regulation (EC) No 1445/2007 of the European Parliament and of the Council of 11 December 2007.

In addition, Commission Regulation (EU) No 193/2011 of 28 February 2011 defines common quality criteria and the structure of the quality reports.

Commission Regulation (EU) 2015/1163 of 15 Julu 2015 implementing Regulation (EC) № 1445/2007 of the EU Parliament and of the Council as regards the list of basic headings used for purchasing power parities

Within the framework of the Regulation, the methodologies and the publishing policies are decided by the PPP Working Group. The results as calculated by Eurostat are distributed to the NSIs for validation and approval prior to dissemination.

Data sharing

All data that enter the calculation of PPPs are available to the participating NSIs, but only for validation purposes.

The PPPs as calculated by Eurostat enter the calculation of PPPs for the OECD Member States and countries affiliated with the OECD, as well as the calculation of global PPPs undertaken by the World Bank and the IMF (fixity).

Confidentiality - policy

Regulation (EC) No 223/2009 on European statistics (Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society.

Confidentiality - data treatment

The PPP exercise is a multilateral statistical undertaking, in which the quality on each country's results is depending on all the other participating countries as well as on its own data. Therefore, it is important that all input data is available, for validation purposes, to all NSIs involved. Since individual price observations are confidential, only average prices are exchanged among countries for this purpose..

Release policy
Release calendar

First estimates of PPPs and related indicators for the proceding year are released in June each year. In December, these indicators are recalculated for the three preceeding years.

NSI publishes the results after they are released by Eurostat.

Release calendar access

Not applicable.

User access

In line with the Community legal framework and the European Statistics Code of Practice Eurostat disseminates European statistics on Eurostat's website respecting professional independence and in an objective, professional and transparent manner in which all users are treated equitably. The detailed arrangements are governed by the Eurostat protocol on impartial access to Eurostat data for users.

The data to be published are screened and approved by the participating countries.

Frequency of dissemination

Twice yearly.

Accessibility and clarity
News release

News releases published online in June and December each year, focusing on volume indices per capita at the level of Actual Individual Consumption or price level indices for household final consumption expenditure.

NSI publishes on its website (www.nsi.bg) in the domain European Comparison Programme.


Eurostat publishes

News releases on:

  • AIC and GDP per capita in PPS, twice per year
  • PLIs for household final consumption expenditure, annual 

Statistics explained articles:

  • GDP and actual individual consumption (PLIs and volume indices per capita)
  • PLIs for the various components of household final consumption expenditure
  • PLIs for food, beverages and tobacco
  • PLIs for capital goods

After official release by Eurostat Burlgarian NSI publishes PLIs and GDP volume indices per capita in:

· Statistical Yearbook of Bulgaria;

· Statistical reference book of Bulgaria.

On-line database

Eurostat produces the information and maintains the PPP database:

The PPP domain of Eurostat's database can be accessed under   'Economy and finance'-'Prices' - 'Purchasing power parities': http://ec.europa.eu/eurostat/data/database

PPPs at the level of GDP, as well as a number of volume indicators ("real expenditures"), are also accessible from the national accounts domain: "Economy and finance"-"National accounts"-"Annual national accounts".

The disseminated indicators by NSI are accessible on-line in the respective domains:

· European Comparison Program: http://www.nsi.bg/node/5186

. Bulgaria and EU: http://www.nsi.bg/node/806

Micro-data access

Results below the level of the analytical categories are generally not disseminated to the general public.


Not applicable

Documentation on methodology

The latest version of the Eurostat-OECD Methodological Manual on Purchasing Power Parities is available online in Eurostat database.

Quality documentation

All participating countries produce detailed inventories of the data sources and methods applied in the provision of PPP data. In addition, countries provide quality reports ("survey reports") to Eurostat following the finalisation of each price survey for consumer and capital goods. These reports are intended for internal use among the participants, and serve primarily the preparation of forthcoming surveys.

Quality management
Quality assurance

All data provided by participating countries undergo a detailed multilateral validation process, described in detail in the PPP Manual.

Quality assessment

The inventories produced by the countries, are used by Eurostat for in-depth assessment of the countries' sources and methods, in line with Regulation 1445/2007. The outcome of these assessments are released on Eurostat's website:


User needs

Regional GDP in PPS is used to determine the regions eligible for financial support from the EU Structural Funds. Furthermore, indicators derived from PPPs are used for a wide range of analytic purposes, often providing background information for policymaking in the European institutions, in international organisations like the International Monetary Fund and the World Bank, and in national governments.

Some users typically request PPP data at a more detailed level than currently published. At present, data below the level of the 61 predefined analytical categories are not published. Changing this in order to better accommodate user needs would require considerable changes to the current methodology and to the organisation of the exercise.

User satisfaction

A Rolling Review on the PPP programme was carried out in 2010 in the context of Eurostat’s Quality Assurance Framework. The Rolling Review consisted of a survey among users, a survey among partners (mainly the National Statistical Institutes) and a self-assessment by Eurostat. The executive summary of the final report is available on Eurostat’s website:



All indicators are calculated and published by Eurostat for all the 37 participating countries.

NSI publishes a limited set of indicators for all 37 countries

Accuracy and reliability
Overall accuracy

The precision of PPPs increases with the level of aggregation. This means that the PPP (and thus also the PLI, real expenditure and volume index per capita) at GDP level will be more reliable, or precise, than the PPP for final household consumption or gross capital formation. Similarly, the PPP for final household consumption will be more reliable than the PPP for "food and non-alcoholic beverages", or "clothing and footwear", the latter two being sub-aggregates of final household consumption.

The input data into the PPP compilation process comes from several sources, specifically, from special PPP price surveys and from national accounts. This makes it impossible to calculate any meaningful, numerical measure of error margins for PPPs. However, there is general agreement that PPPs, PLIs and other PPP-based indicators are not intended to establish a strict ranking of countries. The degree of uncertainty associated with the basic price and expenditure data, and the methods used for compiling PPPs, may produce errors that influence the ranking of countries, particularly when countries are clustered around a very narrow range of outcomes. PPPs and PPP-based indicators thus provide an indication of the relative order of magnitude of one country in relation to other countries in the comparison. As outlined above, this is more so at a low level of aggregation than in the case of, for instance, GDP or GDP per capita.

Sampling error

Not applicable.

Non-sampling error

In the consumer goods surveys, measurement errors can occur due to non-compliance with the strict definition of the products in the product sample, for instance with regard to package sizes or quality parameters. While the validation process aims at eliminating these errors by carefully comparing the price material provided by each country and evaluating its plausibility, some of these errors can be hard to identify, especially those related to quality. Similar problems can occur in other surveys as well, like the annual survey on compensation of public sector employees. Here, the problem stems from the heterogeneity of data sources across countries.

While non-response from one particular statistical unit can usually be easily overcome by replacing that unit, and normally has a very limited impact at the level of the published categories anyway, a special problem does occur where no prices are available for a given product in one or more countries. In these cases, a price relative is imputed on the basis of the price relatives for other products. If a country does not report prices for any sample product in a given basic heading, the gaps are typically filled using the PPP of either a "similar", or of a hierarchical, basic heading.

Timeliness and punctuality

PPPs for a given year (t) are published in four steps:

  • After t+6 months: First preliminary results, based on extrapolations from year t-1 and on the new data for year t that are available at that time;
  • After t+12 months: Preliminary results, incorporating all new price and expenditure data of year t;
  • After t+24 months: Revised, preliminary results, incorporating the most recent expenditure estimates;
  • After t+36 months: Final results for year t. These results are "final" in the sense that there will be no further updates when countries revise their National Accounts estimates.

PPPs are always released by Eurostat in June and December. The exact publication date is determined a few months in advance.

Coherence and comparability
Comparability - geographical

PPPs are primarily spatial price level indicators, and the comparability of the results across countries can be assumed to be very good.

Comparability - over time

In essence, PPPs are spatial price level indicators, and thus primarily suitable in comparisons referring to several geographical locations at a given point in time.

Unlike the item sampling and price collection that underlie consumer price indices (CPI), the sampling of items and the price collection for PPPs are not designed to capture price changes over time, but rather price differences across countries or other geographical units. If necessary, product samples will be changed between two consecutive surveys in order to maintain or improve comparability across countries. Survey methodologies may also change from one survey to the next, if this is deemed necessary to produce a spatial comparison of improved quality.

Nevertheless, PPPs and PPP-based indicators may be used in inter-temporal comparisons under certain circumstances, provided that the results are interpreted with sufficient care. For example, while it certainly makes sense to follow the temporal development of volume indices for high-level aggregates like GDP or actual individual consumption, lower-level aggregates will typically show more volatility over time, induced partly by changes in product samples or methodology.

 Interpretation of time series

The interpretation of a time series that includes PPPs should be guided by the purpose of the analysis. The "perfect", multi-purpose indicator that simultaneously captures both spatial and temporal aspects adequately simply does not exist. For example, a time series of PLI does not provide a reliable measure of the development of prices in a given country. For that purpose, the CPI should be applied instead. Similarly, if we want to compare the rate of price change in two or more countries, the Harmonized Index of Consumer Prices (HICP) is readily available, at least for most European countries. Accordingly, a time series of PLIs shows, for each consecutive year, the various countries' price levels in relation to each other, and provides a rough indication of how these relative price levels have developed.

PPPs are primarily used to convert expenditures in different countries into a common currency and a common price level in order to ensure comparability. A current price time series of, for instance, GDP per capita, deflated by the current PPP of each year, ensures comparability of relative volumes across countries for each single year. However, the growth rates will not reflect real growth, since the expenditures are expressed in common, current prices. Still, when presented in index form (with, for instance, EU28=100) and per capita terms, they can be used as an analytical tool in temporal comparisons, but with caution.

On the other hand, a time series of GDP per capita in fixed prices, deflated by the PPP of the base year, would produce both real volumes expressed in the same price level for all countries, as well as real growth rates. However, in many cases this approach is highly problematic, because price structures and price relatives across countries do change over time. The assumption of a fixed price relative (the PPP of the base year) is thus not a realistic one, especially in long time series.

Coherence - cross domain

PPPs and the PPP-derived indicators are accessible from two different domains in the Eurostat dissemination database: The PPP domain and the National accounts domain.

PPPs, PLIs, expenditure data and volume indicators for the analytical categories can be found in the PPP domain, while PPPs for GDP, as well as expenditures and volume indicators for GDP and the main National accounts aggregates can be accessed from the national accounts domain as well. 

While the PPPs at the level of GDP are identical in the two domains, there are some important differences between the two sets of volume indicators. Whereas the expenditure data in the PPP domain is updated twice a year (in June and December), the National accounts domain is updated continuously as countries provide revised NA updates. For this reason, the national accounts domain provides the most up-to-date indicators of GDP and GDP per capita in PPS.

On the other hand, the volume indicators in the price domain are based on aggregate-specific PPPs, while the national accounts domain uses the PPP for GDP to deflate not only GDP, but all sub-aggregates as well. This means that the volume indicators in the price domain are more suitable for aggregate-specific analyses than the data in the NA domain.

For these reasons, the expenditure and volume indicators in the two domains may not be entirely coherent at any given point in time, although discrepancies will normally not be very substantial.

On NSI website PPPs and related indicators are published in domain European Comparison program (ECP)

Coherence - internal

Not applicable.

Cost and burden

Since most NSIs use price collectors to obtain price data, and most other input data required are extracted from existing sources at the NSIs, no additional response burden is created for businesses.

Data revision
Data revision - policy

Following the calculation of the final PPPs for a given reference year, PPPs are no longer revised. However, in order to maintain the highest possible degree of coherence with national accounts, the entire time series of PPPs is rescaled to the latest national accounts aggregates twice a year, in June and December, and the database updated accordingly.

Data revision - practice

Not applicable.

Statistical processing
Source data

Among the seven main sub-aggregates of GDP, countries are required to carry out price surveys and provide price input data for household consumption, individual government consumption, collective consumption and gross fixed capital formation (investment goods and services). Reference (imputed) PPPs are used for NPISH consumption, inventories, and net exports.

 Household consumption

For consumer (market) goods and services, special price surveys are carried out. The product sample is determined in collaboration among the participant countries, the OECD and Eurostat. The final product sample should consist of comparable goods and services and, to the largest extent possible, be equally representative of the expenditure patterns of all participant countries. Subsequently, the data collection is carried out by the NSIs. Prices are collected from a variety of outlets (markets, corner shops, supermarkets, specialist shops, departmental stores, service establishments, etc.), usually by actually visiting the shops, but also via questionnaires and phone or electronic surveys.

In most countries, prices are collected only in the capital city and its surroundings. In order to obtain national average prices, these countries have to supply spatial adjustment factors (SAFs) for all basic headings.

To reduce the response burden, prices are collected over a period of three years. The product sample is divided into six separate surveys, and each year, two surveys are carried out. In the calculation of PPPs, extrapolations of the most recent survey data are used for the product groups that were not surveyed in the reference year. A temporal adjustment factor at basic heading level, based on national CPI data, is used for this purpose. A similar temporal adjustment is needed in order to calculate annual average prices for the whole reference year, based on the prices collected in the survey month.

Housing receives special treatment. In most of the countries, a survey of actual rentals is carried out annually. For countries with unrepresentative rental markets, however, a "quantity approach" based on dwelling stock estimates is used instead. (This is the case in Bulgaria).

 Government consumption

The services produced by general government are non-market services and as such, they have no economically significant market price. Because there are no market prices, the convention is to value non-market services in National Accounts at cost, or input prices. Consequently, this convention is applied in the production of PPPs as well. Countries report the compensation of employees including social contributions for a sample of occupations in public health services and collective services provided by the government. These compensation figures then enter the calculation of PPPs as price estimates of government services.

In principle, the cost data should be national annual averages for each sample occupation, to be extracted from registers or other statistical sources. Countries that do not have access to such sources may base their cost estimates on the government salary scales that would apply to a "typical" employee.

For education services, an approach based on direct estimation of volumes (number of students relative to total population) with quality adjustment based on the PISA survey is used. Student numbers are collected from the common education database of UNESCO, OECD and Eurostat. Under this approach, PPPs are derived indirectly, by dividing actual individual expenditure on education into the volume indicator.

 For health services, PPPs are based on a mixture of (quasi-)prices collected for hospital services, outpatient medical services and medical products.

Gross fixed capital formation

Countries report national purchasers' prices for investment goods and services once every two years. There are two price surveys, one for Equipment goods, and one for Construction. The prices collected are mid-year prices because it is too costly to monitor prices over the whole year.

Prices for Equipment goods are obtained from producers, importers, distributors or actual purchasers. The prices collected can be either purchasers' prices for actual market transactions or purchasers' prices for hypothetical market transactions - that is, what purchasers would pay if they made a purchase.

Prices for Construction are collected using a set of standard construction projects covering different types of buildings and civil engineering works. Prices for the projects are to be at the level of prevailing tender prices - that is, the prices of tenders that have been accepted by purchasers. The principle of rotation is applied between fully priced projects and Key Items (KIs) pricing for the rest number of construction projects.

 Auxiliary data

In addition to the prices and adjustment factors enumerated above, participating countries have to provide expenditure weights at basic heading levels, annual average exchange rates and mid-year resident population figures, as well as their most recent estimates of GDP and its main sub-aggregates. The expenditure weights are taken from the expenditure breakdown of national accounts.

The survey methodology for each country is laid down by the NSIs and Eurostat in collaboration.

Frequency of data collection

The data collection is a continuous process. New input data is collected as follows:

  • Household consumption: Six surveys covering different parts of household consumption, carried out over a three-year cycle (two surveys per year). Annual survey of rents data.
  • Government consumption: Annual survey of the compensation of public sector employees; annual extraction from the UNESCO-OECD-Eurostat education database; annual collection of prices for hospital services.
  • Gross fixed capital formation: Surveys of equipment goods are carried out every second year, while since 2010, construction survey is reported annually.
  • Expenditure weights and auxiliary data: Reported annually.
Data collection

Within the general framework of each price survey, as laid down in the methodological manual (cf. 11.1) and in the survey guidelines, countries have a degree of freedom as to how to conduct the data collection. The most common way of obtaining data is by visiting sales outlets. However, questionnaires, phone calls, internet and scanner data is also used.

The price survey on Construction projects is a special case, since NSIs don't usually have the in-house expertise required to conduct this survey. Most countries thus rely on external construction experts to provide price estimates for the sample of construction projects. Same concerns the Equipment goods survey.

Data on Rents and the Compensation of employees are usually collected from sources that already exist at the NSIs or in other government agencies.

Data validation

The validation of input data is an interactive process between National Statistical Institutes and Eurostat.

Data compilation

The calculation of PPPs is undertaken in three stages. The first stage is at the product level, where price relatives are calculated for individual goods and services. The second stage is at the product group (or basic heading) level, where the price relatives calculated for the products in the basic heading are averaged to obtain unweighted PPPs for that particular basic heading, and at the third stage, the basic heading PPPs are weighted and averaged to obtain weighted PPPs for each aggregation level. The weights used to aggregate the PPPs in this last stage are expenditures from each country's National Accounts.

The calculation and aggregation of PPPs requires each participating country to provide 1) a set of national annual prices for the sample of products, and 2) a detailed breakdown of final expenditure on GDP according to a common classification. The calculation of basic heading PPPs is based on binary Fisher type indices for which both a Laspeyres type index and a Paasche type index must first be calculated based on the reported price data. Subsequently, PPPs are calculated for a basic heading using the Èltetö-Köves-Szulc (EKS) method. These PPPs for a basic heading are combined with those of other basic headings to provide weighted PPPs for each level of aggregation up to the level of GDP. The EKS method is applied at this stage as well.

Explicit consumption weights are not applied when calculating parities for the basic headings but are taken into account at any higher level of aggregation. In principle, it would be desirable to weigh the price relatives within basic headings, but the expenditure data required to do this is not generally available. Instead, at the basic heading level, countries are required to differentiate between "representative" and "unrepresentative" products. A product in the product sample is said to be representative if it is purchased in sufficient quantities so that its price level is typical for that type of product in the national market. Failure to take representativity into account may produce a bias in the results, because representative products are generally assumed to have lower relative prices than unrepresentative ones. In order to avoid this bias, products that are representative are assigned a quasi expenditure weight of "1" and products that are not representative are given a quasi expenditure weight of "0".

Sometimes, no prices are available for a basic heading and thus no parities can be calculated. In these cases reference parities will be used, i.e. parities initially calculated for a comparable basic heading.


Not applicable


Not applicable

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