Import price index (IPI)

Turinys

  1. Contact
  2. Metadata update
  3. Statistical presentation
  4. Measurement unit(s)

  5. Reference period
  6. Institutional mandate
  7. Confidentiality
  8. Release policy
  9. Frequency of dissemination
  10. Accessibility and clarity
  11. Methodological documentation

  12. Quality management
  13. Relevance
  14. Accuracy and reliability
  15. Timeliness and punctuality
  16. Coherence and comparability
  17. Coherence
  18. Response burden

  19. Data revision

  20. Statistical processing
  21. Comments and other information


1 Contact
1.1 Contact organisation

Statistics Lithuania

1.2 Contact organisation unit

Price Statistics Division

1.3 Contact name

Margarita Jakubelskienė

1.4 Contact person function

Adviser

1.5 Contact mail address

29 Gedimino Ave., LT-01500 Vilnius, Lithuania

1.6 Contact email address

margarita.jakubelskiene@stat.gov.lt

1.7 Contact phone number

+370 5 236 1415

1.8 Contact fax number

+370 5 236 4791

2 Metadata update
2.1 Metadata last certified

2018-04-23

2.2 Metadata last posted 2020-03-20
2.3 Metadata last update 2020-03-19
3 Statistical presentation
3.1

Description of statistical information (main characteristics, purpose)

The objective is to determine the overall price change for goods imported to the territory of the Republic of Lithuania over a certain period of time.

Price changes and weights over the month, year and from the beginning of the year are published.

Statistical information is published according to the Statistical Classification of Products by Activity in the European Economic Community (CPA 2.1) divisions (2-digit level), section (1-letter level) and all-items IPI, also by the Main Industrial Groupings at the national level.

In various statistical domains (National Accounts and Foreign Trade Statistics divisions), IPI is used as a deflator. IPI is required for the calculation of macroeconomics indicators at constant prices, economic development analysis, forecasts.

3.2

Classifications(s), classification system

Combined Nomenclature (CN);

Classification of Products by Activity (CPA 2.1);

Nomenclature of Countries and Territories.

3.3 Sector coverage

CPA 2.1 sections.

3.4 Statistical concepts and definitions

Import price index (IPI) is a relative indicator measuring the overall change in prices for goods and services purchased by the residents of the country from abroad over a certain period of time.

Price index is a relative indicator showing the price change over a certain period of time.

Index reference period is the reference period with the index equated to 100 points. Having the time series of price indices calculated with a single index reference period, it is possible to determine the IPI for different periods.

Price reference period is a reference period based on the price level in which the overall change in prices is measured.

Weight reference period is the reference period the data of which are used for calculating index weights.

Weight is the volume of goods of a certain level of classification in value terms, compared to a higher level of volume of goods in value terms during the reference period. The higher the weight, the stronger the effect of change in prices for goods of a certain classification level on the change in prices for goods and services of the higher classification level.

3.5 Statistical unit

Residents (enterprises of various forms of ownership) importing goods.

3.6 Statistical population

Enterprises are chosen with a record of stable production and large share of sales in the respective CPA 2.1 product heading, i.e. the reporting units selected should cover more than 50 per cent of import in the respective CPA 2.1 product heading. Small enterprises with less than 4 persons employed are not covered.

3.7 Reference area

The entire territory of the country

3.8 Time coverage

Since 2006

3.9 Base period

2015

4

Measurement unit(s)

Index;

Weights and price changes – per cent.

5 Reference period

Month

6 Institutional mandate
6.1 Legal acts and other agreements

Commission Regulation (EC) No 1165/98 of 19 May 1998 concerning short-term statistics (OJ 2004, special edition, chapter 13, volume 20, p. 291), as amended by Regulation (EC) No 461/2012 of the European Parliament and of the Council of 31 May 2012 (OL 2012 L 142, p. 26);

Commission Regulation (EC) No 1503/2006 of 28 September 2006, implementing and amending Council Regulation (EC) No 1165/98 concerning short-term statistics as regards definitions of variables, list of variables and frequency of data compilation (OJ 2006 L 281, p. 15).

6.2

Data sharing and exchange

7 Confidentiality
7.1

Confidentiality policy

In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees the confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of Statistics Lithuania.

7.2 Confidentiality - data treatment

Description of Statistical Disclosure Control Methods, approved by Order No DĮ-124 of 27 May 2008 of the Director General of Statistics Lithuania.

Integrated Statistical Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the Integrated Statistical Information System, approved by Order No DĮ-42 of 20 February 2015 of the Director General of Statistics Lithuania (only in Lithuanian).

8 Release policy
8.1 Release calendar

 Statistical information is published on the Official Statistics Portal according to the Official Statistics Calendar

8.2

Link to the release calendar

Official Statistics Calendar

8.3

Release procedure

Statistical information is published following the Official Statistics Dissemination Policy Guidelines and Statistical Information Preparation and Dissemination Rules.

9 Frequency of dissemination

Monthly

10 Accessibility and clarity
10.1 News release

The IPI is published in a news release on rates of change in prices for exported and imported goods on the 53rd–56th day after the end of the reference month.

10.2

Publications

Statistical information is released in an annual publications Lithuania in Figures and Statistical Yearbook of Lithuania.

10.3

Databases

Database of Indicators (Economy and finance -> Price indices, changes and prices -> Import price index (IPI), price changes and index weights)

10.4

Access to micro data

Microdata are available and provided for scientific purposes according to the provisions set in the Description of Procedures for the Provision of Confidential Statistical Data for Scientific Purposes. More information is available on the Official Statistics Portal, at Data for scientific purposes.

Public data files: users are also provided with opportunity to access public files with statistical data on observation units. More information is available on the Official Statistics Portal, at Public data files.

10.5 Other

11

Methodological documentation

Price indices, changes and prices

12 Quality management
12.1 Quality assurance

The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice and ESS Quality Assurance Framework

In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. The main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy. Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify the areas which need improvement and to promptly eliminate the shortcomings.

12.2 Quality assessment

Prices for imported goods in the reference month are compared with the previous month, respective month of the previous year, December of the previous year. When outliers are obtained, primary statistical data on prices are once again checked by contacting enterprises.

Statistical survey managers periodically perform self-assessment – to evaluate statistical survey processes; moreover, statistical questionnaire control testing is performed.

13 Relevance
13.1 User needs

The main users of statistical information are European Commission institutions, international organizations, Member States, business and science. The national accounts, foreign trade statistics are also using the IPI.

13.2 User satisfaction

From 2005, user opinion surveys have been conducted on a regular basis. Official Statistics Portal traffic is monitored, website visitor opinion polls, general opinion poll on the products and services of Statistics Lithuania, target user group opinion polls and other surveys are conducted. In 2007, the compilation of a user satisfaction index was launched. The said surveys are aimed at the assessment of the overall demand for and necessity of statistical information in general and specific statistical indicators in particular.

More information on user surveys and their results is available in section User surveys on the Statistics Lithuania website.

13.3

Completeness of statistical information

Statistical information is in line with the requirements set in the legislation and published in accordance with the classification levels by markets: total, Euro area and non-Euro area.

13.3.1

Data completeness - rate

100 per cent of information produced in accordance with the Official statistics programme Part I is published.

14 Accuracy and reliability
14.1 Overall accuracy

For IPI calculation, imported goods categories are selected according to CN codes at the 8-digit level. A cut - off sampling method is applied to the selection of product categories (codes), enterprises and representative goods. Imported goods which are applied special requirements are not selected.

The IPI results obtained are analysed, looking for errors which may affect the final results. Monthly price changes are calculated; attention is paid to those representative product price changes which are - 10 and - –10 per cent, as well as those prices which changed due to quality, the change of season. Moreover, special attention is paid to those price changes which influence the overall change in the IPI the most.

14.2

Sampling error

14.3

Non-sampling error

14.3.1

Non-response error

14.3.1.1

Unit non-response rate

Response rate – 100 per cent.

2020 yr. months
1 2 3 4 5 6 7 8 9 10 11 12
14.3.1.2

Item non-response rate

Statistical units does not submitted the prices

of which:

due to seasonality

due to other reasons

 

 

 

 

 

 

 

 

 

 

 

– 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

15 Timeliness and punctuality
15.1

Timeliness

Statistical information is published on the 53rd–56th day after the end of the reference month.

15.2

Punctuality

Statistical information is published in accordance with an Official Statistics Calendar. In case of delay, users are notified in advance by indicating the reason and a new date of publication.

15.2.1

Percentage of statistical information released on time

100 per cent

16 Coherence and comparability
16.1

Geographical comparability

The definitions of indicators, their objectives, characteristics and calculation methods are described in Commission Regulation (EC) No 1503/2006, Annex I. Each Member State shall transmit to the Commission, at its request, any relevant information on the conformance of statistical data to the definitions set forth in Annex I to this Regulation.

16.2

Comparability over time

From 1996 to 2006, import unit value indices (IUVI) were calculated on a quarterly basis. Since 2006, IPI is calculated on a monthly basis; therefore, price indices at a more detailed level are not comparable for 1996–2006.

16.2.1

Length of comparable time series

The overall quarterly IUVI time series is directly linked with IPI time series. From 2006, imported products have been classified and IPIs have been calculated and published based on the CPA 2008. Before 2006, the Combined Nomenclature was applied; therefore, price indices at a more detailed level are not comparable. IPIs at a more detailed CPA 2008 level are comparable since 2006.

17 Coherence
17.1

Cross-domain coherence

17.2

Internal coherence

The IPI is internally coherent. Lower-level price indices are aggregated to higher-level indices according to the CPA.

18

Response burden

The average time spent by respondents on the filling in of the statistical questionnaire KA-24 (annual) – 3 hours, KA-25 (monthly) – 1 hour.

19

Data revision

19.1

Revision policy

The revision policy of Statistics Lithuania is provided in the document General Principles behind the Performance, Analysis and Announcement of Revisions of Statistical Indicators.

19.2

Revision practice

The IPI for January–March of the reporting year is calculated using provisional foreign trade statistics for the previous year as weights. In June, as revised foreign trade statistics have been received, weighs are revised and used for the calculation of IPIs for April–December. IPIs for January–March are also recalculated. Revisions are conducted in accordance with an approved statistical information revision calendar.

19.2.1

Average of the change obtained during the revision

20 Statistical processing
20.1

Statistical data source

The main statistical data source is a sample statistical imported goods price survey. Additional statistical data source – foreign trade statistical data on the value and amount of imported goods.

20.2

Periodicity of statistical data collection

Monthly

20.3

Statistical data collection

Statistical data are collected using statistical questionnaire forms KA-24 (annual) and KA-25 (monthly), transmitted by the electronic statistical business data preparation and transfer system e-Statistics or by mail. Statistical questionnaire (only in Lithuanian).

20.4

Statistical data validation

Statistical data control requirements are set in the survey programming technical task.

An error protocol is formed from the errors detected, containing the error code, error text, error attribute, indicating whether the error must be corrected or may be ignored. Errors can be logical and arithmetical; they may have been made by the respondent, occurred at the data entry or processing stage.

In order to ensure statistical data quality, additional primary data check is performed (reediting, statistical data validation). The error protocol is checked, links between the indicators are analysed, etc. Statistical data are corrected taking into account error types: some errors can be ignored, while others must be corrected.

20.5 Data compilation

Primary statistical price data are adjusted due to changes in the quality of goods. Where the quality of the new (replacement) representative product is considerably different from that of the original (replaced) one, the impact of the change in quality on the price rise or drop is estimated. In order to maintain comparability between the price of the new (replacement) and the original (replaced) product, the quality of the products must be harmonised. The quality of the products is harmonised by correcting the price of the original (replaced) product in the base period through eliminating the influence of quality change. This is done by adjusting the price of the replaced product in the base period by eliminating the impact of changes in quality.

The IPI is calculated from the lowest level, i.e. representative products, to the highest level, i.e. the all-items IPI. In calculating the IPI, the Laspeyres formula is applied. The lowest-level price indices are then aggregated to higher-level price indices according to the Laspeyres formula according to CPA classification levels: subcategories (6-digit level), categories (5-digitlevel), classes (4-digit level),  groups (3-digitlevel), divisions (2-digit level), sections (1-letter level) and all-items IPI. Fixed base weights are used for aggregation. The IPIs for the reference year are linked to the previous year IPIs using a chain-linking method (linking period – previous year).

Compilation of the import price index methodology (only in Lithuanian).

20.6 Adjustment

21

Comments and other information

Export and Import Price Indices Manual: Theory and practice, 2009

Methodology of short-term business statistics. Interpretation and guidelines.