guidelines for phase 1 of the project “micro data linking...

Guidelines for phase 1 of the project “Micro Data Linking of structural business statistics and other business statistics”

Table of Contents

1 MDL database in general......................22 Phases of the Micro Data Linking project23 Database structure..............................44 Design of database..............................54.1 Core population of the MDL database............54.2 Entities in the MDL database.........................65 Building the MDL database...................75.1 Dataset of core population.............................76 Data sources and variables...................86.1 Data source 1, National Business Register.....96.2 Data source 2, Structural Business Statistics106.3 Data source 3, International Trade in Goods Statistics 116.4 Data source 4, International Trade in Services Statistics 116.5 Data source 5, Community Innovation Survey116.6 Data source 6, ICT Usage and e-Commerce in enterprises Survey 126.7 Data source 7, Outward Foreign Affiliates Statistics 126.8 Data source 8, Inward Foreign Affiliates Statistics 136.9 Data source 9, Business Demography Statistics 136.10 Data source 10, International Organization and sourcing survey 146.11 No-match populations..................................147 Time table and deliverables................157.1 Timetable.....................................................157.2 Deliverables.................................................168 Description of and guidance to the delivered syntax 168.1 Modification of syntax..................................17Annex A: Variable lists................................19Annex B: Description of GVC dataset............26

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This document contains detailed guidelines for the Eurostat project on micro data linking of structural business statistics and other business statistics (Topic 1).

The project will establish national databases containing the most central structural business statistics, with information available at enterprise level. This will be used to conduct micro-level economic analyses of essential issues such as differences in economic performance in exporting and non-exporting enterprises or innovative enterprises.

Beyond this, the project will provide the basis for further analyses in the future, based on the national databases established in the project.

1 MDL database in generalTo the extent possible, the new MDL database (MDL 2014) will be structured using input data for the reference period of 2008-2012 from Structural Business Statistics, International Trade in Goods Statistics, International Trade in Services Statistics, Community Innovation Survey, ICT usage and e-Commerce in enterprises Survey, Foreign Affiliate Statistics (Inward and Outward), Business Demography Statistics, International Organization and Sourcing Survey and the national Business Register.

Information from the National Business Register will be central for establishment of the database as the issue of identity over time is essential for longitudinal micro-level analysis.

It is the aim of this project to establish datasets with micro data for consolidated longitudinal panels during the period 2008-2012 controlled for demographic events such as mergers, acquisitions, enterprise group relations, birth and death of enterprises. Separate guidelines for this part of the project will be provided during phase 2 (starting in June 2014). The three phases of the project are presented shortly in the following section.

2 Phases of the Micro Data Linking project

The micro data linking project is divided into three phases:

2

Three project phases

1. Matching and adjustment of data and structuring of database(Data sources, variables and reference periods)

2. Validation controls and calculation of weights for the control group population(s) where necessary(Demographic events and relations and weights for control group according to the composition of the target population (which will be defined for a given analysis, e.g. innovative enterprises)

3. Production of standardized output(Descriptive statistics, longitudinal and regression analysis)

The micro data linking project and its phases are illustrated in figure 1.

Figure 1: The phases of the MDL 2014-2015 project

3

International Trade in Services Statistics

ICT and e-Commerce in enterprisesSurvey

OFATS

Community Innovation Survey

NationalBusiness Register

Unique Enterprise ID

Unique Enterprise Group ID

IFATS

(GVCSurvey)

DataAssembly by Unique Enterprise

ID/Enterprise Group ID

Production of outputusing standarized SAS syntax in each NSI

InternalValidation Controls Across Different Data Sources

Controlsfor Demographic Events in Data

Cross Country Analysis, Statistics Explained

MDL Database

PHASE1 (2014)

d

PHASE2 (2014)

PHASE3 (2014-2015)

InternationalTrade in GoodsStatistics

StructuralBusiness Statistics

Business Demography

Phases 1, 2 and 3 will run simultaneously in 2014 to some extend, while in 2015 the focus of the project will be on phase 3 and also summarizing the MDL methodology established in the project.

This document contains guidelines for phase 1, matching and adjustment of variables from different data sources and structuring of datasets.

4

3 Database structureOn the basis of the 101 data sources with 5 reference years each (besides the GVC survey), the database will hold a total of 46 datasets.

9 data sources will be stored in 5 annual datasets with information aggregated on enterprise level. Furthermore there will be one dataset for the International Organization and Sourcing Survey that covers the whole period from 2009 to 2011. Finally the database vil will hold one dataset with key information about the coverage of the database (see section 4.1).

Each of the datasets will hold selected variables from the data source (see the detailed sections for each datasource, as well as Annex A). The primary key of the database will be the enterprise ID (ENT_ID). Information from different sources will be extracted using the whole population of the given data source on enterprise level (ENT_ID).

However, the enterprise group ID (ENTgr_ID) will be stored with the enterprise ID in the annual datasets, with information from the Business Register and it will be used as a secondary key in the database. This information will be used for the purpose of linking of OFATS data, for the purpose of validation of data and also possibly in order to aggregate data for analysis.

4 Design of database

4.1 Core population of the MDL database

Initially the core population of the database is planned to cover all active2 enterprises according to the SBS statistics for each of the years 2008-2012. However, in order to keep as much information as possible in the MDL database, the core population will be 1 The International Organisation and Sourcing Survey data (GVC) is not available in all participating NSIs. This dataset will be omitted from the database in these countries.2 Eurostat defines “active” enterprises as enterprises where a workload corresponding to at least half man-year is carried out in one reference year. However, for new enterprises the activity is sufficient already when it reaches half of this activity limit.

5

Annual dataset for each data source

Enterprise ID as the primary key

All unique enterprise IDs in 2008-2012 will be the

core population

ALAJAASKO Pekka (ESTAT), 19-06-14,

Labor Cost Survey was suggested by DE in the Lisbon meeting as an alternative/complementary/additional data source because they did not participate in the second GVC/IS survey.

ALAJAASKO Pekka (ESTAT), 06/19/14,

In the footnote I woulod refer to the regulations(s) – here I guess SBS and BD.

constructed of unique enterprise IDs for all enterprises from all sources (not delineated to the non-financial business economy) for all reference periods between 2008 and 2012.

Thus, the core population will hold ENT_IDs that might not exist in each of the reference years in one or more of the data sources, but have prevailed at least once in one or more of the statistical sources (besides the Business Register) during the period of 2008-2012.

For the purpose of structuring data and documentation, one dataset with key information will be stored in the database. This dataset will hold all unique enterprise IDs and express which data sources hold information on the given ENT_ID.

Table 1: Example of dataset with core population of the MDL database

ENT_IDSBS 2008

SBS 2009

SBS 2010

SBS 2011

SBS 2012

ITGS 2008

ITGS 2009

ITGS 2010

ITGS 2011

ITGS 2012

ITS 2008

ITS 2009

…ETC.

A 1 1 1 1 1 1 1 1 1 1 1 1B 1 1 0 1 0 0 1 1 1 1 1 1C 0 1 0 1 0 1 0 1 1 1 1 0

Table 1 illustrates how the dataset with the core population of the MDL database will look. For each unique ENT_ID variables describing in which reference periods of the different data sources this particular enterprise ID is present (1=ENT_ID prevails in the dataset, 0= ENT_ID does not prevail in the dataset) will be stored.

In the example above, the first record shows that ENT_ID A is present in all the mentioned sources for all reference years, while the second row illustrates that ENT_ID B that is not found in SBS 2010 and SBS 2012; the ENT_ID C described in the third row is not present in the SBS 2008, SBS 2010, SBS2012, ITGS 2009 and ITS 2009).

The core population of the database is expected to exceed the number of unique enterprise IDs in each of the data sources due to the fact that we will include enterprise IDs that only prevail in one or few data sources. This approach will be helpful during the validation and analytical phase of the project.

Various data sources in the database do not cover the whole core population as described above. Methods for imputation and repetitive re-weighting to correct for selective samples

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No total compliance between data sources


Here do you mean what you write in section 6.1 in the second paragraph!?

will be considered and implemented where necessary at a later stage of the project.

4.2 Entities in the MDL database

As some type of information related to for instance foreign affiliates, R&D activities or exports might be more correctly linked and interpreted at the level of the enterprise group, it is the intention – if the methodological analysis proves the feasibility of this – to aggregate, disaggregate and analyze data from the different data sources at both enterprise and enterprise group level.

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Enterprise levelEnterprise group

level

Figure 2: Structure of the MDL 2014-2015 database

20082009

2010

2011

2008200820082008

2008

2008

200820082008

2009

2010

2011

StructuralBusiness Statistics(SBS)

2012

2009

2010

2011

InternationalTrade in Goods Statistics(ITGS)

2012

2009

2010

2011

InternationalTrade in Services Statistics(ITS)

2012

2009

2010

2011

Community InnovationSurvey (CIS)

2012

2009

2010

2011

ICT Usage and e-Commerce in enterprises Survey (EC)

2012

2009

2010

2011

Outward FATS (OFATS)

2012

2009

2010

2011

Inward FATS (IFATS)

2012

2009

2010

2011

Business Demography (active, births and deaths) (BD)

2012

International Organization and Sourcing Survey(GVC)

2012

20092010

2011 National Business Register

(ENT_IDs, ENTgrp_ID,NACE,legal form, start/end dates etc.)

2012

CORE POPULATION

Unique ENT_IDs

from all data sources in each of the years 2008-2012

5 Building the MDL database

5.1 Dataset of core population

As mentioned earlier the MDL database will take its offset in the core population of enterprise identification numbers that exist in one or more years (2008-2012) in one or more of the following data sources: SBS, ITGS, ITS, CIS, EC, OFATS, IFATS, BD and GVC.

All the enterprise IDs from the core population will be stored in each of the National? Business Register datasets for 2008, 2009, 2010, 2011 and 2012 with the relevant background information. Thus, even IDs of inactive enterprises in a given reference year might be in the dataset – in that case all values for the particular reference year will be missing (.).

Each enterprise ID will occur in the core population of the MDL database only once.

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Establish core population

In order to make construction of the database less time consuming, the standard syntax provided along with this guideline will help re-naming and formatting the EU-variables to MDL standard.

Each of the datasets described in the next section will hold selected variables from the relevant data source and the primary key to connect the datasets will be the enterprise ID (ENT_ID).

Information on the link between ENT_ID and enterprise group ID (ENTgr_ID) will be stored in the dataset with information from the national Business Register and will be used during the validation phase and for production of standardized output.

Analytical output will be produced at a later stage of the project, using standardized syntax that will combine the relevant datasets and extract the required information in a harmonized manner in each participating NSI.

6 Data sources and variablesThe period of measurement to be included in this project is 2008-2012. All data sources should be available covering the whole period at the latest in autumn 2014. The International Organization and Sourcing Survey data covers the period of 2009-2011 only.

Data sources for the MDL 2014-2015 database are:

BR, National Business Register, 2008-2012

SBS, Structural Business Statistics, 2008-2012

ITGS, International Trade in Goods Statistics, 2008-2012

IS, International Trade in Services Statistics, 2008-2012

CIS, Community Innovation Survey, 2008-2012

ECICTeC, ICT usage and e-Commerce in Enterprises Survey, 2008-2012

IFATS/OFATS, Foreign Affiliate Statistics, 2008-2012

BD, Business Demography Statistics, 2008-2012

GVC, International Organization and Sourcing Survey, 2009-2011

9

Standardized syntax will use EU-variable names

to build the database files

Output will be produced using standard syntax

Reference period for all sources: 2008-2012


This data set is called ICT later on. I prefer that EC sounds like European Commission. It could be also called ICTeC

If not available initially, data for the reference period 2012 should be added to the database when available. All guidelines will initially assume availability of this reference period in each NSI.

The variables to be included in the database have been selected on the basis of the metadata reports from the participating countries. It has been decided to exclude a few variables from the project. The decision were taken first of all due to low availability but also after an assessment of the variable’s contribution to the database.

The following variable has been excluded:- BR: END_NACE_M (End date for the main

activity)- BR: END_NACE_S (End date for the secondary

activity)- CIS: MKTMET (New or significantly changed

sales or distribution methods)- ECICTeC: EMPINTRAPCT (% of workers with

access to intranet)

Moreover, nace NACE codes have been excluded from all data sources except BR.Each of the data sources for the database and the contents to be included in the analysis are presented in the next section.

6.1 Data source 1, National Business Register

The datasets with information from the national Business Register should hold all enterprise IDs from the core population in each of the annual Business Register datasets. Thus, even IDs of inactive enterprises in a given reference year might be in the dataset – in that case all values for the particular reference year will be missing (.).

Therefore, the datasets with information from the national Business Register will exceed the amount of records in the annual SBS datasets. Including information on all enterprise IDs during the whole period helps data mining in order to establish longitudinal panels without searching for data in sources outside the MDL database. The datasets based on the national Business Register will first and foremost hold information

10

Data 1: BR


See may earlier comment.

on the link between the unique enterprise ID and unique enterprise group ID3.

The following information will be included in these datasets where possible:

Enterprise ID Enterprise Group ID Administrative ID Start date for the enterprise ID End date for the enterprise ID Start date for the enterprise Group ID End date for the enterprise Group ID Legal form of the enterprise ID Main activity of the enterprise Secondary activity of the enterprise Ownership of the enterprise

(private/public) Start date for the main activity Start date for the secondary activity Ownership relation with associated direct

ownership indicated as percentages for each enterprise ID

Information on demographic relations (mergers and acquisitions etc.)

6.2 Data source 2, Structural Business Statistics

The population of enterprises from Structural Business Statistics (all size classes) with unique enterprise ID numbers will be the base of SBS datasets in the MDL database.

Thus the annual datasets with SBS will hold enterprise IDs of all active enterprises in the given reference year. In result, the MDL database will cover all ENT_IDs that prevail at least once in this data source. Later in phase 2 of the project, information from the national Business Register will be used to examine population(s) of ENT_IDs that do not exist in all of the reference years between 2008 and 2012 in order to investigate and if necessary correct the population for demographic events.

Information from SBS to be included in the database is:

3 This applies only in MS where unique enterprise group ID number is available.

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Information from BR

Data 2: SBS


Number of person employed could be added, since we devide turnover, value added and operating surplus by employment.

Turnover Value added at factor cost Gross operating surplus Total purchases of goods and services Personnel costs Wages and salaries Number of employees Number of employees in full-time

equivalents

Derived variables based on these, i.e. turnover, value added, personnel costs, total purchases of goods and services, and gross operating surplus per employee will be calculated automatically using a standard syntax provided by the project coordinators, at a later stage of the project.

6.3 Data source 3, International Trade in Goods Statistics

All enterprises from the annual International Trade in Goods statistics will be included in the MDL database. This data source might have multiple records for each unique enterprise ID. Therefore, these datasets records?? will be aggregated during production of standardized output according to the need for information to be extracted.

Annual information from ITGS to be included is:

Import amount by country of origin and product

Export amount by country of destination and product

6.4 Data source 4, International Trade in Services Statistics

Population of enterprises IDs in the International Trade in Services statistics for the period of 2008-2012 will be included in the database.International Trade in Services statistics might have multiple records for each unique enterprise ID. Thus, this dataset records?? will be aggregated during production of standardized output according to the need for information to be extracted.

Information from ITS to be included is:

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Information from SBS

Data 3: ITGS

Information from ITGS

Data 4: ITS

Import amount by country of origin and EBOPS4Export amount by country of destination

and EBOPSData source 5, Community Innovation SurveyData 5: CIS

All enterprise IDs and selected variables from the Community Innovation Survey for the period of 2008-2012 will be included in the database.Data from CIS is expected to be available on the level of enterprise, so each ENT_ID will only occur in this dataset once per reference year. However, some enterprises might be reporting on behalf of more enterprises. Corrections for such information will be handled during validation of the database in phase 2 of the project.

Types of information from CIS to be included in the database are:

Product innovation by technology level Process innovation by technology level Organizational innovation by technology

level Marketing innovation by technology level Engagement in R&D R&D costs R&D employment

6.5 Data source 6, ICT Usage and e-Commerce in enterprises Survey

Population of enterprises from the ICT Usage survey (ECICTeC) for the period of 2008-2012 and associated variables will also be included in the MDL database.

Types of information from EC ICTeC for data 6 are:

ICT and ICT security and ICT-systems in enterprise

Internet access and access ways, homepage and use of internet

Amount of e-sales Amount of internet purchases Amount of electronic data exchange with

external ICT system

4 EBOPS = Extended Balance of Payments Services Classification

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Information from ITS

Information from CIS

Data 6: ECICTeC

Information from ECICTeC

6.6 Data source 7, Outward Foreign Affiliates Statistics

All available enterprise IDs and enterprise group IDs from Outward Foreign Affiliates Statistics (OFATS) for the period 2008-2012 will be included in the database.

Data on foreign affiliates might contain multiple records for each unique enterprise ID number. In order to keep most information in the database for later use, this these dataset records?? will also be aggregated during production of standardized output according to the need for information to be extracted.

Both enterprises that are ultimately owned by the compiling country (UCI=compiling country) and ultimately owned from abroad (where available) should be included. Affiliates iBoth intra-EU and extra-EU affiliates will be covered.

Types of information from OFATS to be included in the database are:

Number of foreign affiliates by NACE and host country

Number of persons employed in foreign affiliates by NACE and host country

Turnover of foreign affiliates by NACE and host country

6.7 Data source 8, Inward Foreign Affiliates Statistics

Information on all ENT_IDs from the Inward FATS for each of the years 2008-2012 will also be included in the database.

Information from IFATS to be included in the MDL database is:

Country of ownership, 2008-2012

6.8 Data source 9, Business Demography Statistics

The database will also hold populations of all enterprise IDs annually in the population of active, newly born and dead enterprises.

Information from Business Demography to be included in the database is:

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Data 7: OFATS

Information from OFATS

Data 8: IFATS

Information from IFATS

Data 9: BD


Why don’t we include the IFATS characters? The IFATS list fo characters could be the same as the SBS as far as possible: Number of employees in full-time equivalents is not available but there are R&D related variables, which could be and are linked to CIS variables R&D costsR&D employment.


This sentence I don’t understand!? We are talking about OFATS! Are we not interested in the reporting enterprises i.e. the consolidated enterprise group in the UCI country and thus only the domestic part!?

Population of active enterprises (enterprise IDs)

Population of births of enterprises (enterprise IDs)

Population of deaths of enterprises (enterprise IDs)

All enterprise IDs from the population of enterprise births within the market economy in the Business Demography should be present in the SBS population of active enterprises for the same reference year.

Nevertheless – considering all data sources - there might be shifts in timing of data collection and reference period of the statistical source between the Business Demography active enterprises count and extraction of population for the other statistical sources.This can result in populations of enterprises in one or more of the data sets (ECICTeC, CIS and OFATS) that do not exist in the list of active enterprises in Business Demography for the same reference year.

Such no-match populations will be examined using information from the national Business Register according to the guidelines that will be provided by the project coordinators.

Population of enterprise deaths is revised one year after first publication of the statistics. Due to time restrains, this project will only include the preliminary version of enterprise deaths for 2012, while the populations for 2008-2011 will be the revised populations.

6.9 Data source 10, International Organization and sourcing survey

Enterprise level data from International Organization and Outsourcing survey will also be included in the MDL 2014 database.Each enterprise ID will occur in the population of this dataset only once even though the coverage of data is 2009-2011.

There will be created iIdentical GVC dataset will be created for each year 2008-2012 by the syntax. This is done because it will be usefull to have data structured this way later on, even if the reference years does not correspond to 2008-2012.

15

Information from BD

Data 10: GVC

Types of information from the GVC survey to be included in this dataset are:

Enterprise group Enterprise employment by business

functions International sourcing Back-sourcing: Yes/No question and

motivation factors Relocation Foreign affiliates Supplying enterprises abroad

6.10 No-match populations

Due to cut-off, delineation and mode of collection there might be enterprise IDs in the different data sources that do not occur in the SBS population for the same reference year or even the population of active enterprises from Business Demography for the same year. These populations will be examined thoroughly using information from the national Business register.

The no-match populations can mainly be grouped into three types:

1. ENT_ID exists in the population of active enterprises of Business Demography, but not in other sources for the same reference year

2. ENT_ID exists in the particular data source, but not in the active enterprises for the same reference year

3. ENT_ID exists in one of the statistical data sources, but does not find a match in the Business Register data

The differences in population of the various data sources can be valid and happen due to invalid ENT_IDs, differences in coverage of the data sources, differences in reference period for data collection of the various data sources and enterprises using different enterprise identification across different statistical domains.

16

Information from GVC

Analyze the no-match populations

7 Time table and deliverables

7.1 Timetable

Figure 3: Agreed timetable of the projectJAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC

Production of standardized

outputTF1 TF2

JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC

TF 3 TF4Stat.Expl. 1 Stat.Expl. 2 Stat.Expl.3

2014

2015

Construction of the MDL databaseValidation of longitudinal panels

Production of standardized outputMethodological report (MDL database)

Methodological report (analysis)

Figure 3 shows the agreed timetable for the project. These guidelines for establishing the database, makes it possible for the participating countries to construct their national database by the end of August 2014.This process includes:

Collection of data from all relevant sources for 2008-2012

Extraction of the core population Delineation of all data sources to the

core population Re-naming variables according to the

guidelines Calculating derived variables according

to the guidelines

The next step of the project will be phase 2, about valdating the database across data source and reference periods as well as producing the first standardized outputs.

There will be distributed Guidelines for this process by the end of June from the project coordinators.

7.2 Deliverables

This micro data linking project is divided into five deliverables as explained in previous workd dokcuments. Fulfilling the tasks presented in this guideline will complete deliverable 1, as outlined below:

MDL database established in all participating NSIs with harmonized data contents and structured in SAS with the purpose of being capable of producing standardized output for

17

Phase 1 of the project will run until August

2013

Next step

Deliverable 1

analytical purposes in SAS format, as defined in Topic 3.

8 Description of and guidance to the delivered syntax

Along with this guideline, the NSIs have received 14 SAS programs. These are:

000. Extract_core_data.sas 00.Logsummary.sas 0.Rename datasets.sas 0. Building SBS dataset.sas 0. Building ITGS dataset.sas 0. Building ITS dataset.sas 0. Building CIS dataset.sas 0. Building ICT dataset.sas 0. Building IFATS dataset.sas 0. Building OFATS dataset.sas 0. Building BD dataset.sas 0. Building GVC dataset.sas 0. Building BR dataset.sas 1. Building MDL database.sas

All programs should be saved on to a directory in the NSI. It’ll It will only be necessary to modify in the program “1. Building the MDL database.sas”.

The NSI should place datasets from all sources in one common directory. The datasets can be named anything, but must end with “_YYYY” (where YYYY is the reference year for the dataset. The exception to this rule is for the countries that have the GVC datasets, where there by definition will be only one dataset.

Example:The Danish datasets for OFATS could be named: “Examplename_OFATS_DK_2008”, “Examplename_OFATS_DK_2009”, …, “Examplename_OFATS_DK_2012”.

If the NSI does not have a given data source completely, the NSI must create an empty dataset.

This must also be done for data sources that are not yet available (e.g. SBS_2012), until the point in time where the data is available, and the syntax can be run again.

For the GVC, there will be countries that do not have this data. The project coordinators have

18

Delivered programs

Indata files

Missing data sources


See my earlier comments on this - ICTeC

issued a blank dataset along with this guideline, to place in the in-data folder.

If the NSI does not have all the variables asked in a given data source, there must be variables added to the datasets of this source, to correspond to those not available. The added variables should containing missing values (.).

There must be created aA variable that tells if the unit is observed (1) or imputed (0) to each relevant data source must be created.

8.1 Modification of syntax

The first modifications necessary will be to enter the names of 3 directories in the NSI:

A directory where the SAS programs delivered along with this guideline is stored

A directory where the NSI have placed the indata files to be part of the database from all the sources

A directory where the MDL 2014-2015 database files will be stored

The NSI must then enter in the syntax the names of the NSI files from each data source. Only the name before the final _ should be entered.

Example:The previous example of Danish datasets for OFATS (“Examplename_OFATS_DK_2008”, etc), would be entered into the syntax as such:

%datasets (sbs= Examplename_SBS_DK, itgs= Examplename_ITGS_DK, its= Examplename_ITS_DK, cis= Examplename_CIS_DK, ictent= Examplename_ICT_DK, ofats= Examplename_OFATS_DK, ifats= Examplename_IFATS_DK, bd= Examplename_BD_DK, gvc= Examplename_GVC_DK, br= Examplename_BR_DK);

As you can see the names are entered after the “=”.

The next step is to rename variable names, and create the MDL database

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Missing variables

Imputation of units

Directory names

Dataset names

Variable names

2014-2015. For each data source, there must be entered the name of the corresponding variable in the NSI dataset. Below is an example on how (where) to enter the NSI-names for the SBS dataset:

%SBS(ENT_ID=NSI-var_name /*=Unique enterprise identification from SBS*/,SBS_12110=NSI-var_name /*=Turnover*/,SBS_12150= NSI-var_name /*=Value added at factor cost*/,SBS_12170= NSI-var_name /*= Gross operating surplus*/,SBS_13110= NSI-var_name /*=Total purchases of goods and services*/,SBS_13310= NSI-var_name /*=Personnel cost*/,SBS_13320= NSI-var_name /*=Wages and salaries*/,SBS_16130= NSI-var_name /*=Number of emplyees*/,SBS_16140= NSI-var_name /*=Number of employees in full-time equivalents*/,SBS_type= NSI-var_name /*Code to show if data is observed or imputed in SBS*/);

There will be no renaming of variables for the GVC dataset. Most countries that have the GVC data, has participated in the MDL 2013 project. The MDL 2014-2015 will reuse the dataset created in that project. Therefore the NSI is asked to place the GVC file from MDL 2013 in the IN-data directory for processing.

For countries that do not have GVC data, an empty dataset is distributed to be put in the IN-data directory.

For countries that have the GVC data, and haven’t participated in the MDL 2013 project, there is a description of the required dataset in Annex B. If the creation of this dataset is a problem for these NSI’s, do not hesitate to contact the project coordinators.

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Renaming for GVC-dataset

Annex A: Variable lists

A1: Business register (BR)

Variable Data Source Label/Description Format Values

ENT_ID BR Unique enterprise identification Character XENTgrp_ID BR Enterprise Group ID Character XAD_ID BR Administrative ID Character XStart_Ent BR Start date for the enterprise ID Character Date DDMMYYYYEnd_ent BR End date for the enterprise ID Character Date DDMMYYYYSTART_ENTgr BR Start date for the enterprise Group ID Character Date DDMMYYYYEND_ENTgr BR End date for the enterprise Group ID Character Date DDMMYYYY

LEGAL BR Legal form of the enterprise ID Number

LL= Limited liability company - include limited liability partnerships and public corporations, SP= Sole Proprietor, PA= Partnership - exclude limited liability partnerships, GO= Government - local and central government - exclude public corporations, NB= Non profit body or mutual association, NP= Natural person(s) - include only if not involved in any economic activity – where economically active, code as sole proprietor, ND= Not defined

NACE_M BR Main activity of the enterprise (NACE 4-digit) Character 2016, 3320, etc.

NACE_S BRSecondary activity of the enterprise (NACE 4-digit) Character 2016, 3320, etc.

PUB BR Ownership of the enterprise (private/public) Number1=private, 2=public, 9=not available

START_NACE_M BR Start date for the main activity Character Date DDMMYYYYSTART_NACE_S BR Start date for the secondary activity Character Date DDMMYYYY

OWN_PCT BR

Ownership relation with associated direct ownership indicated as percentages for each enterprise ID Number

Percent (max. 2 decimals)

21

DEMO_REL BRInformation on demographic relations (mergers and acquisitions etc.) Character

0=”No demographic realation in ref. year”, 1=”Receiving employment from other enterprise in ref. year”, 2=”Transfers employment to other enterprise and cease to exist in ref. year”, 3=” Transfers employment to other enterprise and continues in ref. year”

A2: Structural Business Statistics (SBS)


SBS_12110 SBS Turnover Number

Amount (max. 2 decimals) (National currency)

SBS_12150 SBS Value added at factor cost Number


SBS_12170 SBS Gross operating surplus Number


SBS_13110 SBS Total purchases of goods and services Number


SBS_13310 SBS Personnel costs Number


SBS_13320 SBS Wages and salaries Number


SBS_16130 SBS Number of employees NumberAmount (max. 2 decimals)

SBS_16140 SBSNumber of employees in full-time equivalents Number

Amount (max. 2 decimals)

SBS_Type SBSCode to show if data (unit) is observed or imputed in SBS Number

1= observed, 2=imputed

A3: International Trade in Goods Statistics (ITGS)


ENT_ID ITGS Unique enterprise identification Character XSTAT_VALUE_ITGS ITGS Trade amount Number Amount (max. 2

22

decimals) (National currency)

Flow_ITGS ITGSCode to distinguish between import and export Number 1=import, 2=export

CL_AREA_GEO_ITGS ITGSPartner country (country of origin/destination) (2 letter code) Character FR, DE, IT etc.

CN08 ITGS Product nomenclature CN08 8-digit Character1011010, 84733080 etc.

ITGS_type ITGSCode to show if data (unit) is observed or imputed in ITGS Character

1=observed, 2=imputed

A4: International Trade in Services Statistics (ITS)


ENT_ID ITS Unique enterprise identification Character XSTAT_VALUE_ITS ITS Trade amount Number 1=import, 2=export

Flow_ITS ITSCode to distinguish between import and export Number


CL_AREA_GEO_ITS ITSPartner country (country of origin/destination) Character FR, DE, IT etc.

Bopitem ITS Service nomenclature EBOPS 3-digit Character 713, 842 etc

ITS_type ITSCode to show if data (unit) is observed or imputed in ITS Character

1=observed, 2=imputed

A5: Community Innovation Survey (CIS)


ENT_ID CIS Unique enterprise identification Character XENTGP CIS Enterprise part of a group (From BR) Character 0=No, 1=yesHO CIS Country of head office(From IFATS) Character FR, DE, IT etc.MAREUR CIS Other EU/EFTA/CC market Number 0=No, 1=yesMAROTH CIS All other countries Number 0=No, 1=yes

INPDGD CISIntroduced onto the market a new or significantly improved good Number 0=No, 1=yes

INPDSV CISIntroduced onto the market a new or significantly improved service Number 0=No, 1=yes

INPDTW CIS Who mainly developed these products Number

1=Your enterprise by itself, 2=Your enterprise together with other enterprises or institutions, 3=Your enterprise by adapting or modyfing goods or services originally developed by other enterprises or institutions, 4=Other enterprises or

23

institutions, missing=no answer

NEWMKT CISDid the enterprise introduce a product new to the market Number

0=No, 1=Yes, missing=no answer

TURNMAR CIS

% of turnover in new or improved products introduced during 2006-2008 that were new to the market Number

Percent (max. 2 decimals)

INPSPD CISIntroduced onto the market a new or significantly improved method of production Number 0=No, 1=yes

INPSLG CIS

Introduced onto the market a new or significantly improved logistic, delivery or distribution system Number 0=No, 1=yes

INPSSU CISIntroduced onto the market a new or significantly improved supporting activities Number 0=No, 1=yes

INPCSW CIS Who mainly developed these processes Number

1=Your enterprise by itself, 2=Your enterprise together with other enterprises or institutions, 3=Your enterprise by adapting or modyfing goods or services originally developed by other enterprises or institutions, 4=Other enterprises or institutions, missing=no answer

RRDIN CIS Engagement in intramural R&D Number 0=No, 1=yesRDENG CIS Type of engagement in R&D Number 0=No, 1=yes

RRDINX CISExpenditure in intramural R&D (in national currency) Number


RRDEXX CISPurchase of extramural R&D (in national currency) Number


RMACX CISExpenditure in acquisition of machinery (in national currency) Number


RTOT CISTotal of these four innovation expenditure categories (in national currency) Number


FUNLOC CISPublic funding from local or regional authorities Number 0=No, 1=yes

FUNGMT CIS Public funding from central government Number 0=No, 1=yesFUNEU CIS Public funding from the EU Number 0=No, 1=yes

FUNRTD CISFunding from EU's 6th or 7th Framework Programme for RTD Number 0=No, 1=yes

CO CISCooperation arrangements on innovation activities Number 0=No, 1=yes

ORGBUP CISNew business practices for organising work or procedures Number 0=No, 1=yes

ORGWKP CIS New methods of workplace organisation Number 0=No, 1=yes

ORGEXR CISNew methods of organising external relations Number 0=No, 1=yes

MKTDGP CISSignificant changes to the aesthetic design or packaging Number 0=No, 1=yes

MKTPDP CISNew media or techniques for product promotion Number 0=No, 1=yes

24

MKTPDL CISNew methods for product placement or sales channels Number 0=No, 1=yes

MKTPRI CIS New methods of pricing goods or services Number 0=No, 1=yes

CIS_TYPE CISCode to show if data is observed or imputed in SBS Number

1= observed, 2=imputed

A6: International Organization and Sourcing Survey (GVC)

See Annex B.

A7: ICT Usage and e-Commerce in enterprises Survey (EC)


ENT_ID EC Unique firm id Character X

BROAD EC Firm has broadband Character

1=yes, 0=no, 9=not applicaple, missing=no answer

AEBUY ECFirm orders through computer networks (websites or EDI) Character


AEBVALPCT EC % of orders through internet Number Percent

AESELL ECFirm sells through computer networks (websites or EDI) Character


AESVALPCT EC% of sales through computer networks (websites or EDI) Number Percent

IACC EC Firm has internet Character


EMPIUSEPCT EC % of workers with access to internet Number Percent

INTRA EC Firm has intranet Character


CUSE EC Firm uses computers Character


EMPCUSEPCT EC % of workers using computers Number Percent

WEB EC Firm has website Character


MOB EC Firm has mobile access to internet Character


DIALUP ECFirm uses a dial-up connection to access the internet Character


ITERP EC Enterprise Resource Planning Character


25

ADE EC Automated Data Exchange Character


ADESU EC to suppliers Character


INVREC EC receiving e-invoices Character


ADECU EC receiving orders Character


INVSND EC sending e-invoices Character


ADEINFO EC sending product information Character


ADETDOC EC sending transport documents Character


ADEPAY ECUse of ADE for sending payment instructions to financial institutions Character


ADEGOV ECUse of ADE for sending or receiving data to/from public authorities Character


SISU EC Sharing SCM data with suppliers Character


SICU EC Sharing SCM data with customers Character


CRMSTR ECshare of information with other business functions Character


CRMAN EC analyse information for marketing purposes Character


SISAINV EC sales: management of inventory levels Character


SISAACC EC sales: accounting Character


SISAPROD EC sales: production or services management Character


SISADIST EC sales: distribution management Character


SIPUINV EC purchases: management of inventory levels Character


SIPUACC EC purchases: accounting Character


26

ICT_Type EC Observed or not observed data (unit) Number1=observed, 2=imputed

A8: Outward FATS (OFATS)


ENT_ID OFATS Unique enterprise identification Character XENT OFATS Number of foreign affiliates Number Amount

EMP OFATSNumber of persons employed in foreign affiliates Number

Amount (max. 2 decimals)

TUR OFATS Turnover i foreign affiliates Number


CL_AREA_EE OFATS Host country of affiliates Character FR, DE, IT etc.

A9: Inward FATS (IFATS)


ENT_ID IFATS Unique enterprise identification Character XUCI_CO IFATS Country of ownership Character FR, DE, IT etc.

A10: Business Demography (BD)


ENT_ID BDUnique enterprise identification of enterprises in the BD dataset Character X

BD_code BDBD status in the reference year (born, active, dead) Number

1=born in reference year, 2=active entire reference year, 3=dead in reference year

27

Annex B: Description of GVC dataset

Variable Data Source

Derived from Label/Description Format Values

Ent_ID IS/Business Register

IS/Business Register

Unique enterprise identification number extracted from the Business Register

Character

X (accordin

g to the national format)

ENT_GRP IS/Business Register

Question 1 in questionnaire

if tickmarked in "yes, the group head" then ENT_GRP=1, if tickmarked in ”yes, the global group head” then ENT_GRP=1, if tickmarked in ”yes, a subsidiary – global group head in own country” then ENT_GRP=1, if tickmarked ”yes, a subsidiary – global group head in another EU contry” then ENT_GRP=1, if tickmarked ”yes, a subsidiary – global group head outside EU” then ENT_GRP=1, if tickmarked in "no" then ENT_GRP=0

Numeric integer

1=part of enterprise group,

0=not part of

enterprise group

GRP_STATUS ISQuestion 1 in questionnaire

if tickmarked in "yes, the group head" then GRP_STATUS=1, if tickmarked in ”yes, the global group head” then GRP_STATUS=1, if tickmarked in ”yes, a subsidiary – global group head in own country” then ENT_GRP=2, if tickmarked ”yes, a subsidiary – global group head in another EU contry” then GRP_STATUS=2, if tickmarked ”yes, a subsidiary – global group head outside EU” then GRP_STATUS=2, if tickmarked in "no" then GRP_STATUS=0

Numeric integer

1=group head,

2=subsidiary,

0=not part of

enterprise group

IS_ACT ISQuestion 2 in questionnaire

if tickmarked in "Internationally" one or more times then IS_ACT=1, else IS_ACT=0

Numeric integer

1=yes, 0=no

28

IS_CO_SUP ISQuestion 2 in questionnaire

if tickmarked "Internationallye" in only "Core business functions" then IS_CO_SUPP=1, if tickmarked "Internationally" in only (one or more) "Support business functions" then IS_CO_SUP=2, if tickmarked "Internationally" in both "Core business functions" and (one or more) "Suppport business functions" then IS_CO_SUP=3, else IS_CO_SUP=. (missing)

Numeric integer

1=core function sourced

internationally,

2=support function

sourced internatio

nally, 3=both

core and support

functions sourced

internationally, .=n

o internatio

nal sourcing

IS_ENT_GRP ISQuestion 3 in questionnaire

if tickmarked only in "Within the enterprise group" then IS_ENT_GRP=1, if tickmarked only in "To other foreign enterprises" then IS_ENT_GRP=0, if tickmarked in both "Within the enterprise group" and "To other foreign enterprises" then IS_ENT_GRP=2, else IS_ENT_GRP=. (missing)

Numeric integer

1=international

sourcing within

enterprise group, 2=intern

ational sourcing

within and

outside enterpris

e group, .=

no internatio

nal sourcing

IS_CORE_INDIA IS


if tickmarked "Core business functions" in "India" then IS_CORE_INDIA=1, else IS_CORE_INDIA=0

Numeric integer

1=core function sourced to India 0=core

function not

sourced to India

IS_CORE_CHINA IS


if tickmarked "Core business functions" in "China" then IS_CORE_CHINA=1, else IS_CORE_CHINA=0

Numeric integer

1=core function sourced to China 0=core

function not

sourced to China

29

IS_CORE_=ASIA IS


if tickmarked "Core business functions" in "Other Asian countries" then IS_CORE_OASIA=1, else IS_CORE_OASIA=0

Numeric integer

1=core function sourced to other

Asian countries

0=core function

not sourced to other

Asian countries

IS_CORE_EU15 IS


if tickmarked "Core business functions" in "EU15 (old member states)" then IS_CORE_EU15=1, else IS_CORE_EU15=0

Numeric integer

1=core function sourced to EU15 0=core

function not

sourced to EU15

IS_CORE_EU12 IS


if tickmarked "Core business functions" in "EU12 (new member states)" then IS_CORE_EU12=1, else IS_CORE_EU12=0

Numeric integer

1=core function sourced to EU12 0=core

function not

sourced to EU12

IS_CORE_OEUROPE IS


if tickmarked "Core business functions" in "Other European countries" then IS_CORE_OEUROPE=1, else IS_CORE_OEUROPE=0

Numeric integer

1=core function sourced to other

European countries

0=core function


European countries

IS_CORE_USCAN IS


if tickmarked "Core business functions" in "Usa and Canada" then IS_CORE_USCAN=1, else IS_CORE_USCAN=0

Numeric integer

1=core function sourced to USA

and Canada 0=core

function not

sourced to USA

and Canada

30

IS_CORE_CSAM IS


if tickmarked "Core business functions" in "USA and Canada" then IS_CORE_CSAM=1, else IS_CORE_CSAM=0

Numeric integer

1=core function sourced to South

and Central

America 0=core

function not

sourced to South

and Central

America

IS_CORE_AFR ISQuestion 4 in questionnaire

if tickmarked "Core business functions" in "Africa" then IS_CORE_AFR=1, else IS_CORE_AFR=0

Numeric integer

1=core function sourced to Africa 0=core

function not

sourced to Africa

IS_SUP_INDIA ISQuestion 4 in questionnaire

if tickmarked once or more in "Support Business functions" in "India" then IS_SUP_INDIA=1, else IS_SUP_INDIA=0

Numeric integer

1=support

function/s sourced to India

0=support

function/s not

sourced to India

IS_SUP_CHINA IS


if tickmarked once or more in "Support Business functions" in "China" then IS_SUP_CHINA=1, else IS_SUP_CHINA=0

Numeric integer

1=support

function/s sourced to China

0=support

function/s not

sourced to China

IS_SUP_OASIA IS


if tickmarked once or more in "Support Business functions" in "Asia" then IS_SUP_OASIA=1, else IS_SUP_OASIA=0

Numeric integer

1=support

function/s sourced to other

Asian countries 0=suppor

t function/s


Asian countries

31

IS_SUP_EU15 ISQuestion 4 in questionnaire

if tickmarked once or more in "Support Business functions" in "EU15 (old member states" then IS_SUP_EU15=1, else IS_SUP_EU15=0

Numeric integer

1=support

function/s sourced

to EU15 , 0=suppor

t function/s

not sourced to EU15

IS_SUP_EU12 ISQuestion 4 in questionnaire

if tickmarked once or more in "Support Business functions" in "EU12 (new member states" then IS_SUP_EU12=1, else IS_SUP_EU12=0

Numeric integer

1=support

function/s sourced

to EU12 , 0=suppor

t function/s

not sourced to EU12

IS_SUP_OEUROPE IS


if tickmarked once or more in "Support Business functions" in "Other European countries" then IS_SUP_OEUROPE=1, else IS_SUP_OEUROPE=0

Numeric integer

1=support

function/s sourced to other

European countries 0=suppor

t function/s


European countries

IS_SUP_USCAN IS


if tickmarked once or more in "Support Business functions" in "USA and Canada" then IS_SUP_USCAN=1, else IS_SUP_USCAN=0

Numeric integer

1=support

function/s sourced to USA

and Canada,

0=support

function/s not

sourced to USA

and Canada

32

IS_SUP_CSAM ISQuestion 4 in questionnaire

if tickmarked once or more in "Support Business functions" in "South and Central America" then IS_SUP_CSAM=1, else IS_SUP_CSAM=0

Numeric integer

1=support

function/s sourced to South

and Central

America, 0=suppor

t function/s

not sourced to South

and Central

America

IS_SUP_AFR ISQuestion 4 in questionnaire

if tickmarked once or more in "Support Business functions" in "Africa" then IS_SUP_AFR=1, else IS_SUP_AFR=0

Numeric integer

1=support

function/s sourced

to Africa, 0=suppor

t function/s

not sourced to Africa

MO_LAB_CO ISQuestion 6 in questionnaire

if tickmarked "Very important" then MO_LAB_CO=2, if tickmarked "Some importance" in "Reduction of labour costs" then MO_LAB_CO=1 else MO_LAB_CO=0

Numeric integer

2=reduction of

labour costs very

important motivation factor,

1=reduction of

labour costs

motivation factor of some

importance,

0=reduction of

labour costs not

important motivatio

n factor/not applicabl

e

33

MO_ACC_KN ISQuestion 6 in questionnaire

if tickmarked "Very important" then MO_ACC_KN=2, if tickmarked "Some importance" in "Access to specialized knowledge/technologies" then MO_ACC_KN=1 else MO_ACC_KN=0

Numeric integer

2=access to

specialized

knowledge/technol

ogies very

important motivation factor,

1=access to

specialized

knowledge/technol

ogies motivatio

n factor of some

importance,

0=access to

specialized

knowledge/technologies not

important motivatio

n factor/not applicabl

e

IS_INTENS ISQuestion 2 in questionnaire

if tickmarked "Internationally" only once, then IS_INTENS=1, if tickmarked "Internationally" twice, then IS_INTENS=2, if tickmarked "Internationally" three times or more, then IS_INTENS=3, else IS_INTENS=.

Numeric integer

1=one function sourced

internationally,

2=two functions sourced

internationally,

3=three or more

functions sourced

internationally, .=n

o functions sourced

internationally

TO_2000 SBS SBS variable 12 11 0

Turnover in 2000Numeric, maximum 1 decimal

amount (national

currency)

34



amount (national

currency)



amount (national

currency)



amount (national

currency)



amount (national

currency)



amount (national

currency)



amount (national

currency)



amount (national

currency)



amount (national

currency)

EMP_2000 SBS SBS variable 16 13 0

Number of employees in 2000

Numeric, maximum 1 decimal

amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)

PSCO_2000 SBS SBS variable 13 31 0

Personnel Costs in 2000Numeric, maximum 1 decimal

amount (national

currency)



amount (national

currency)



amount (national

currency)

35



amount (national

currency)



amount (national

currency)



amount (national

currency)



amount (national

currency)



amount (national

currency)



amount (national

currency)

VAL_2000 SBS SBS variable 12 15 0

Value Added at Factor Cost in 2000


amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)

GOS_2000 SBS SBS variable 12 17 0

Gross Operating Surplus in 2000


amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)

36




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)

PUR_2000 SBS SBS variable 13 11 0

Total Purchases of Goods and Services in 2000


amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)




amount (national

currency)

SH_TO_EMP_2000 SBS

SBS variable 13 31 0 and 16 13 9

Share of turnover per employee. Derived from SBS (year 2000), variables 12 11 0 and 16 13 0; SH_TO_EMP_2000=(12 11 0/16 13 0)


amount (national

currency)

SH_TO_EMP_2001 SBS




amount (national

currency)

SH_TO_EMP_2002 SBS




amount (national

currency)

37

SH_TO_EMP_2003 SBS




amount (national

currency)

SH_TO_EMP_2004 SBS




amount (national

currency)

SH_TO_EMP_2005 SBS




amount (national

currency)

SH_TO_EMP_2006 SBS




amount (national

currency)

SH_TO_EMP_2007 SBS




amount (national

currency)

SH_TO_EMP_2008 SBS




amount (national

currency)

SH_VAL_EMP_2000 SBS


Share of value added per employee. Derived from SBS (year 2000), variables 12 15 0 and 16 13 0; SH_VAL_EMP_2000=(12 15 0/16 13 0)


amount (national

currency)

SH_VAL_EMP_2001 SBS




amount (national

currency)

SH_VAL_EMP_2002 SBS




amount (national

currency)

SH_VAL_EMP_2003 SBS




amount (national

currency)

38

SH_VAL_EMP_2004 SBS




amount (national

currency)

SH_VAL_EMP_2005 SBS




amount (national

currency)

SH_VAL_EMP_2006 SBS




amount (national

currency)

SH_VAL_EMP_2007 SBS




amount (national

currency)

SH_VAL_EMP_2008 SBS




amount (national

currency)

SH_PSCO_EMP_2000 SBS


Share of personnel costs per employee. Derived from SBS (year 2000), variables 13 31 0 and 16 13 0; SH_PSCO_EMP_2000=(13 31 0/16 13 0)


amount (national

currency)





amount (national

currency)





amount (national

currency)





amount (national

currency)

39





amount (national

currency)





amount (national

currency)





amount (national

currency)





amount (national

currency)





amount (national

currency)

SH_PUR_EMP_2000 SBS


Share of total purchases of goods and services per employee. Derived from SBS (year 2000), variables 12 17 0 and 16 13 0; SH_PUR_EMP_2000=(13 11 0/16 13 0)


amount (national

currency)

SH_PUR_EMP_2001 SBS




amount (national

currency)

SH_PUR_EMP_2002 SBS




amount (national

currency)

40

SH_PUR_EMP_2003 SBS




amount (national

currency)

SH_PUR_EMP_2004 SBS




amount (national

currency)

SH_PUR_EMP_2005 SBS




amount (national

currency)

SH_PUR_EMP_2006 SBS




amount (national

currency)

SH_PUR_EMP_2007 SBS




amount (national

currency)

SH_PUR_EMP_2008 SBS




amount (national

currency)

SH_GOS_EMP_2000 SBS

SBS variables 12 17 0 and 16 13 0

Share of total gross operating surplus of goods and services per employee. Derived from SBS (year 2000), variables 12 17 0 and 16 13 0; SH_GOS_EMP_2000=(12 17 0/16 13 0)


amount (national

currency)

SH_GOS_EMP_2001 SBS




amount (national

currency)

41

SH_GOS_EMP_2002 SBS




amount (national

currency)

SH_GOS_EMP_2003 SBS




amount (national

currency)

SH_GOS_EMP_2004 SBS




amount (national

currency)

SH_GOS_EMP_2005 SBS




amount (national

currency)

SH_GOS_EMP_2006 SBS




amount (national

currency)

SH_GOS_EMP_2007 SBS




amount (national

currency)

SH_GOS_EMP_2008 SBS




amount (national

currency)

TOT_IMP_2000 ITGS

FT variable STAT_VALUE for 2000, flow=1 (imports)

Total imports from all countries of origin in 2000


amount (national

currency)

42

TOT_IMP_2006 ITGS




amount (national

currency)

TOT_IMP_2008 ITGS




amount (national

currency)

TOT_EXP_2000 ITGS

FT variable STAT_VALUE for 2000, flow=2 (exports)

Total exports to all countries of destination in 2000


amount (national

currency)

TOT_EXP_2006 ITGS




amount (national

currency)

TOT_EXP_2008 ITGS




amount (national

currency)

IMP_EU15_2000 ITGS

FT variable STAT_VALUE for 2000, flow=1 (imports) from EU15

Total imports from countries in EU15 in 2000


amount (national

currency)

IMP_EU15_2006 ITGS




amount (national

currency)

IMP_EU15_2008 ITGS




amount (national

currency)

IMP_EU12_2000 ITGS




amount (national

currency)

43

IMP_EU12_2006 ITGS




amount (national

currency)

IMP_EU12_2008 ITGS




amount (national

currency)

IMP_OEUROPE_2000 ITGS

FT variable STAT_VALUE for 2000, flow=1 (imports) from Other European countries

Total imports from countries in other european countries (see country aggregations in Annex X) in 2000


amount (national

currency)





amount (national

currency)





amount (national

currency)

IMP_CHINA_2000 ITGS

FT variable STAT_VALUE for 2000, flow=1 (imports) from China

Total imports from China in 2000


amount (national

currency)

IMP_CHINA_2006 ITGS




amount (national

currency)

IMP_CHINA_2008 ITGS




amount (national

currency)

44

IMP_INDIA_2000 ITGS

FT variable STAT_VALUE for 2000, flow=1 (imports) from India

Total imports from India in 2000


amount (national

currency)

IMP_INDIA_2006 ITGS




amount (national

currency)

IMP_INDIA_2008 ITGS




amount (national

currency)

IMP_OASIA_2000 ITGS

FT variable STAT_VALUE for 2000, flow=1 (imports) from Other Asian countries

Total imports from other asian countries (see country aggregations in Annex X) in 2000


amount (national

currency)

IMP_OASIA_2006 ITGS




amount (national

currency)

IMP_OASIA_2008 ITGS




amount (national

currency)

IMP_USCAN_2000 ITGS

FT variable STAT_VALUE for 2000, flow=1 (imports) from USA and Canada

Total imports from USA and Canada (see country aggregations in Annex X) in 2000


amount (national

currency)

45

IMP_USCAN_2006 ITGS




amount (national

currency)

IMP_USCAN_2008 ITGS




amount (national

currency)

IMP_SCAM_2000 ITGS

FT variable STAT_VALUE for 2000, flow=1 (imports) from South and Central America

Total imports from South and Central America (see country aggregations in Annex X) in 2000


amount (national

currency)

IMP_SCAM_2006 ITGS




amount (national

currency)

IMP_SCAM_2006 ITGS




amount (national

currency)

IMP_AFR_2000 ITGS

FT variable STAT_VALUE for 2008, flow=1 (imports) from Africa

Total imports from Africa a (see country aggregations in Annex X) in 2000


amount (national

currency)

IMP_AFR_2006 ITGS




amount (national

currency)

46

IMP_AFR_2008 ITGS




amount (national

currency)

EXP_EU15_2000 ITGS

FT variable STAT_VALUE for 2000, flow=2 (export) to EU15

Total exports to countries in EU15 in 2000


amount (national

currency)

EXP_EU15_2006 ITGS




amount (national

currency)

EXP_EU15_2008 ITGS




amount (national

currency)

EXP_EU12_2000 ITGS




amount (national

currency)

EXP_EU12_2006 ITGS




amount (national

currency)

EXP_EU12_2008 ITGS




amount (national

currency)

EXP_OEUROPE_2000 ITGS

FT variable STAT_VALUE for 2000, flow=2 (export) to Other European countries

Total exports to countries in other european countries (see country aggregations in Annex X) in 2000


amount (national

currency)

47





amount (national

currency)





amount (national

currency)

EXP_CHINA_2000 ITGS

FT variable STAT_VALUE for 2000, flow=2 (export) to China

Total exports to China in 2000


amount (national

currency)

EXP_CHINA_2006 ITGS




amount (national

currency)

EXP_CHINA_2008 ITGS




amount (national

currency)

EXP_INDIA_2000 ITGS

FT variable STAT_VALUE for 2000, flow=2 (export) to India

Total exports to India in 2000


amount (national

currency)

EXP_INDIA_2006 ITGS




amount (national

currency)

EXP_INDIA_2008 ITGS




amount (national

currency)

48

EXP_OASIA_2000 ITGS

FT variable STAT_VALUE for 2000, flow=2 (export) to other Asian countries

Total exports to other asian countries (see country aggregations in Annex X) in 2000


amount (national

currency)

EXP_OASIA_2006 ITGS




amount (national

currency)

EXP_OASIA_2008 ITGS




amount (national

currency)

EXP_USCAN_2000 ITGS

FT variable STAT_VALUE for 2000, flow=2 (export) to USA and Canada

Total exports to USA and Canada (see country aggregations in Annex X) in 2000


amount (national

currency)

EXP_USCAN_2006 ITGS




amount (national

currency)

EXP_USCAN_2008 ITGS




amount (national

currency)

EXP_SCAM_2000 ITGS

FT variable STAT_VALUE for 2000, flow=2 (export) to South and Central America

Total exports to South and Central America (see country aggregations in Annex X) in 2000


amount (national

currency)

EXP_SCAM_2006 ITGS FT variable

STAT_VALTotal exports to South and Central America (see

Numeric, maximum 1

amount (national

49

UE for 2006, flow=2 (export) to South and Central America

country aggregations in Annex X) in 2006 decimal currency)

EXP_SCAM_2008 ITGS

FT variable STAT_VALUE for 2008, flow=2 (export) to South and Central America

Total exports to South and Central America (see country aggregations in Annex X) in 2008


amount (national

currency)

EXP_AFR_2000 ITGS

FT variable STAT_VALUE for 2000, flow=2 (export) to Africa

Total exports to Africa a (see country aggregations in Annex X) in 2000


amount (national

currency)

EXP_AFR_2006 ITGS




amount (national

currency)

EXP_AFR_2008 ITGS




amount (national

currency)

50

guidelines for phase 1 of the project “micro data linking...

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