9th vintage
Data
The 9th Vintage CompNet dataset is now available!
The CompNet dataset includes a set of micro-aggregated indicators to enhance policy and academic analysis on competitiveness and productivity. All the indicators are computed by National Data Provider using firm-level data.
How does the dataset look like?
The dataset includes indicators computed at firm-level data by national data providers. Those indicators are aggregated and harmonized to allow cross-country comparability.
For each indicator we provide the following moments: percentiles (1,10,25,50,75,90,95,99), mean, standard deviation, skewness, kurtosis, number of observation and sum of weights.
Which variables are included?
The dataset includes variables of the following modules: competitiveness, finance, labour, productivity and trade.
Besides descriptive statistics, we provide also joint distributions and transition matrices.
Different aggregations are available: country level, macro-sector, macro-sector and size class, 2-digits industries, NUTS2, firms' age and technological intensity.
A full overview of all the variables can be found here.
What are the novelties of the new 9th Vintage dataset?
The 9th Vintage of the CompNet Dataset has several innovations compared to the previous 8th Vintage, including three new countries (Latvia, Malta and United Kingdom), coverage up to 2021 (although mostly up to 2020), two new dimensions (firms' age and technological intensity), new variables (such as firms' market shares and energy expenditures), and new decompositions and joint distributions. Some variables from the previous edition were discontinued, such as marginal product of capital and labor, value-added elasticity, and several dummies. The 9th Vintage also removed the time-varying OLS estimation of CD production function specification and discontinued trade regressions and production function regression output.
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Which countries are included and for which time span?
The dataset is an unbalanced panel including 22 European countries, the time span differs among countries and it is between 1999 and 2021
Country | All firms | 20e | Time Span |
Belgium | X | X | 2000–2020 |
Croatia | X | X | 2002–2021 |
Czech Republic | X | X | 2005–2020 |
Denmark | X | X | 2001–2020 |
Finland | X | X | 1999–2020 |
France | X[i] | X | 2003–2020 |
Germany |
| X[ii] | 2001–2018[iii] |
Hungary | X | X | 2003–2020 |
Italy | X | X | 2006–2020 |
Latvia* | X | X | 2007-2019 |
Lithuania* | X | X | 2000–2020 |
Malta | X | X | 2010-2020[iv] |
Netherlands | X | X | 2007–2019 |
Poland |
| X | 2002–2020 |
Portugal | X | X | 2004–2020[v] |
Romania |
| X | 2005–2020 |
Slovakia |
| X | 2000–2020 |
Slovenia | X | X | 2002–2021 |
Spain | X | X | 2008–2020 |
Sweden | X | X | 2003–2020 |
Switzerland | X | X | 2009–2020 |
United Kingdom |
| X[vi] | 1997-2019 |
[ii] Germany: Only weighted version is available.
[iii] Germany: Macro-sector coverage: Manufacturing (2001-2018), Wholesale and Retail Trade and Accommodation and Food Service Activities (2005-2018), other macro-sectors (2003-2018).
[iv] Malta: The macro-sector: Real Estate Activities in the 20e sample covers the period 2017-2020.
[v] Portugal: A significant number of indicators could not be calculated for the period 2004-2009.
[vi] United Kingdom: Only weighted version is available.
* Lithuanian and Latvian data has been made available by the support from Iceland, Liechtenstein, and Norway through the EEA grants (Project No S-BMT-21-8 (LT08-2-LMT-K-01-073)) under a grant agreement with the Research Council of Lithuania
How CompNet can help my research?
CompNet dataset is unique in terms of data coverage and cross-country comparability. A constant dialogue with data providers (National statistical Institutes and Central Banks) allows to continuously improve the coverage of the firm-level data, ensure the quality and the reliability of the indicators.
An example of how CompNet can be used for policy analysis is the 2020 Firm Productivity Report. More academic papers using CompNet data can be found here.
Which document should I read before to start using Data?
The 9th Vintage User Guide provides a detailed overview of all the information needed. Click here to download the full guide.
The Cross-Country Comparability Report (Melitz et al. 2018) assess the the reliability of CompNet data for policy analysis and research in terms of coverage, representativeness and cross-country comparability.
Can I have more information or exchange opinion about my research using CompNet?
Data request
All researchers can apply to have access to the CompNet competitiveness data by submitting the data request form to the CompNet team via the IWH Research Data Centre.
Training
For our self-guided training please find more information here, which is currently based on the 8th vintage of the CompNet data base.
9th Vintage User Guide
The User Guide can be found here.
Related dataset: The ComProd Monitor
More information about the Monitor can be found here.