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CompNet and its value added
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CompNet goals The EU system of Central Banks set up the Competitiveness Research Network (CompNet) in March 2012 Now it has expanded to become a network of academics and policy practitioners collaborating to: Provide a robust theoretical and empirical link between the drivers of competitiveness and macroeconomic performance for research, policy analysis and country surveillance Use cross-country benchmarking and adopting a multi-dimensional approach (i.e. a set of complementary macro, firm-level and cross-border indicators)
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Our value added Macro and firm level
ULC mean in Eurostat ULC mean in CompNet ULC for least productive firms in CompNet ULC for most productive firms in CompNet We have the same information available in Eurostat We add granularity we have information on firms across several dimensions We look at firms’ heterogeneity within and across sectors/countries and show why it is important to consider for policy analysis and research Approach is becoming more and more relevant for high level policy making: see for example, based on CompNet data, the last issue of ECB economic bulletin [link embedded]
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Data and Coverage
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Our Data We use firm-level data from business registers
Country teams, from National Central Banks and National Statistical Institutes, run common codes to create indicators at industry, macro-sector and country level Confidentiality is preserved Data comparability is ensured In addition to sector averages, we collect the full distribution for more than 70 critical business related variables information is much richer in comparison to the usual available sector aggregation (e.g. Eurostat) Most notably, the database includes more than 300 joint distributions linking different firms’ characteristics
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Five broad categories of variables are available…
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Example of joint distributions
Example type of question: Are low productive firms in a country-sector characterized by higher credit constraints?
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20 EU countries 1995-2013 1995-2013 9 macro-sectors ≈ 60 sectors
CompNet framework Participants to the micro database: 20 EU countries 13 in the 5th vintage + 7 considering the 4th vintage Period: with delayed entrance of some countries Period: with delayed entrance of some countries Sectors: 9 macro-sectors 1-digit industry ≈ 60 sectors 2-digit industry (NACE Rev.2)
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The CompNet database includes two different samples
CompNet coverage The CompNet database includes two different samples Full sample: all non-financial firms with at least 1 employee (excluding self-employed) aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa uneven coverage due to country specific reporting thresholds 20E sample: all non-financial firms with at least 20 employees. Highly representative sample, particularly suitable for cross country comparison homogeneous samples and even coverage further improved by population weights CompNet’s 20E sample and Eurostat coverage Country Number of firms Number of employees Real Value Added Belgium 81.5% 84.0% 83.9% Croatia 91.7% 90.9% 77.8% Czech Republic 95.0% 94.0% 48.9% Denmark 69.4% 63.5% 96.6% Estonia 90.2% 81.8% 43.5% Finland 86.1% 85.5% 81.1% France 86.2% 89.0% 84.2% Italy 78.9% 85.1% 56.6% Latvia 83.3% 93.2% 53.8% Poland 75.9% 40.4%
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Examples and applications
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Labour productivity distribution in 2004 and 2013
2009 2009 2013 2013 In 2013, the labour productivity distribution was more skewed to the right relatively to the pre crisis period Increase in the share of the most productive firms Generally, the productivity distribution is asymmetric and skewed Typical example of the possibilities given by granular data Targeted analysis on tails and extreme observations Full density distribution estimation Better representation of reality Broader research questions More precise answers In 2009, countries reported different reactions Policies should continue making the “right-tail” even thicker
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How productivity level is related to credit constraints (CC)?
CompNet has computed Credit Constraints indicators based on firms’ financial characteristics and information available in the SAFE survey Least productive Least productive Median productive Median productive Most productive Most productive More productive firms seem to be on average less credit constrained The credit crunch hit mostly the least productive firms In all countries access to credit improved in the recovery period With the exception of Denmark and Finland Reference: CompNet Financial module, Ferrando et al. (2015)
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Profitability (ROA) and productivity distributions
Most productive Most productive Median Median Least productive Least productive In 2009, there has been a sharp decline in ROA Most productive Low productive firms were the most affected by the crisis Median In 2013, all firms recovery in their profitability Least productive
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More about the network
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Our partner institutions
CompNet is an independent Network of researchers and policy makers Its member Institutions are: European Central Bank (ECB) European Commission (EC) Halle Institute of Economic Research (IWH) European Bank of Reconstruction and Development (EBRD) European Investment Bank (EIB) Tinbergen Institute And a number of National Central Banks and National Statistical Institutes
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CompNet Governance is composed by three main bodies
Governance Structure CompNet Governance is composed by three main bodies Steering Committee - sets the overall strategy of the network - composed of representatives of the partner institutions Advisory Board - provides guidance on the long term research objectives - lead by Mr. Vitor Constâncio (Vice President of the ECB) Executive Committee - responsible for day-to-day management of the network For a more detailed overview visit our website at
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Research output CompNet features a dedicated working paper series within the ECB and the Halle Institute Since its establishment, CompNet produced more than 50 working papers. More than 20 of them appeared on peer reviewed journals like: Journal of International Economics Journal of International Money and Finance The World Economy For a detailed overview of our publications please visit:
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