1. ESSnet on Linking of Microdata on ICT Usage Project (ESSLimit) Patricia Kotnik University of Ljubljana

2. 1 Distributed Microdata Research (DMD) CIS Source: Eurostat ICT Impacts Project * Voluntary. * DMD Method used for retrieval of data and analyses when microdata cannot be accessed or stacked across countries, Bartelsman et al (2004), Eurostat (2008)

3. Policy ThemeResearch Method Workstream d DMDMicroMicro+Exploratory Measuring Impact EmploymentX ProductivityXX Aggregate ICT intensive firmsX Adoption/innovation/productivityXXX ICT and competitionXXX ICT and human capitalXX ICT support and ICT educationXXX Macro Resilience ICT and churnX ICT and productivity varianceX Factor Adjustment costs and ICTXX Firm dynamics model calibrationX EU Digital Agenda Fast InternetXX Digital Single MarketXXX Encouraging R&DXX Policy Themes and Research Methods X illustrates possible approaches to different themes. Red shade indicates ongoing or finalised analysis in this or earlier phase of project. X illustrates possible approaches to different themes. Red shade indicates ongoing or finalised analysis in this or earlier phase of project.

4. Available output datasets (1) Coverage Firm demographics Industry dynamics Summary statistics for production survey (PS) variables Summary statistics for E-commerce (EC) variables Summary statistics for innovation (IS) variables 3

5. Available output datasets (2) Summary statistics for combined EC booleans Summary statistics for combined IS booleans Summary statistics for combined EC-IS booleans Files with moments of distribution of variables – in PS or merged: PS-EC, PS-IS, PS-EC-IS Files with moments of joint distribution of two variables – in PS or merged: PS-EC, PS-IS, PS-EC-IS 4

6. Available output datasets (3) Regression results: Productivity regressions, with human capital Productivity regressions, with wage as a proxy Productivity regressions, with innovation variables Regressions – export equations 5

7. Representativeness of joint firm samples 6 Average ICT use, different samples (EC=100); for Slovenia, industry=MexElec, 2008 Average ICT use, different samples (EC=100); for Slovenia, industry=MServ, 2008

8. ICT indicators: which are relevant? (1) 7 Ranking of Internet-enabled employees (BROADpct), manufacturing and services

9. ICT indicators: which are relevant? (2) 8 Evolution of ICT usage variables (total economy, averages across countries)

10. BROADpctICTiIntensIndex FI132 SE221 DK375 NO497 NL558 UK669 DE713 SI8411 AT984 FR10 6 PL11 10 IT121312 IE131213 Source: ESSLimit dataset Intens = intensity dummy 1 if ICTi > 0.5. Table shows proportion of firms intensive in ICT. Slightly different pattern with ICTi and Intens than with BROADpct, DE, AT, FR and SI doing far better and NO worse. Ranking of ICT Intensity Variables 9

11. Other descriptives - example 10 Sum of e-sales and e-purchases over years by country (medium-sized firms, industry = Distribution)

12. Other descriptives - example 11 % CRM (ORGIN = 0)% CRM (ORGIN = 1) Manuf. (excl Electr)0.470.76 Consumer manuf.0.230.72 Intermediate manuf.0.500.79 Investment goods0.570.72 Other production0.510.74 Electrical machinery, post and comm. services 0.470.80 Market services0.630.81 Distribution0.620.82 Finance and Business0.690.78 Percentage of firms with CRM by innovative business practices (yes/no), in Finland (2008)

13. ICT by innovation: example 12 Broadband use by process innovation (2008, sample = ECIS, industry = Mserv, weight = rwt)

14. ICT as Export Enabler Proportion of Manufacturers with E-sales Source: ESSLimit Dataset. Fair colours means exports of goods only. Results indicate that ICT opens up international markets, but might not be equally important for the size of sales abroad. Exporting firms more often high in ICT usage, labour productivity, innovativeness and skills. Per cent 13