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ESSnet on Linking of Microdata on ICT Usage Project (ESSLimit)

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

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ESSnet on Linking of Microdata on ICT Usage Project (ESSLimit)

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

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

  3. 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

  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

  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

  7. Representativeness of joint firm samples 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) Ranking of Internet-enabled employees (BROADpct), manufacturing and services

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

  10. Ranking of ICT Intensity Variables 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.

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

  12. Other descriptives - example Percentage of firms with CRM by innovative business practices (yes/no), in Finland (2008)

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

  14. ICT as Export Enabler Proportion of Manufacturers with E-sales Per cent 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.

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