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Linking ICT related Innovation Adoption and Productivity: results from micro-aggregated data versus firm-level data

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  • Van Leeuwen, George
  • Polder, Michael

Abstract

E-business systems are increasingly considered as important examples of ICT related innovations embodied in software applications, the adoption of which is essential for capturing the potential fruits of several ICT externalities. For analysing the importance of this type of embodied technological progress several routes are open. One route is to look at the data that can be used. In this paper we apply the same modelling strategy to two different types of data: 1) cross-country-industry micro-aggregated data obtained after applying Distributed Micro data Analysis (DMD) and 2) firm-level data, in this case for the Netherlands. Today, the econometric analysis based on firm-level data is often more advanced and more complicated from an econometric point of view than the analysis on aggregated data. We show that DMD can be extended to enable the estimation of more complicated models that feature recent directions in micro-econometric analysis on firm-level data. Our application concerns the innovative use of E-business systems by firms. Using a rich set of cross-country-industry data constructed and tailored by DMD for this purpose, we analyse the adoption of three E-business systems (Eterprise Resourc Planning, Customer Relationship Management, Supply Chain Management). We investigate the complementarities in joint adoption and the productivity effects of adopting systems simultaneously or in isolation. The same exercise is repeated on firm-level data for the Netherlands. Our example illustrates that international benchmarking with more elaborate models on cross-country-industry panel data is feasible after using DMD to tailor the underlying firm-level data for specific research questions. This is an important result in the light of the restrictions on pooling cross-country micro data due to confidentiality rules. We find that the results are more diverging for the estimation of complementarities at the adoption stage than for the productivity effects of (joint) adoption. This result implies that measurement error and unobservable heterogeneity plays a greater role when explaining adoption pattern at the firm-level than at the aggregate level.

Suggested Citation

  • Van Leeuwen, George & Polder, Michael, 2013. "Linking ICT related Innovation Adoption and Productivity: results from micro-aggregated data versus firm-level data," MPRA Paper 46479, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:46479
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    References listed on IDEAS

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    1. Lorenzo Cappellari & Stephen P. Jenkins, 2006. "Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation," Stata Journal, StataCorp LP, vol. 6(2), pages 156-189, June.
    2. Arthur Lewbel, 2007. "Coherency And Completeness Of Structural Models Containing A Dummy Endogenous Variable," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1379-1392, November.
    3. Tobias Kretschmer & Eugenio J. Miravete & Jose C. Pernias, 2012. "Competitive Pressure and the Adoption of Complementary Innovations," American Economic Review, American Economic Association, vol. 102(4), pages 1540-1570, June.
    4. Michael Polder & George van Leeuwen & Pierre Mohnen & Wladimir Raymond, 2010. "Product, Process and Organizational Innovation: Drivers, Complementarity and Productivity Effects," DRUID Working Papers 10-24, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    5. Elie Tamer, 2003. "Incomplete Simultaneous Discrete Response Model with Multiple Equilibria," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(1), pages 147-165.
    6. Mohnen, Pierre & Roller, Lars-Hendrik, 2005. "Complementarities in innovation policy," European Economic Review, Elsevier, vol. 49(6), pages 1431-1450, August.
    7. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    8. Ilsoon Shin, 2006. "Adoption of Enterprise Application Software and Firm Performance," Small Business Economics, Springer, vol. 26(3), pages 241-256, April.
    9. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," Stata Journal, StataCorp LP, vol. 3(3), pages 278-294, September.
    10. Eugenio J. Miravete & José C. Pernías, 2006. "Innovation Complementarity And Scale Of Production," Journal of Industrial Economics, Wiley Blackwell, vol. 54(1), pages 1-29, March.
    11. Milgrom, Paul & Roberts, John, 1995. "Complementarities and fit strategy, structure, and organizational change in manufacturing," Journal of Accounting and Economics, Elsevier, vol. 19(2-3), pages 179-208, April.
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    Cited by:

    1. Eric Bartelsman & George van Leeuwen & Michael Polder, 2017. "CDM using a cross-country micro moments database," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 26(1-2), pages 168-182, February.

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    More about this item

    Keywords

    DMD; ICT; innovation; innovation complementarities; productivity;
    All these keywords.

    JEL classification:

    • D2 - Microeconomics - - Production and Organizations
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm

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