IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/30403.html
   My bibliography  Save this paper

The effect of microaggregation on regression results: an application to Spanish innovation data

Author

Listed:
  • López, Alberto

Abstract

Microaggregation is a technique for masking confidential data by aggregation. The aim of this paper is to analyze the extent to which microaggregated data can be used for rigorous empirical research. In doing this, I adopt an empirical perspective. I use data from the Technological Innovation Panel (PITEC) and compare regression results using both original and anonymized data. PITEC is a new firm-level panel data base for innovative activities of Spanish firms based on CIS data. I find that the microaggregation procedure used has a slight effect on the coefficient estimates and their estimated standard errors, especially when estimating linear models.

Suggested Citation

  • López, Alberto, 2011. "The effect of microaggregation on regression results: an application to Spanish innovation data," MPRA Paper 30403, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:30403
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/30403/1/MPRA_paper_30403.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    2. Schmid, Matthias & Schneeweiss, Hans, 2009. "The effect of microaggregation by individual ranking on the estimation of moments," Journal of Econometrics, Elsevier, vol. 153(2), pages 174-182, December.
    3. Hausman, J. A. & Abrevaya, Jason & Scott-Morton, F. M., 1998. "Misclassification of the dependent variable in a discrete-response setting," Journal of Econometrics, Elsevier, vol. 87(2), pages 239-269, September.
    4. Schmid Matthias & Schneeweiss Hans, 2005. "The Effect of Microaggregation Procedures on the Estimation of Linear Models: A Simulation Study," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(5), pages 529-543, October.
    5. Bernard, Andrew B. & Bradford Jensen, J., 1999. "Exceptional exporter performance: cause, effect, or both?," Journal of International Economics, Elsevier, vol. 47(1), pages 1-25, February.
    6. Jacques Mairesse & Pierre Mohnen, 2001. "To Be or Not To Be Innovative: An Exercise in Measurement," NBER Working Papers 8644, National Bureau of Economic Research, Inc.
    7. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
    8. Ronning, Gerd, 2005. "Randomized response and the binary probit model," Economics Letters, Elsevier, vol. 86(2), pages 221-228, February.
    9. Lopez, Alberto, 2008. "Determinants of R&D cooperation: Evidence from Spanish manufacturing firms," International Journal of Industrial Organization, Elsevier, vol. 26(1), pages 113-136, January.
    10. repec:crs:wpaper:9833 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Isabel Busom & Jorge-Andrés Vélez-Ospina, 2021. "Subsidising innovation over the business cycle," Industry and Innovation, Taylor & Francis Journals, vol. 28(6), pages 773-803, July.
    2. Pilar Bernal & Juan P. Maicas & Pilar Vargas, 2016. "Exploration, exploitation and innovation performance: Disentangling environmental dynamism," Documentos de Trabajo dt2016-03, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    3. Huergo, Elena & Trenado, Mayte & Ubierna, Andrés, 2016. "The impact of public support on firm propensity to engage in R&D: Spanish experience," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 206-219.
    4. Loles Añón Higón & Alfonso Díez-Minguela, 2021. "Location, Location, Location: Do Universities Matter for Foreign R&D?," Working Papers 2109, Department of Applied Economics II, Universidad de Valencia.
    5. Adelheid Holl & Ruth Rama, 2014. "Foreign Subsidiaries and Technology Sourcing in Spain," Industry and Innovation, Taylor & Francis Journals, vol. 21(1), pages 43-64, January.
    6. Fernández-Olmos, Marta & Ramírez-Alesón, Marisa, 2017. "How internal and external factors influence the dynamics of SME technology collaboration networks over time," Technovation, Elsevier, vol. 64, pages 16-27.
    7. Pilar Bernal & Idana Salazar & Pilar Vargas, 2019. "Understanding the Open Innovation Trends: An Exploratory Analysis of Breadth and Depth Decisions," Administrative Sciences, MDPI, vol. 9(4), pages 1-15, September.
    8. Marisa Ramírez-Alesón & Marta Fernández-Olmos, 2018. "Unravelling the effects of Science Parks on the innovation performance of NTBFs," The Journal of Technology Transfer, Springer, vol. 43(2), pages 482-505, April.
    9. Añón Higón, Dolores, 2016. "In-house versus external basic research and first-to-market innovations," Research Policy, Elsevier, vol. 45(4), pages 816-829.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mairesse, Jacques & Mohnen, Pierre, 2010. "Using Innovation Surveys for Econometric Analysis," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1129-1155, Elsevier.
    2. Bettina Peters & Rebecca Riley & Iulia Siedschlag & Priit Vahter & John McQuinn, 2014. "Innovation and Productivity in Services: Evidence from Germany, Ireland and the United Kingdom," JRC Working Papers on Corporate R&D and Innovation 2014-04, Joint Research Centre.
    3. Kiatipong Ariyapruchya & Cheerapan O-lanthanasate & Chatsurang Karnchanasai, 2006. "Strengthening the Competitiveness of Thai Firms: What Needs to be Done?," Working Papers 2006-03, Monetary Policy Group, Bank of Thailand.
    4. Seppä, Elina, 2007. "Innovation Performance of Firms in Manufacturing Industry: Evidence from Belgium, Finland and Germany in 1998-2000," Discussion Papers 414, VATT Institute for Economic Research.
    5. Ortega-Argilés, Raquel & Piva, Mariacristina & Vivarelli, Marco, 2011. "Productivity Gains from R&D Investment: Are High-Tech Sectors Still Ahead?," IZA Discussion Papers 5975, Institute of Labor Economics (IZA).
    6. Roberto Antonietti & Alberto Marzucchi, 2013. "Green Investment Strategies and Export Performance: A Firm-level Investigation," Working Papers 2013.76, Fondazione Eni Enrico Mattei.
    7. Frenz, Marion & Ietto-Gillies, Grazia, 2009. "The impact on innovation performance of different sources of knowledge: Evidence from the UK Community Innovation Survey," Research Policy, Elsevier, vol. 38(7), pages 1125-1135, September.
    8. Martin Woerter, 2009. "Industry diversity and its impact on the innovation performance of firms," Journal of Evolutionary Economics, Springer, vol. 19(5), pages 675-700, October.
    9. Amoroso, S., 2013. "Heterogeneity of innovative, collaborative, and productive firm-level processes," Other publications TiSEM f5784a49-7053-401d-855d-1, Tilburg University, School of Economics and Management.
    10. Jacques Mairesse & Pierre Mohnen, 2005. "The Importance of R&D for Innovation: A Reassessment Using French Survey Data," Springer Books, in: Albert N. Link & F. M. Scherer (ed.), Essays in Honor of Edwin Mansfield, pages 129-143, Springer.
    11. Roberto Antonietti, 2011. "From creativity to innovativeness: micro evidence from Italy," Openloc Working Papers 1117, Public policies and local development.
    12. Raquel Ortega‐Argilés & Mariacristina Piva & Marco Vivarelli, 2014. "The transatlantic productivity gap: Is R&D the main culprit?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(4), pages 1342-1371, November.
    13. Amin,Mohammad, 2021. "Does Competition from Informal Firms Impact R&D by Formal SMEs ? Evidence Using Firm-Level Survey Data," Policy Research Working Paper Series 9868, The World Bank.
    14. Eric J. Bartelsman & Martin Falk & Eva Hagsten & Michael Polder, 2019. "Productivity, technological innovations and broadband connectivity: firm-level evidence for ten European countries," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 25-48, March.
    15. Fassio Claudio, 2011. "Sectoral invariances or distance-from-the-frontier effect among European mid-low tech sectors," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201115, University of Turin.
    16. Paola Cardamone, 2018. "Firm innovation and spillovers in Italy: Does geographical proximity matter?," Letters in Spatial and Resource Sciences, Springer, vol. 11(1), pages 1-16, March.
    17. Woerter, Martin & Roper, Stephen, 2010. "Openness and innovation--Home and export demand effects on manufacturing innovation: Panel data evidence for Ireland and Switzerland," Research Policy, Elsevier, vol. 39(1), pages 155-164, February.
    18. Cassiman, Bruno & Golovko, Elena, 2009. "Productivity of Catalan firms. International exposure and (product) innovation," IESE Research Papers D/808, IESE Business School.
    19. Peters, Bettina & Lööf, Hans & Janz, Norbert, 2003. "Firm Level Innovation and Productivity: Is there a Common Story Across Countries?," ZEW Discussion Papers 03-26, ZEW - Leibniz Centre for European Economic Research.
    20. Sandra M. Leitner & Robert Stehrer, 2013. "Access to finance and funding composition during the crisis: A firm-level analysis of Latin American countries," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 50(1), pages 1-47, May.

    More about this item

    Keywords

    Microaggregation; Individual ranking; Bias; Innovation data;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:30403. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.