IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v47y2014i2p717-731.html
   My bibliography  Save this article

Estimating the effect of technological factors from samples affected by collinearity: a data-weighted entropy approach

Author

Listed:
  • Esteban Fernández-Vázquez

Abstract

Measuring the effect of technological activities on productivity growth is an issue that attracted much attention in recent works on empirical econometric studies. Specifically, in the field of regional economics, several attempts have been made in order to quantify the contribution of R&D to labor productivity growth at a regional scale, considering both the internal R&D and the effects obtained by geographical spillovers. The results obtained, however, are characterized by a huge variability and in many cases there is no empirical evidence of positive contributions of R&D activities to productivity growth. Our argument is that this can be a consequence of dealing with samples’ affect by a high level of collinearity. This paper proposes the use of the data-weighted prior (DWP) estimator suggested by Golan (J Econom 101:165–193, 2001 ). The main advantage of this estimator is that it discriminates between relevant and irrelevant regressors better than other estimators when dealing with highly collinear samples. We evaluate the performance of the DWP estimator by Monte Carlo simulations and illustrate how it works by means of a real-world example. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Esteban Fernández-Vázquez, 2014. "Estimating the effect of technological factors from samples affected by collinearity: a data-weighted entropy approach," Empirical Economics, Springer, vol. 47(2), pages 717-731, September.
    • Handle: RePEc:spr:empeco:v:47:y:2014:i:2:p:717-731
    DOI: 10.1007/s00181-013-0759-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00181-013-0759-5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00181-013-0759-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    2. Miguel Gómez-Antonio & Bernard Fingleton, 2012. "Regional productivity variation and the impact of public capital stock: an analysis with spatial interaction, with reference to Spain," Applied Economics, Taylor & Francis Journals, vol. 44(28), pages 3665-3677, October.
    3. Enrique López‐Bazo & Francisco Requena & Guadalupe Serrano, 2006. "Complementarity Between Local Knowledge And Internationalization In Regional Technological Progress," Journal of Regional Science, Wiley Blackwell, vol. 46(5), pages 901-929, December.
    4. Breschi, Stefano & Lissoni, Francesco, 2001. "Knowledge Spillovers and Local Innovation Systems: A Critical Survey," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 10(4), pages 975-1005, December.
    5. R. Bernardini Papalia, 2008. "A Composite Generalized Cross-Entropy Formulation in Small Samples Estimation," Econometric Reviews, Taylor & Francis Journals, vol. 27(4-6), pages 596-609.
    6. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    7. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    8. Arndt, Channing & Robinson, Sherman & Tarp, Finn, 2002. "Parameter estimation for a computable general equilibrium model: a maximum entropy approach," Economic Modelling, Elsevier, vol. 19(3), pages 375-398, May.
    9. Bart Los & Bart Verspagen, 2000. "R&D spillovers and productivity: Evidence from U.S. manufacturing microdata," Empirical Economics, Springer, vol. 25(1), pages 127-148.
    10. Mercedes Gumbau-Albert & Joaquín Maudos, 2006. "Technological activity and productivity in the Spanish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 40(1), pages 55-80, March.
    11. Thomas Doring & Jan Schnellenbach, 2006. "What do we know about geographical knowledge spillovers and regional growth?: A survey of the literature," Regional Studies, Taylor & Francis Journals, vol. 40(3), pages 375-395.
    12. Pilar Beneito, 2001. "R&D productivity and spillovers at the firms level: evidence from Spanish panel data," Investigaciones Economicas, Fundación SEPI, vol. 25(2), pages 289-313, May.
    13. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    14. Golan, Amos, 2001. "A simultaneous estimation and variable selection rule," Journal of Econometrics, Elsevier, vol. 101(1), pages 165-193, March.
    15. Zellner, Arnold, 1996. "Models, prior information, and Bayesian analysis," Journal of Econometrics, Elsevier, vol. 75(1), pages 51-68, November.
    16. Bernstein, Jeffrey I, 1989. "The Structure of Canadian Inter-industry R&D Spillovers, and the Rates of Return to R&D," Journal of Industrial Economics, Wiley Blackwell, vol. 37(3), pages 315-328, March.
    17. Attila Varga & Hans Schalk, 2004. "Knowledge Spillovers, Agglomeration and Macroeconomic Growth: An Empirical Approach," Regional Studies, Taylor & Francis Journals, vol. 38(8), pages 977-989.
    18. Paul V. Preckel, 2001. "Least Squares and Entropy: A Penalty Function Perspective," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 366-377.
    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. Luca Zanin, 2021. "On the estimation of Okun’s coefficient in some countries in Latin America: a comparison between OLS and GME estimators," Empirical Economics, Springer, vol. 60(3), pages 1575-1592, March.

    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. Andrea Bonaccorsi & Cinzia Daraio, 2013. "Knowledge spillover effects at the sub-regional level. Theory and estimation," DIAG Technical Reports 2013-13, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    2. Matthias Firgo & Peter Mayerhofer, 2015. "Wissens-Spillovers und regionale Entwicklung - welche strukturpolitische Ausrichtung optimiert des Wachstum?," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 144, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    3. Michele Cincera, 2005. "Firms' productivity growth and R&D spillovers: An analysis of alternative technological proximity measures," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(8), pages 657-682.
    4. Rosa Bernardini Papalia & Silvia Bertarelli, 2013. "Nonlinearities in economic growth and club convergence," Empirical Economics, Springer, vol. 44(3), pages 1171-1202, June.
    5. Huanjia Ma & Raquel Ortega-Argiles & Matthew Lyons, 2024. "UK Levelling Up R&D mission effects: A multi-region input-output approach," MIOIR Working Paper Series 2024-03, The Manchester Institute of Innovation Research (MIoIR), The University of Manchester.
    6. Rafael Boix & José Luis Hervás-Oliver & Blanca De Miguel-Molina, 2013. "“I want creative neighbours”. Do creative service industries spillovers cross regional boundaries?," Working Papers 1315, Department of Applied Economics II, Universidad de Valencia.
    7. Michael A. Verba, 2022. "Growth and innovation in the presence of knowledge and R&D accumulation dynamics," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 31(6), pages 485-510, August.
    8. Schubert, Torben & Jäger, Angela & Türkeli, Serdar & Visentin, Fabiana, 2020. "Addressing the productivity paradox with big data: A literature review and adaptation of the CDM econometric model," MERIT Working Papers 2020-050, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    9. R. Basile & S. Usai, 2012. "Analysis of regional endogenous growth," Working Paper CRENoS 201211, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    10. Rosa Bernardini Papalia & Silvia Bertarelli, 2010. "Evaluating Total Factor Productivity Differences by a Mapping Structure in Growth Models," International Regional Science Review, , vol. 33(1), pages 31-59, January.
    11. Stefano Brusoni & Elena Cefis & Luigi Orsenigo, 2006. "Innovate or Die? A critical review of the literature on innovation and performance," KITeS Working Papers 179, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Sep 2006.
    12. Alberto Bucci, 2003. "R&D, Imperfect Competition and Growth with Human Capital Accumulation," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(4), pages 417-439, September.
    13. Raquel Ortega-Argilés, 2013. "R&D, knowledge, economic growth and the transatlantic productivity gap," Chapters, in: Frank Giarratani & Geoffrey J.D. Hewings & Philip McCann (ed.), Handbook of Industry Studies and Economic Geography, chapter 11, pages 271-302, Edward Elgar Publishing.
    14. repec:elg:eechap:14395_11 is not listed on IDEAS
    15. Benjamin Montmartin & Nadine Massard, 2015. "Is Financial Support For Private R&D Always Justified? A Discussion Based On The Literature On Growth," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 479-505, July.
    16. Steven Bond‐Smith, 2022. "Discretely innovating: The effect of limited market contestability on innovation and growth," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(3), pages 301-327, July.
    17. James B. Ang & Jakob B. Madsen, 2012. "Risk capital, private credit, and innovative production," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 45(4), pages 1608-1639, November.
    18. Pop Silaghi, Monica Ioana & Alexa, Diana & Jude, Cristina & Litan, Cristian, 2014. "Do business and public sector research and development expenditures contribute to economic growth in Central and Eastern European Countries? A dynamic panel estimation," Economic Modelling, Elsevier, vol. 36(C), pages 108-119.
    19. Maemir, H. & Ziesemer, T., 2014. "Multinational production and trade in an endogenous growth model with heterogeneous firms," MERIT Working Papers 2014-038, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    20. Esther Goya & Esther Vayá & Jordi Suriñach, 2011. "Productivity and innovation spillovers: Micro evidence from Spain," IREA Working Papers 201126, University of Barcelona, Research Institute of Applied Economics, revised Dec 2011.
    21. Tappeiner, Gottfried & Hauser, Christoph & Walde, Janette, 2008. "Regional knowledge spillovers: Fact or artifact?," Research Policy, Elsevier, vol. 37(5), pages 861-874, June.

    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:spr:empeco:v:47:y:2014:i:2:p:717-731. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.