IDEAS home Printed from https://ideas.repec.org/a/wly/japmet/v30y2015i2p350-352.html
   My bibliography  Save this article

R&D, Innovation and Knowledge Spillovers: A Reappraisal of Bottazzi and Peri (2007) in the Presence of Cross‐Sectional Dependence*

* This paper is a replication of an original study

Author

Listed:
  • Anna Bottasso
  • Carolina Castagnetti
  • Maurizio Conti

Abstract

No abstract is available for this item.

Suggested Citation

  • Anna Bottasso & Carolina Castagnetti & Maurizio Conti, 2015. "R&D, Innovation and Knowledge Spillovers: A Reappraisal of Bottazzi and Peri (2007) in the Presence of Cross‐Sectional Dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(2), pages 350-352, March.
    • Handle: RePEc:wly:japmet:v:30:y:2015:i:2:p:350-352
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Roberta Piermartini & Stela Rubínová, 2021. "How much do global value chains boost innovation?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(2), pages 892-922, May.
    2. Bucci, Alberto & Carbonari, Lorenzo & Trovato, Giovanni, 2021. "Variety, Competition, And Population In Economic Growth: Theory And Empirics," Macroeconomic Dynamics, Cambridge University Press, vol. 25(5), pages 1303-1330, July.
    3. Marc Cowling, 2016. "You can lead a firm to R&D but can you make it innovate? UK evidence from SMEs," Small Business Economics, Springer, vol. 46(4), pages 565-577, April.
    4. Zhu, Hui & Zhu, Steven X., 2017. "Corporate innovation and economic freedom: Cross-country comparisons," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 50-65.
    5. E. Volkova S. & V. Gisin B. & Е. Волкова С. & В. Гисин Б., 2015. "Нечеткая Линейная Регрессия В Модели Роста Технологических Знаний // The Use Of Fuzzy Linear Regression In The Model Of Technological Knowledge Growth," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, issue 5, pages 97-104.

    Replication

    This item is a replication of:
  • Laura Bottazzi & Giovanni Peri, 2007. "The International Dynamics of R&D and Innovation in the Long Run and in The Short Run," Economic Journal, Royal Economic Society, vol. 117(518), pages 486-511, March.

    • 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:wly:japmet:v:30:y:2015:i:2:p:350-352. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .

    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.