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Private returns to R&D in the presence of spillovers, revisited

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  • Giovanni Millo

Abstract

This is both a replication of Eberhardt et al. (Review of Economics and Statistics, 2013, 95(2), 436–448) using different software, and a critical extension and diagnostic reassessment of the original results. The main findings of the paper are confirmed and sometimes reinforced. We point out some inconsistencies, in particular in the calculation of standard errors for the common correlated effects pooled model; we extend the diagnostic checks; lastly, in the spirit of the original contribution, we show how local cross‐sectional dependence diagnostics can be used to provide a first assessment of the direction of spillovers. We provide complete replication code in open source R.

Suggested Citation

  • Giovanni Millo, 2019. "Private returns to R&D in the presence of spillovers, revisited," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(1), pages 155-159, January.
    • Handle: RePEc:wly:japmet:v:34:y:2019:i:1:p:155-159
    DOI: 10.1002/jae.2662
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    Cited by:

    1. Musolesi, Antonio & Prete, Giada Andrea & Simioni, Michel, 2022. "Is infrastructure capital really productive? Non-parametric modeling and data-driven model selection in a cross-sectionally dependent panel framework," TSE Working Papers 22-1335, Toulouse School of Economics (TSE).
    2. De Vos, Ignace & Stauskas, Ovidijus, 2024. "Cross-section bootstrap for CCE regressions," Journal of Econometrics, Elsevier, vol. 240(1).
    3. Antonio Musolesi & Giada Andrea Prete & Michel Simioni, 2022. "Is infrastructure capital really productive? Non-parametric modeling and data-driven model selection in a cross-sectionally dependent panel framework," SEEDS Working Papers 0522, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Mar 2022.

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