English, Article edition: Further results on bias in dynamic unbalanced panel data models with an application to firm R&D investment Boris Lokshin

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Bookmark: http://trove.nla.gov.au/version/49417
Physical Description
  • article
Language
  • English

Edition details

Title
  • Further results on bias in dynamic unbalanced panel data models with an application to firm R&​D investment
Author
  • Boris Lokshin
Physical Description
  • article
Notes
  • This article extends the LSDV bias-corrected estimator in (Bun and Carree, 2005) to unbalanced panels and discusses the analytic method of obtaining the solution. Using a Monte Carlo approach the article compares the performance of this estimator with three other available techniques for dynamic panel data models. Simulation reveals that LSDV-bc estimator is a good choice except for samples with small T, where it may be unpractical. The methodology is applied to examine the impact of internal and external R&​D on labour productivity in an unbalanced panel of innovating firms.
  • RePEc:taf:apeclt:v:16:y:2009:i:12:p:1227-1233
Language
  • English
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