R&D and Productivity: Estimating Endogenous Productivity

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R&D and productivity in OECD firms and industries: A hierarchical meta-regression analysis ☆ (2016, unknown): “Autoregressive distributed lag (ARDL) estimations (see A˜nón Higón, 2007) or Markov chain approaches (Doraszelski and Jaumandreu, 2013) can be applied in this line of research.”
Measuring the Bias of Technological Change (2014, methodology): “Our instrumenting strategy is adapted from Doraszelski and Jaumandreu (2013); we refer the reader to that study and the references therein for a discussion of the use of polynomials for instruments.”
Detecting Learning by Exporting (2013, methodology): “I list two partial correlations that directly relate to equation (9) into Table 1, and underscore the importance of incorporating export information into the productivity process.”
R&D and Non-linear Productivity Growth (2016, methodology): “Generally, our production function estimates are in line with those reported in the literature Olley and Pakes (1996), Levinsohn and Petrin (2003), Ackerberg et al. (2006), Doraszelski and Jaumandreu (2013).”
Identification Properties of Recent Production Function Estimators (2015, background): “© 2015 The Econometric Society DOI: 10.3982/ECTA13408 (2002), Criscuolo and Martin (2009), Fernandes (2007), Blalock and Gertler (2004), Alvarez and Lopez (2005), Sivadasan (2009), Ozler and Yilmaz (2009), Topalova and Khandewal (2011), Kasahara and Rodrique (2008), Dollar, Hallward-Dreimeier, and…”