Structural identification of production functions

By Daniel A. Ackerberg, Kevin W. Caves, G. Frazer. 2006

844 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f7abbcd678cdec5bb79e025f5df37f7f09df8ab2

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Citations in the corpus

• Estimating productivity with multi-product firms, pricing heterogeneity and the role of international trade (2010, methodology): “As suggested by Levinsohn and Petrin (2003), we use materials to proxy for productivity: mit = mt(kit,ωit, zit) (2) where zit is a vector containing other variables potentially affecting optimal input demand choice, such as importing and exporting.”
• The Productivity of Information Technology Investments: New Evidence from IT Labor Data (2012, background): “…econometric identification of production functions related to the use of (1) dynamic panel data estimators (Blundell and Bond 2000) and (2) estimators that use structural modeling techniques to identify production functions (Olley and Pakes 1996, Levinsohn and Petrin 2003, Ackerberg et al. 2006).”
• The Multiprod project: A comprehensive overview (2017, methodology): “However, Ackerberg et al. (2006) pointed out that the identification of the coefficient on the variable input is likely to be problematic in Levinsohn and Petrin (2003).24 More recently, Wooldridge (2009) developed a technique that builds upon the Levinsohn and Petrin (2003) method but also…”
• On estimating firm-level production functions using proxy variables to control for unobservables (2009, background): “ Ackerberg and Caves (2003) propose a hybrid”
• Age and productivity : evidence from linked employer employee data (2009, background): “Blundell and Bond (2000) and Bond (2002) however emphasise the importance of correct dynamic specifications and propose a 3 See Ackerberg et al. (2006) for a discussion of the relationship between dynamic panel and structural approaches.”
• Prices, Markups and Trade Reform (2016, methodology): “To estimate the parameter vectors β and δ, we follow Ackerberg et al. (2006) and form moments based on the innovation in the productivity shock ξft.”
• TOTAL FACTOR PRODUCTIVITY ESTIMATION: A PRACTICAL REVIEW (2012, unknown): “ωit = f −1 t (mit, kit), this leads to the following result (Ackerberg et al., 2006):”
• Importers, exporters, and exchange rate disconnect (2014, unknown): “However, as pointed out by Ackerberg, Caves, and Frazer (2006), a potential problem with LP is related to the timing assumption of the freely available input, labor.”
• The Costs of Environmental Regulation in a Concentrated Industry (2012, background): “See Olley and Pakes (1996), Levinsohn and Petrin (2003), and Ackerberg and Caves (2004) for a recent strand of the literature dealing with the empirical implications and identification of productivity shocks on firm behavior.”