Chapter 63 Econometric Tools for Analyzing Market Outcomes

By Daniel A. Ackerberg, C. Lanier Benkard, Steven T. Berry, Ariel Pakes. 2007

161 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing

View Paper: https://www.semanticscholar.org/paper/fe070c8133b65b1f4c77ca6ba36ef4bce5cfb7bf

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Citations in the corpus

Proximity and Investment: Evidence from Plant-Level Data (2012, background): “Research in industrial organization has argued that two econometric issues arise when production functions are estimated by OLS (see Ackerberg et al., 2007, for a review).”
Estimation of random coefficients logit demand models with interactive fixed effects (2012, background): “Nevo (2001), Petrin (2002); surveyed in Ackerberg et al. (2007)).”
The Rise of Market Power and the Macroeconomic Implications* (2020, unknown): “We consider two cases: a variable input in production (in our case COGS, v), and investment (i), and Ackerberg et al. (2007) provide an excellent treatment of the two types of control variables.”
R&D and Non-linear Productivity Growth (2016, background): “In particular, static inputs need to have positive cross-partials with productivity and the value of the firm has to be increasing in dynamic inputs (Ackerberg et al., 2007).”
Human Resource Management and Productivity (2010, background): “An important issue is the correct way to econometrically estimate production functions and TFP. Ackerberg et al (2007) have surveyed such methods in a recent Handbook chapter, and this is a lively (but still unsettled) area of research.”
Two-Step Estimation and Inference with Possibly Many Included Covariates (2018, background): “…perspective, our results offer new inference results for many popular estimators in programme evaluation and treatment effect settings (e.g. Abadie and Cattaneo, 2018, and references therein), as well as other areas in empirical microeconomics (e.g. Ackerberg et al., 2007, and references therein).”
R&D and Productivity: Estimating Endogenous Productivity (2013, methodology): “To this end, it rules out measurement error by way of the so-called scalar unobservable assumption (Ackerberg et al., 2007, Section 2.3).25 Our estimator is similarly vulnerable to measurement error.”
Multi-category competition and market power: a model of supermarket pricing (2017, unknown): “Ackerberg et al. (2007) discuss how firstand second-choice data (like in Berry, Levinsohn and Pakes (2004)) or repeated purchases by the same consumer (like in our data), help to pin down the effects of unobserved and observed sources of taste heterogeneity, since both drive correlation between choi”