Econometric Tools for Analyzing Market Outcomes

By Daniel A. Ackerberg, L. Benkard, Steven T. Berry, Ariel Pakes, James J. Heckman, Edward E. Leamer. 2007

755 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ffe4bf2710314cce57d6abd90f33ad4a5107687a

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Citations in the corpus

Trade Liberalization and Markup Dispersion: Evidence from China's WTO Accession (2015, methodology): “The identifying assumption associated with our DID estimation specication (1) is that conditional on a list of controls ( i;Xit; t), our regressor of interest, Tariffi2001 Post02t,”
Americans Do I.T. Better: US Multinationals and the Productivity Miracle (2012, unknown): “As with recent trade theory ( e.g., Antras, Garicano, and Rossi-Hansberg 2008 , we assume that a multinational can transfer its management practices overseas ( subject to some cost .”
Product Differentiation, Multi-Product Firms and Estimating the Impact of Trade Liberalization on Productivity (2007, background): “Moving from specification [2] to [3] I implicitly assume a time invariant productivity shock which results in a higher estimated Lerner index (from 0.”
Panel Data Estimates of the Production Function and Product and Labor Market Imperfections (2010, unknown): “Section 2 explains our theoretical framework and identication strategy. Section 3 presents the data and shows for illustration the estimates of average output elasticities and average market imperfection parameters that we nd for manufacturing industries as a 3Our analysis is most closely related ”
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.”
R&D and Non-linear Productivity Growth (2016, background): “Generally, both the theoretical models have assigned a substantial role to R&D as an important engine of productivity growth (Griliches, 1973; Terleckyj, 1974), and the empirical literature has confirmed that a significant share of variation in the observed productivity across firms can be explained”
Structural Workshop Paper - Discrete-Choice Models of Consumer Demand in Marketing (2011, methodology): “in-consumption speci cation, and we go back to the case discussed in (2).”
Spillovers in Space: Does Geography Matter? (2016, unknown): “There is a huge literature on estimating production functions (see, e.g. Ackerberg et al, 2007).”
Consumer Demand for Fair Trade: Evidence from a Multistore Field Experiment (2015, methodology): “For the estimation, we follow a standard framework in the discrete-choice literature (Ackerberg et al., 2007; Nevo, 2010).”
The First-Order Approach to Merger Analysis (2013, unknown): “…of even a single firm, enough instruments must be available to hold fixed all other firms’ prices (as they do not in equilibrium stay fixed in response to a single-firm cost shock), leading to the classic curse of dimensionality (Ackerberg et al., 2007) in empirical industrial organization.”
Do exports generate higher productivity? Evidence from Slovenia (2007, unknown): “Some authors have argued that exporting firms may gain access to technical expertise from their buyers, which non exporters do not have.(2) While the self-selection hypothesis has been confirmed by various authors, the evidence on the learning hypothesis has been less clear-cut.”