Competitive Pricing Behavior in the Auto Market: A Structural Analysis

By K. Sudhir. 2001

283 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/478379df5a9ae1a859e35663ab7a681179e737f6

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Citations in the corpus

Do private labels increase retailer bargaining power? (2010, methodology): “Its magnitude reflects that price sensitivity increased around 33% in the presence of promotions, a result that is consistent with other research (Van Heerde et al. 2001; Sudhir 2001b).”
Balancing Profitability and Customer Welfare in a Supermarket Chain (2003, methodology): “In many product markets, such as automobiles (Berry et al., 1995; Petrin, 2001; Sudhir, 2001a), researchers have readily-available measurable attributes to capture the underlying market segments in the category.”
Bayesian Analysis of Simultaneous Demand and Supply (2003, methodology): “Berry et al. (1995) use this method to investigate automobile pricing, Sudhir (2001a) uses it to study the automobile market competition, and Goolsbee and Petrin (2001) use it to investigate the introduction of direct broadcast satellite as an alternative to cable television.”
Handling Endogenous Regressors by Joint Estimation Using Copulas (2012, unknown): “The RCL model has been applied to aggregatelevel data by numerous researchers (e.g., Chintagunta 2001, Sudhir 2001) beginning with Berry et al. (1995).”
The Role of Big Data and Predictive Analytics in Retailing (2017, methodology): “The basic model is a standard logit-type, aggregate-based SKU-level, attraction model (Cooper and Nakanishi, 1989; Sudhir 2001).”
Nested Logit or Random Coefficients Logit? A Comparison of Alternative Discrete Choice Models of Product Differentiation (2014, background): “Nevo (2001), Petrin (2002) and Sudhir (2001) are early applications with interesting extensions of BLPs full random coe¢ cients model.”
Bayesian Analysis of Random Coefficient Logit Models Using Aggregate Data (2009, methodology): “A large and growing body of research employs the GMM technique due to Berry (1994) to estimate such models with aggregate data (c.f. Chintagunta, Dube, and Singh 2003, Davis 2007, Goldfarb, Lu, and Moorthy 2005, Nevo 2000, 2001, Sudhir 2001, Villas-Boas 2004,).”
Structural Modeling in Marketing: Review and Assessment (2006, background): “Sudhir (2001) finds that nature of pricing varies across segments in the U.S. automobile market.”
Product Positioning and Competition: The Role of Location in the Fast Food Industry (2007, background): “9 See Anderson, de Palma and Thisse (1992), p. 350. substitutes as random coefficients play in many papers (McFadden and Train (2000), Sudhir (2001), Chintagunta, Dube and Singh (2003)), or that the variance-covariance terms play in papers using probit demand choice (Chintagunta (2001)).”
Frugal IV alternatives to identify the parameter for an endogenous regressor (2009, methodology): “Although price endogeneity can be caused by a price-setting firm taking unobserved product attributes into account while interacting with competition, it can also be a result of the mechanics of consumers' optimization problems or measurement error in price (Nevo, 2000; Sudhir, 2001).”
Toward a 'masstige' theory and strategy for marketing (2018, background): “To fill these gaps in the literature, we extend prior research (Kirmani et al., 1999; Sudhir, 2001; Yoo et al., 2000; Yoo and Donthu, 2001; Roth et al., 2008; Zhou et al., 2010; Pappu and Quester, 2010; Paul, 2015b; Kumar and Paul, 2018), with the specific research objectives as follows: 1 Measure…”
Determining the Appropriate Depth and Breadth of a Firm's Product Portfolio (2003, background): “The models of Berry, Levinsohn, and Pakes (1995, 1998) and Sudhir (2001) had assumed: Assumption 3: The importance weights are normally distributed with mean Ew and variance–covariance matrix, V.”
Forecasting Marketing-Mix Responsiveness for New Products (2010, background): “Another option to estimate the demand equation would be to impose structural assumptions on the supply side and estimate it jointly with the demand-side model (Berry, Levinsohn, and Pakes 1995; Sudhir 2001).”
Structural Analysis of Competitive Behavior: New Empirical Industrial Organization Methods in Marketing (2001, methodology): “Nash profits . Sudhir 2001a extends this argument to allow for firms to place negative weights on competitor profits in his analysis of the auto market.”
Structural Analysis of Manufacturer Pricing in the Presence of a Strategic Retailer (2001, background): “Many DSSs assume manufacturer Stackelberg behavior between manufacturers and retailers (e.g., MARKETING SCIENCE/Vol. 20, No. 3, Summer 2001 261 Tellis and Zufryden 1995).”