Inference for Product Competition and Separable Demand

References

• Bajari P, Nekipelov D, Ryan SP, Yang M (2015) Demand estimation with machine learning and model combination. Amer. Econ. Rev. 105(5):481–485.Crossref, Google Scholar
• Barten A (1964) Consumer demand functions under conditions of almost additive preferences. Econometrica 32(1–2):1–38.Crossref, Google Scholar
• Bell ET (1934) Exponential numbers. Amer. Math. Monthly 41(7):411–419.Crossref, Google Scholar
• Berry ST, Levinsohn J, Pakes A (1995) Automobile prices in market equilibrium. Econometrica 63(4):841–890.Crossref, Google Scholar
• Blackorby C, Primont D, Russell RR (1977) On testing separability restrictions with flexible functional forms. J. Econometrics 5(2):195–209.Crossref, Google Scholar
• Blackwell D, MacQueen JB (1973) Ferguson distributions via Pólya urn schemes. Ann. Statist. 1(2):353–355.Crossref, Google Scholar
• Byron R (1970) A simple method for estimating demand systems under separable utility assumptions. Rev. Econom. Stud. 37(2):261–274.Crossref, Google Scholar
• Chintagunta PK, Nair HS (2011) Structural workshop paper—Discrete-choice models of consumer demand in marketing. Marketing Sci. 30(6):977–996.Google Scholar
• Deaton A, Muellbauer J (1980) Economics and Consumer Behavior (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
• DellaVigna S, Gentzkow M (2019) Uniform pricing in US retail chains. NBER Working Paper 23996, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Driscoll P, McGuirk A, Alwang J (1992) Testing hypotheses of functional structure: Some rules for determining flexibility of restricted production models. Amer. J. Agricultural Econom. 74(1):100–108.Crossref, Google Scholar
• Dubé JP, Hitsch GJ, Rossi PE, Vitorino MA (2008) Category pricing with state-dependent utility. Marketing Sci. 27(3):417–429.Link, Google Scholar
• Eddelbuettel D, François R (2011) Rcpp: Seamless R and C++ integration. J. Statist. Software 40(8):1–18.Crossref, Google Scholar
• Ferguson TS (1973) A Bayesian analysis of some nonparametric problems. Ann. Statist. 1(2):209–230.Crossref, Google Scholar
• France SL, Ghose S (2016) An analysis and visualization methodology for identifying and testing market structure. Marketing Sci. 35(1):182–197.Link, Google Scholar
• Goldman S, Uzawa H (1964) A note on separability in demand analysis. Econometrica 32(3):387–398.Crossref, Google Scholar
• Gorman W (1959) Separable utility and aggregation. Econometrica 27(3):469–481.Crossref, Google Scholar
• Green PJ (1995) Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika 82(4):711–732.Crossref, Google Scholar
• Hitsch GJ, Hortaçsu A, Lin X (2017) Prices and Promotions in US Retail Markets: Evidence from Big Data. Working Paper 17-18, Booth School of Business, University of Chicago, Chicago.Google Scholar
• Jacobs BJD, Donkers B, Fok D (2016) Model-based purchase predictions for large assortments. Marketing Sci. 35(3):389–404.Link, Google Scholar
• Jorgenson DW, Lau LJ (1975) The structure of consumer preferences. Ann. Econom. Soc. Measurement 4(1):49–101.Google Scholar
• LaFrance JT (1986) The structure of constant elasticity demand models. Amer. J. Agricultural Econom. 68(3):543–552.Crossref, Google Scholar
• Leontief W (1947) Introduction to a theory of the internal structure of functional relationships. Econometrica 15(4):361–373.Crossref, Google Scholar
• Lindley D (1957) A statistical paradox. Biometrika 44(1–2):187–192.Crossref, Google Scholar
• McFadden D, Train K (2000) Mixed MNL models for discrete response. J. Appl. Econometrics 15(5):447–470.Crossref, Google Scholar
• Mehta N (2007) Investigating consumers’ purchase incidence and brand choice decisions across multiple product categories: A theoretical and empirical analysis. Marketing Sci. 26(2):196–217.Link, Google Scholar
• Mehta N (2015) A flexible yet globally regular multigood demand system. Marketing Sci. 34(6):843–863.Link, Google Scholar
• Montgomery AL (1997) Creating micro-marketing pricing strategies using supermarket scanner data. Marketing Sci. 16(4):315–337.Link, Google Scholar
• Montgomery AL, Rossi PE (1999) Estimating price elasticities with theory-based priors. J. Marketing Res. 36(4):413–423.Crossref, Google Scholar
• Müller P, Quintana F, Jara A, Hanson T (2015) Bayesian Nonparametric Data Analysis, Springer Series in Statistics (Springer, Cham, Switzerland).Crossref, Google Scholar
• Pollak RA (1971) Conditional demand functions and the implications of separable utility. Southern Econom. J. 37(4):423–433.Crossref, Google Scholar
• Pudney SE (1981) An empirical method of approximating the separable structure of consumer preferences. Rev. Econom. Stud. 48(4):561–577.Crossref, Google Scholar
• Ringel DM, Skiera B (2016) Visualizing asymmetric competition among more than 1,000 products using big search data. Marketing Sci. 35(3):511–534.Link, Google Scholar
• Rossi PE (2017) bayesm: Bayesian inference for marketing/micro-econometrics. R package version 3.1-0.1. https://cran.r-project.org/web/packages/bayesm/index.html.Google Scholar
• Rossi PE, Allenby GM, McCulloch R (2005) Bayesian Statistics and Marketing (John Wiley and Sons Ltd., West Sussex, UK).Crossref, Google Scholar
• Rubinfield DL (2000) Market definition with differentiated products: The Post/Nabisco cereal merger. Antitrust Law J. 68:163–185.Google Scholar
• Smith AN, Allenby GM (2019) Demand models with random partitions. J. American Statist. Assoc., ePub ahead of print June 4, https://doi.org/10.1080/01621459.2019.1604360.Google Scholar
• Sono M (1961) The effect of price changes on the demand and supply of separable goods. Internat. Econom. Rev. 2(3):239–271.Crossref, Google Scholar
• Thomassen Ø, Smith H, Seiler S, Schiraldi P (2017) Multi-category competition and market power: A model of supermarket pricing. Amer. Econom. Rev. 107(8):2308–2351.Crossref, Google Scholar