The Value of Field Experiments

References

• Anderson ET, Simester DI (2001) Are sale signs less effective when more products have them? Marketing Sci. 20(2):121–142.Link, Google Scholar
• Anderson ET, Simester DI (2013) Advertising in a competitive market: The role of product standards, customer learning, and switching costs. J. Marketing Res. 50(4):489–504.Crossref, Google Scholar
• Anderson ET, Cho E, Harlam BA, Simester DI (2010) What affects price and price cue elasticities? Evidence from a field experiment, Working paper, Massachusetts Institute of Technology, Cambridge.Google Scholar
• Candès EJ (2006) Compressive sampling. Proc. Internat. Congress Math., Madrid, Spain.Google Scholar
• Candès EJ, Tao T (2005) Decoding by linear programming. IEEE Trans. Inform. Theory 51(12):4203–4215.Crossref, Google Scholar
• Candès EJ, Romberg J, Tao T (2006) Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inform. Theory 52(2):489–509.Crossref, Google Scholar
• Dani V, Hayes TP, Kakade SM (2008) Stochastic linear optimization under bandit feedback. Proc. 21st Annual Conf. Learn. Theory (COLT), Helsinki, Finland.Google Scholar
• Dubé J-P, Hitsch GJ, Rossi PE, Vitorino MA (2008) Category pricing with state-dependent utility. Marketing Sci. 27(3):417–429.Link, Google Scholar
• Erdem T (1996) A dynamic analysis of market structure based on panel data. Marketing Sci. 15(4):359–378.Link, Google Scholar
• Farias V, Jagabathula S, Shah D (2013) A nonparametric approach to modeling choice with limited data. Management Sci. 59(2): 305–322.Link, Google Scholar
• George EI, McCulloch RE (1993) Variable selection via Gibbs sampling. J. Amer. Statist. Assoc. 88(423):881–889.Crossref, Google Scholar
• Hauser JR, Toubia O, Evgeniou T, Befurt R, Dzyabura D (2010) Disjunctions of conjunctions, cognitive simplicity, and consideration sets. J. Marketing Res. 47(3):485–496.Crossref, Google Scholar
• Huber J, Zwerina K (1996) The importance of utility balance in efficient choice designs. J. Marketing Res. 33(3):307–317.Crossref, Google Scholar
• Keane MP (1997) Modeling heterogeneity and state dependence in consumer choice behavior. J. Bus. Econom. Statist. 15(3):310–327.Crossref, Google Scholar
• Lewis RA, Rao JM (2013) On the near impossibility of measuring advertising effectiveness. Working paper, Google, Inc., Mountain View, CA.Google Scholar
• Li JQ (2014) The value of field experiments in estimating demand elasticities and maximizing profit. Ph.D. dissertation, Massachusetts Institute of Technology, Cambridge.Google Scholar
• Liu Q, Arora N (2011) Efficient choice designs for a consider-then-choose model. Marketing Sci. 30(2):321–338.Link, Google Scholar
• Louviere JJ, Hensher DA, Swait JD (2000) Stated Choice Methods Analysis and Application (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
• Louviere JJ, Street D, Burgess L (2004) A 20+ years’ retrospective on choice experiments. Wind J, ed. Tribute to Paul Green, Chap. 8. International Series in Quantitative Marketing (Kluwer Academic Publishers, Dordrecht, The Netherlands).Crossref, Google Scholar
• Manchanda P, Ansari A, Gupta S (1999) The “shopping basket”: A model for multicategory purchase incidence decisions. Marketing Sci. 18(2):95–114.Link, Google Scholar
• Mersereau AJ, Rusmevichientong P, Tsitsiklis JN (2009) A structured multi-armed bandit problem and the greedy policy. IEEE Trans. Automatic Control 54(12):2787–2802.Crossref, Google Scholar
• Sandor Z, Wedel M (2001) Designing conjoint choice experiments using managers’ prior beliefs. J. Marketing Res. 38(4):430–444.Crossref, Google Scholar
• Seetharaman PB, Ainslie A, Chintagunta PK (1999) Investigating household state dependence effects across categories. J. Marketing Res. 36(4):488–500.Crossref, Google Scholar
• Tibshirani R (1996) Regression shrinkage and selection via the Lasso. J.R. Stat. Soc. Ser. B 58(1):267–288.Google Scholar
• Toubia O, Simester DI, Hauser JR, Dahan E (2003) Fast polyhedral adaptive conjoint estimation. Marketing Sci. 22(3):273–303.Link, Google Scholar
• Tversky A (1972) Elimination by aspects: A theory of choice. Psych. Rev. 79(4):281–299.Crossref, Google Scholar
• Valiant LG (1984) A theory of the learnable. Comm. ACM 27(11):1134–1142.Crossref, Google Scholar
• Villas-Boas JM, Winer RS (1999) Endogeneity in brand choice models. Management Sci. 45(10):1324–1338.Link, Google Scholar
• Wainwright MJ (2009) Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting. IEEE Trans. Inform. Theory 55(12):5728–5741.Crossref, Google Scholar