Structural Workshop Paper—Descriptive, Structural, and Experimental Empirical Methods in Marketing Research

Published Online:https://doi.org/10.1287/mksc.1110.0681

References

  • Anderson E. T., Simester D. I. Effects of $9 price endings on retail sales: Evidence from field experiments. Quant. Marketing Econom. (2003) 1(1):93–110CrossrefGoogle Scholar
  • Anderson E. T., Simester D. I. Long-run effects of promotion depth on new versus established customers: Three field studies. Marketing Sci. (2004) 23(1):4–20LinkGoogle Scholar
  • Bajari P., Fox J., Kim K., Ryan S. Identification and estimation of random utility models. (2009) . Working paper, University of Minnesota, Twin Cities, MinneapolisGoogle Scholar
  • Berry S., Reiss P., Armstrong M., Porter R. Empirical models of entry and market structure. Handbook of Industrial Organization (2007) 3(Elsevier Science, Amsterdam) 1845–1886Google Scholar
  • Briesch R., Chintagunta P., Matzkin R. Nonparametric discrete choice models with unobserved heterogeneity. J. Bus. Econom. Statist. (2010) 28(2):291–307CrossrefGoogle Scholar
  • Bronnenberg B. J., Dhar S. K., Dubé J.-P. H. Brand history, geography, and the persistence of CPG brand shares. J. Political Econom. (2009) 117(1):87–115CrossrefGoogle Scholar
  • Bronnenberg B., Dubé J.-P., Gentzkow M. The evolution of brand preferences: Evidence from consumer migration. (2010) . NBER Working Paper 16267, National Bureau of Economic Research, Cambridge, MACrossrefGoogle Scholar
  • Bronnenberg B. J., Rossi P. E., Vilcassim N. J. Structural modeling and policy simulation. J. Marketing Res. (2005) 42(1):22–26CrossrefGoogle Scholar
  • Chintagunta P., Dubé J.-P., Singh V. Balancing profitability and customer welfare in a supermarket chain. Quant. Marketing Econom. (2003) 1(1):111–147CrossrefGoogle Scholar
  • Chintagunta P., Erdem T., Rossi P. E., Wedel M. Structural modeling in marketing: Review and assessment. Marketing Sci. (2006) 25(6):604–616LinkGoogle Scholar
  • Ellickson P. B., Misra S. Estimating discrete games. Marketing Sci. (2011) 30(6):997–1010LinkGoogle Scholar
  • Epple D., McCallum B. Simultaneous equation econometrics: The missing example. Econom. Inquiry (2006) 44(2):374–384CrossrefGoogle Scholar
  • Fair R. C., Jaffee D. M. Methods of estimation for markets in disequilibrium. Econometrica (1972) 40(3):497–514CrossrefGoogle Scholar
  • Fienberg S. Graphical methods in statistics. Amer. Statistician (1979) 33(4):165–178Google Scholar
  • Fox J., Gandhi A. Identifying heterogeneity in economic choice models. (2009) . Working paper, University of Chicago, ChicagoCrossrefGoogle Scholar
  • Frisch R.Statistical Confluence Analysis by Means of Complete Regression Systems (1934) (University Institute of Economics, Oslo, Norway) . Publication 5Google Scholar
  • Hahn J., Hausman J. A new specification test for the validity of instrumental variables. Econometrica (2002) 70(1):163–189CrossrefGoogle Scholar
  • Heckman J. Instrumental variables: A study of implicit behavioral assumptions used in making program evaluations. J. Human Resources (1997) 32(3):441–462CrossrefGoogle Scholar
  • Hui S., Bradlow E., Fader P. Testing behavioral hypotheses using an integrated model of grocery store shopping path and purchase behavior. J. Consumer Res. (2009a) 36(3):478–493CrossrefGoogle Scholar
  • Hui S., Bradlow E., Fader P. The traveling salesman goes shopping: The systematic deviations of grocery paths from TSP optimality. Marketing Sci. (2009b) 28(3):566–572LinkGoogle Scholar
  • Kadiyali V., Sudhir K., Rao V. Structural analysis of competitive behavior: New empirical industrial organization methods in marketing. Internat. J. Res. Marketing (2001) 18(1–2):161–186CrossrefGoogle Scholar
  • Keane M. A structural perspective on the experimentalist school. J. Econom. Perspect. (2010) 24(2):47–58CrossrefGoogle Scholar
  • Kerin R. In pursuit of an ideal: The editorial and literary history of the Journal of Marketing. J. Marketing (1996) 60(1):1–13CrossrefGoogle Scholar
  • Larson J., Bradlow E., Fader P. An exploratory look at supermarket shopping paths. Internat. J. Res. Marketing (2005) 22(4):395–414CrossrefGoogle Scholar
  • Levav J., Heitmann M., Herrmann A., Iyengar S. Order in product customization decisions: Evidence from field experiments. J. Political Econom. (2010) 118(2):274–299CrossrefGoogle Scholar
  • Lewis R., Reiley D. Retail advertising works! (2009) . Working paper, University of Arizona, TucsonGoogle Scholar
  • Lodish L. M., Abraham M. M., Livelsberger J., Lubetkin B., Richardson B., Stevens M. E. A summary of fifty-five in-market experiments of the long-term effect of TV advertising. Marketing Sci. (1995) 14(3, Part 2 of 2):G133–G140LinkGoogle Scholar
  • Maddala G. S., Griliches Z., Intriligator M. Disequilibrium, self-selection, and switching models. Handbook of Econometrics (1986) 3(Elsevier Science, Amsterdam) 1633–1688Google Scholar
  • Manski C.Partial Identification of Probability Distributions (2003) (Springer-Verlag, New York) Google Scholar
  • Manski C., Tamer E. Inference on regressions with interval data on a regressor or outcome. Econometrica (2002) 70(2):519–546CrossrefGoogle Scholar
  • Matzkin R. Heterogeneous choice. (2007) . Working paper, Northwestern University, Evanston, ILGoogle Scholar
  • Mazzeo M. J. Marketing structural models: “Keep it real”. Marketing Sci. (2006) 25(6):617–619LinkGoogle Scholar
  • Reiss P., Wolak F., Heckman J. J., Leamer E. E. Structural econometric modeling: Rationales and examples from industrial organization. Handbook of Econometrics (2007) 6A(Elsevier Science, Amsterdam) 4277–4415CrossrefGoogle Scholar
  • Reiss P., Wolak F. How can instrumental variable methods be defended? (2011) . Working paper, Stanford Graduate School of Business, Stanford University, Stanford, CAGoogle Scholar
  • Rosenzweig M., Wolpin K. Natural “natural experiments” in economics. J. Econom. Literature (2000) 38(4):827–874CrossrefGoogle Scholar
  • Stock J., Yogo M., Stock J., Andrews D. Testing for weak instruments in linear IV regression. Identification and Inference for Econometric Models: A Festschrift in Honor of Thomas Rothenberg (2005) (Cambridge University Press, Cambridge, UK) . Chapter 5CrossrefGoogle Scholar
  • Stout R. Developing data to estimate price-quantity relationships. J. Marketing (1969) 33(2):34–36CrossrefGoogle Scholar
  • Tufte E.Envisioning Information (1990) (Graphics Press, Cheshire, CT) Google Scholar
  • Tufte E.The Visual Display of Quantitative Information (1997) (Graphics Press, Cheshire, CT) Google Scholar
  • Wilkinson L.The Grammar of Graphics (2005) 2nd ed.(Springer, New York) Google Scholar
  • Wilson A., Baker M., Hart S. Marketing research. The Marketing Book (2008) (Butterworth-Heinemann, Oxford, UK) . Chapter 8CrossrefGoogle Scholar
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