Estimation of willingness-to-pay: Theory, measurement, application

Estimation of Willingness-to-Pay: Theory, Measurement, Application

Volumn , Issue , 2006, Pages 1-135

  Breidert, Christoph ^a  

^a Deutscher Universitäts Verlag ^*  (Germany)

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[No Author keywords available]

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EID: 84892274683     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-8350-9244-0     Document Type: Book

References (124)

1. Abrams, J. (1964). A New Method for Testing Pricing Decisions. Journal of Marketing, 28(1).
2. Adams, W. J. and Yellen, J. L. (1976). Commodity Bundling and the Burden of Monopoly. Quarterly Journal of Economics, 90(90).
3. Addelmann, S. (1962). Orthogonal Main-Effect Plans for Asymmetrical Factorial Experiments. Technometrics, 4(1).
4. Agarwal, M. K. (1989). How Many Pairs Should We Use in Adaptive Conjoint Analysis? An Empirical Analysis. In AM A Winter Educators' Conference Proceedings.
5. Allenby, G. M. and Ginter, J. L. (1995). Using Extremes to Design Products and Segment Markets. Journal of Marketing Research, 32(4).
6. Anastasi, A. (1988). Psychological testing. New York, NY: McMillan, New York, 6th edition.
7. Anderson, J., Dipak, J., and Pradeep, K. C. (1993). Understanding Customer Value in Business Markets: Methods of Customer Value Assessment. Journal of Business-to- Business Marketing, 1(1).
8. Bachmann, D. P., Elfrink, J., and Vazzana, G. (1999). E-mail and Snail Mail off in Rematch. Marketing Research, 11(4).
9. Backhaus, K. and Brzoska, L. (2004). Conjointanalytische Praferenzmessungen zur Prognose von Preisreaktionen: Eine empirische Analyse der externen Validitat. DBW Die Betriebswirtschaft, 64(1).
10. Baier, D. (1999). In W. Gaul and M. Schader (Eds.), Mathematische Methoden der Wirtschaftswissenschaften, chapter "Methoden der Conjointanalyse in der Marktforschungs- und Marketingpraxis".
11. Bakos, Y. and Brynjolfsson, E. (1999a). Bundhng and Competition on the Internet. Marketing Science, 19(1).
12. Bakos, Y. and Brynjolfsson, E. (1999b). Bundling Information Goods: Pricing, Profits and Efficiency. Management Science, 45(12).
13. Balderjahn, I. (1991). Ein Verfahren zur empirische Bestimmung von Preisresponsefunktionen. Marketing - Zeitschrift fiir Forschung und Praxis (ZFP), 13.
14. Balderjahn, I. (1993). Marktreaktionen von Konsumenten. Berlin: Dunker u.H.
15. Balderjahn, I. (1994). Der Einsatz der Conjoint-Analyse zur empirischen Bestimmung von Preisresponsefunktionen. Marketing - Zeitschrift fiir Forschung und Praxis (ZFP), 16.
16. Balderjahn, I. (2003). In H. Diller and A. Hermann (Eds.), Handbuch Preispolitik: Strategien - Planung - Organisation - Umsetzung, chapter "Erfassung der Preisbereitschaft". Wiesbaden: Gabler.
17. Becker, G. M., Degroth, M. H., and Marschak, J. (1964). Measuring Utility by a Single- Response Sequential Method. Behavioral Science, 9(2).
18. Brown, T. C, Champ, P. A., Bishop, R. C, and McCollum, D. W. (1996). Which Response Format Reveals the Truth About Donations to a Pubhc Good. Land Economics, 72(2).
19. Camron, T. A. and James, M. D. (1987). Estimating Willingness to Pay from Survey Data: An Alternative Pre-Test-Market Evaluation Procedure. Journal of Marketing Research, 24(4).
20. Carmone, F. J., Green, P. E., and Jain, A. K. (1978). Robustness of Conjoint Analysis: Some Monte Carlo Results. Journal of Marketing Research, 15(2).
21. Carroll, J. D. and Green, P. E. (1995). Psychometric Methods in Marketing Research: Part I, Conjoint Analysis. Journal of Marketing Research, 32(4).
22. Cattin, P. and Wittink, D. R. (1976). A Monte Carlo Study of Metric and Nonmetric Estimation Methods for Multiattribute Models. Research Paper, Graduate School of Business, Standford University, 341.
23. Chakravarti, M., Laha, R., and Roy, J. (1967). Handbook of Methods of Applied Statistics, volume 1. New York: John Wiley and Sons.
24. Chernev, A. (2003). Reverse Pricing and Online Price Elicitation Strategies in Consumer Choice. Journal of Concumser Psychology, 13(1).
25. Cobanoglu, C, Warde, B., and Moreo, P. (2001). A Comparison of Mail, Fax and Webbased Survey Methods. Intemation Journal of Market Research, 43(4).
26. Currim, I. S., Weinberg, C. B., and Wittink, D. R. (1981). Design of Subscription Programs for a Performing Arts Series. The Journal of Consumer Research, 8(1).
27. Diller, H. (2000). Preispolitik. Stuttgart: Kohlhammer Edition Marketing.
28. Dowdeswell, E. (1995). Global Biodiversity Assessment. Cambridge: Cambridge University Press.
29. Eggenberger, C. and Christof, H. (1996). Conjoint Measurement zur Gestaltung von internationalen Telefondienstleistungen. Zeitschrift fur betriebswirtschaftliche Forschung (zfbfh) 48.
30. Eppen, G. D., Hanson, W. A., and Martin, K. R. (1991). Bundling - New Products, New Markets, Low Risk. Sloan Management Review, 32(4).
31. Fischbein, M. (1967). In M. Fishbein (Ed.), Readings in Attitude Theory and Measurement, chapter "A Behavior Theory Approach to the Relations Between Beliefs About an Object and the Attitude Towards the Object".
32. Fuderer, R. (1999). In R. Fiirderer, A. Hermann, and G. Wiibker (Eds.), Optimal Bundle Pricing: Marketing Strategies for Improving Economic Performance, chapter "Stochastic Option Bundling and Bundle Pricing". Berlin, Heidelberg: Springer Verlag.
33. Furderer, R., Hermann, A., and Wiibker, G. (1999). In R. Fiirderer, A. Hermann, amd G. Wiibker (Eds.), Optimal Bundle Pricing: Marketing Strategies for Improving Economic Performance, chapter "Introduction to Price Bundling". Berhn, Heidelberg: Springer Verlag.
34. Gabor, A., Granger, C. W., and Sowter, A. P. (1970). Real and Hypothetical Shop Situations in Market Research. Journal of Marketing Research, 7(3).
35. Goldberg, S. M., Green, P. E., and Yoram, W. (1984). Conjoint Analysis of Price Premiums for Hotel Amenitites. The Journal of Business, 57(1).
36. Green, P. E., Carrol, D. J., and Carmone, F. J. (19738). In J. N. Sheth (Ed.), Research In Marketing, volume 1, chapter "Some New Types of Fractional Designs for Marketing Experiments". Greenwich, CT: JAI Press.
37. Green, P. E., Goldberg, S. M., and Montemayor, M. (1981). A Hybrid Utility Estimation Model for Conjoint Analysis. Journal of Marketing, 45(1).
38. Green, P. E. and Krieger, A. M. (1990). A Hybrid Conjoint Model for Price-Demand Estimation. European Journal of Operational Research, 44(1).
39. Green, P. E. and Krieger, A. M. (1992). An AppHcation of a Product Positioning Model to Pharmaceutical Products. Marketing Science, 11(2).
40. Green, P. E. and Krieger, A. M. (1996). Individuahzed Hybrid Models for Conjoint Analysis. Management Science, 42(6).
41. Green, P. E., Krieger, A. M., and Agarwal, M. K. (1991). Adaptive Conjoint Analysis: Some Caveats and Suggestions. Journal of Marketing Research, 28(2).
42. Green, P. E., Krieger, A. M., and Vavra, T. G. (1997). Evaluating New Products. Marketing Research, 9(4).
43. Green, P. E. and Rao, V. R. (1971). Conjoint Analysis for Quantifying Judgemental Data. Journal of Marketing Research, 8(3).
44. Green, P. E. and Srinivasan, V. (1978). Conjoint Analysis in Consumer Research: Issues and Outlook. The Journal of Consumer Research, 5(2).
45. Green, P. E. and Srinivasan, V. (1990). Conjoint Analysis in Marketing: New Developements With Implications for Research and Practice. Journal of Marketing, 54(4).
46. Gustafsson, A., Hermann, A., and Huber, F. (2000). Conjoint Measurement. Methods and Application. Berlin, Heidelberg: Springer Verlag.
47. Hanson, W. and Martin, K. R. (1990). Optimal Bundle Pricing. Management Science, 36(2).
48. Harrison, G. W. and Rutstrom, E. E. (2004). In C R. Plott and V. L. Smith (Eds.), Handbook of Experimental Economics Results, chapter "Experimental Evidence on the Existence of Hypothetical Bias in Value Elicitation Experiments". New York: Elsevier Press.
49. Hartmann, A. and Sattler, H. (2002a). Commercial Use of Conjoint Analysis in Germany Austria and Switzerland. Retrieved Feb. 1st, 2004 from http://www.henriksattler.de/publikationen/HS-AH-Commercial2002.pdf.
50. Hartmann, A. and Sattler, H. (2002b). Preference Measurement in Marketing Research Practice. In Proceedings of the 31. Annual Conference of the European Marketing Academy.
51. Huber, J. (1997). What We Have Learned from 20 Years of Conjoint Research: When to Use Self-Explicated, Graded Pairs, Full Profiles or Choice Experiments. Technical report, Sawtooth Software Inc.
52. Jedidi, K. and Zhang, Z. J. (2002). Augmenting Conjoint Analysis to Estimate Consumer Reservation Price. Management Science, 48(10).
53. Johnson, R. M. (1974). Trade-Off Analysis of Consumer Values. Journal of Marketing Research, 11(2).
54. Johnson, R. M. (1987). Adaptive Conjoint Analysis. In Sawtooth Software Conference on Perceptual Mapping, Conjoint Analysis, and Computer Interviewing. Sawtooth Software Inc.
55. Johnson, R. M. (1991). Comment on "Adaptive Conjoint Analysis: Come Caveats and Suggestions". Journal of Marketing Research, 28(2).
56. Johnson, R. M. (2001). History of ACA. Technical report. Sawtooth Software Inc.
57. Kagel, J. H., Harstad, R. M., and Levin, D. (1987). Information Impact and Allocation Rules in Auctions with Affiliated Private Values: A Laboratory Study. Econometrica, 55(6).
58. Kalish, S. and Nelson, R (1991). A Comparison of Ranking, Rating and Reservation Price Measurement in Conjoint Analysis. Marketing Letters, 2(4).
59. Kaplowitz, M. D., Hadlock, T. D., and Levine, R. (2004). A Comparison of Web Mail Survey Response Rates. Public Opinion Quaterly, 68(1).
60. Kephart, J. 0., Brooks, C. H., and Das, R. (2001). Pricing Information Bundles in a Dynamic Environment. Proceedings of the ACM Conference on Electronic Commerce (EC'Ol), Tampa, Florida, USA, October 2001.
61. Kohli, R. and Mahajan, V. (1991). A Reservation-Price Model for Optimal Pricing of Multiattribute Products in Conjoint Analysis. Journal of Marketing Research, 28(3).
62. Kotler, P. and Armstrong, G. (2001). Principles of Marketing. Prentice Hall, Upper Saddle River, NJ 07458, 9th edition.
63. Kruskal, J. B. (1965). Analysis of Factorial Experiments by Estimating Monotone Transformations of the Data. Journal of the Royal Statistical Society, 27 (Series B).
64. Leibenstein, H. (1950). Bandwagon, Snob, and Veblen Effects in the Theory of Consumer's Demand. Quarterly Journal of Economics, 64(2).
65. Lenk, P. J., DeSarbo, W. S., Green, P. E., and Young, M. R. (1996). Hierarchical Bayes Conjoint Analysis: Recovery of Partwort Heterogeneity from Reduced Experimental Designs. Marketing Science, 15(2).
66. Louviere, J. and Woodworth, G. (1983). Design and Analysis of Simulated Consumer Choice or Allication Experiments: An Approach Based on Aggregate Data. Journal of Marketing Research, 20(4).
67. Mahajan, V., Green, P. E., and Goldberg, S. M. (1982). A Conjoint Model for Measuring Self- And Cross-Price/Demand Relationships. Journal of Marketing Research, 19(3).
68. Mansfield, E. and Yohe, G. (2004). Microeconomics Theory/Applications. W. W. Norton k Company Inc., New York, London, 11th edition.
69. Marbeau, Y. (1987). What Value Pricing Research today? Jounal of the Market Research Society, 29(2).
70. Market Vision Research (2002). Conjoint Analysis: An Introduction (whitepaper). Retrieved Feb. 1st, 2003 from www.mv-research.com/pdf/ IntrotoConjoint2002.pdf.
71. McFadden, D. (1980). Econometric Models for Probablistic Choice Among Products. The Journal of Business, 53(3).
72. McFadden, D. (1986). The Choice Theory Apporach to Market Research. Marketing Science, 5(4).
73. Monroe, K. (2003). Pricing: Making Profitable Decisions. McGraw-Hill Irwin, 3rd edition.
74. Monroe, K. B. and Cox, J. L. (2001). Pricing Practices that Endanger Profits. Marketing Management, 10(3).
75. Naert, P. A. and Leeflang, P. S. (1978). Building Implementable Marketing Models. Martinus Nijhoff Social Sciences Division, Leiden/Boston.
76. Nagle, T. T. and Holden, R. K. (2002). The Strategy and Tactics of Pricing. Prentice Hall.
77. Nessim, H. and Dodge, R. (1995). Pricing - Policies and Procedures. London: MacMillan Press.
78. Noussair, C, Robin, S., and Ruffieux, B. (2004). Revealing Consumers' Willingness to- Pay: A Comparison of the BDM Mechanism and the Vickrey Auction. Journal of Economic Psychology, 25(6).
79. Olderog, T. and Skiera, B. (2000). The Benefits of Bundling Strategies. Schmalenbach Business Review, 2(52).
80. Orme, B. (2001). Assessing the Monetary Value of Attribute Levels with Conjoint Analysis: Warnings and Suggestions. Technical report. Sawtooth Software Inc.
81. Orme, B. (2002). Formulating Attributes and Levels in Conjoint Analysis. Technical report, Sawtooth Software Inc.
82. Orme, B. (2003). Wich Conjoint Method Should I use? Technical report. Sawtooth Software Inc.
83. Parducci, A. (1974). In E. C. Carterette and M. P. (Eds.), Handbook of Perception, volume 2, chapter "Contextual Effects: A Range-Frequency Analysis". New York: Academic Press.
84. Pigou, A. C. (1920). The Economics of Welfare. McMillan Press, London.
85. Pinell, J. (1994). Multistage Conjoint Methods to Measure Price Sensitivity. Technical report. Sawtooth Software Inc.
86. Rao, V. R. (1993). In J. Eliashberg and G. L. Lilien (Eds.), Handbooks in Operations Research and Management Science, chapter "Pricing Decisions Models in Marketing". Amsterdam: North Holland.
87. Rao, V. R. and Gautschi, D. A. (1982). In L. McAlister (Ed.), Choice Models for Buyer Behavior, chapter "The Role of Price in Individual Utility Judgements: Developement and Empirical Validation of Alternative Models". Greenwich: JAI Press.
88. Ratchford, B. T. (1979). Operationalizing Economic Models of Demand for Product Characteristics. Journal of Consumer Research, 6(2).
89. Sattler, H., Hensel-Borner, S., and Kriiger, B. (2001). Die Abhangigkeit der Validitat von Conjoint-Studien von demographischen Probanden- Charakteristika: Neue empirische Befunde. Zeitschrift fur Betriebswirtschaft (ZfB), 71.
90. Sattler, H. and Nitschke, T. (2003). Ein empirischer Vergleich von Instrumenten zur Erhebung von Zahlungsbereitschaften. Zeitschrift fiir Betriebswirtschaft (ZfB), 55.
91. Sawtooth Software Inc. (2002). ACA 5.0 Technical Paper. Technical report, Sawtooth Software Inc.
92. Sawtooth Software Inc. (2003). CBC Hierarchical Bayes Analysis Technical Paper (version 3.0). Technical report. Sawtooth Software Inc.
93. Schmalensee, R. (1984). Gaussian Demand and Commodity Bundling. Journal of Business, 57(1).
94. Schmidt-Thieme, L. (2004). jAC - A Modular Framework for Online Adaptive Conjoint Analysis. Technical report, University of Freiburg, retrieved Jan. 10th, 2004 from http://www.informatik.uni-freiburg.de/cgnm/jac.
95. Scitovsky, T. (1945). Some Consequences of the Habit of Judging Quality by Price. Review of Economic Studies, 12(2).
96. Shapiro, S. and Wilk, M. (1965). An Analysis of Variance Test for Normality (Complete Samples). Biometrika, 52(1).
97. Silk, A. J. and Urban, G. L. (1978). Pre-Test-Market Evaluation of New Packaged Goods: A Model and Measurement Methodology. Journal of Marketing Research, 15(2).
98. Simon, H. and Wiibker, G. (1999). Optimal Bundling: Marketing Strategies for Improving Economic Performance, chapter "Bundling - A Powerful Method to Better Exploit Profit Potential". Berlin, Heidelberg: Springer Verlag.
99. Simonin, B. L. and Ruth, J. A. (1995). Bundling as a Strategic for New Product Introduction: Effects on Consumers' Reservation Price, and Its Tie-in. Journal of Business Research, 33(3).
100. Skiera, B. and Revenstorff, I. (1999). Auktionen als Instrument zur Erhebung von Zahlungsbereitschaften. Zeitschrift fiir betriebswirtschaftliche Forschung (zfbf), 51.
101. Srinivasan, V. (1982). In L. McAlister (Ed.), Choice Models for Buyer Behavior, chapter "Comments on the Role of Price in Individual Utility Judgements". Greenwich: JAI Press.
102. Srivastava, L. (2005). Mobile Phones and the Evolution of Social Behaviour. Behaviour & Information Technology, 24(2).
103. Steenkamp, J.-B. E. and Wittnik, D. R. (1994). The Metric Quality of Full-Profile Judgements and the Number-of-Attribute-Levels Effect in Conjoint Analysis. International Journal of Research in Marketing, 11(3).
104. Stoetzel, J. (1954). In P. L. Reynaud (Ed.), La Psychologic Economique, chapter "Le Prix Comme Limite". Paris: P. L. Reynaud.
105. Stout, R. G. (1969). Developing Data to Estimat Price-quantity Relationships. Journal of Marketing, 33(2).
106. Strotz, R. H. (1957). The Empirical Implications of a Utility Tree. Econometrica, 25(2).
107. Van Westendorp, P. H. (1976). NSS-Price Sensitivity Meter: A New Approach to Study Consumer Preception of Prices. In Venice: ESOMAR Congress, Venice.
108. Varian, H. G. (1995). Pricing Information Goods. Technical report, Research Libraries Group Symposiums "Scholarship in the New Information Environment", Harvard Law School.
109. Varian, H. R. (2003). Intermediate Economics - A Modem Approach. New York, London: W. W. Norton and Company, New York, London, 6th edition.
110. Venkatesh, R. and Mahajan, V. (1993). A Probablistic Approach to Pricing a Bundle of Products or Services. Journal of Marketing Research, 30(4).
111. Verlegh, P. W., Schifferstein, H. N., and Wittink, D. R. (2002). Range and Numberof- Levels Effects in Derived and Staded Measures of Attribute Importance. Marketing Letters, 13(1).
112. Vickrey, W. (1961). Counterspeculation, Auctions, and Competitive Sealed Tenders. Journal of Finance, 16(1).
113. Voeth, M. (1999). 25 Jahre conjointanalytische Forschung in Deutschland. Zeitschrift fur Betriebswirtschaft (ZfB) Ergdnzungsheft 2/99.
114. Voeth, M. and Hahn, C. (1998). Limit Conjoint-Analyse. Marketing Zeitschrift fiir Forschung und Praxis (ZFP), 2.
115. Weiber, R. and Rosendahl, T. (1997). Anwendungsprobleme der Conjoint-Analyse: Die Eignung conjointanalytischer Untersuchungsansatze zur Abbildung realer Kaufentscheidungen. Marketing - Zeitschrift fur Forschung und Praxis (ZFP), 2.
116. Wertenbroch, K. and Skiera, B. (2002). Measuting Consumers' Willingness to Pay at the Point of Purchase. Journal of Marketing Research, 39(2).
117. Williams, P. and Kilroy, D. (2000). Calibrating Price in AC A: The ACA Price Effect and How to Manage it. Technical report, Sawtooth Software Inc.
118. Wittink, D. R. and Cattin, P. (1989). Commercial Use of Conjoint Analysis: An Update. Journal of Marketing, 53(3).
119. Wittink, D. R., Krishnamurthi, L., and Nutter, J. B. (1989). The Effect of Differences in the Number of Attribute Levels on Conjoint Results. Marketing Letters, 1.
120. Wittink, Dick, R. and Cattin, P. (1981). Alternative Estimation Methods for Conjoint Analysis: A Monte Carlo Study. Journal of Marketing Research, 18(1).
121. Wittink, D. R., V. M. and Burhenne, W. (1994). Commercial Use of Conjoint Analysis in Europe: Results and Critical Reflections. International Journal of Research in Marketing, 11(1).
122. Wiibker, G. (1999). Sonderangebotspolitik und Preisbiindelung. Zeitschrift fur betriebswirtschaftliche Forschung (zfbf), 51.
123. Wiibker, G. and Mahajan, V. (1999). In R. Fiirderer, A. Herrmann, and G. Wiibker (Eds.), Optimal Bundle Pricing: Marketing Strategies for Improving Economic Performance, chapter "A Conjoint Analysis-Based Procedure to Measure Reservation Price and to Optimally Price Product Bundles". Berlin, Heidelberg: Springer Verlag.
124. Young, F. W. (1973). Conjoint Scaling (Working Paper). The L.L. Thurstone Psachometric Laboratory, University of North Carolina.