A Discrete-Time Hazard Model of a New Golf Course

References

• Allison, P. D. (1982), “Discrete-Time Methods For The Analysis Of Event Histories,” in S. Leinhardt (ed.), Sociological Methodology. San Francisco, CA: Jossey-Bass, 61–98.
   Google Scholar
• Allison, P. D. (1984), Event History Analysis: Regression For Longitudinal Event Data. Newbury Park, CA: Sage.
   Google Scholar
• Baumgarten, Steven A. (1975), “The Innovative Communicator In The Diffusion Process,” Journal of Marketing Research, 12 (February), 12–8.
   Web of Science ®Google Scholar
• Beltramini, R.F. (1983), “Student Surrogates in Consumer Research,” Journal of the Academy of Marketing Science, 11 (Fall), 438–443.
   Google Scholar
• Blossfeld, H. P., A. Hamerle, and K. U. Mayer (1989), Event History Analysis. Hillsdale, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Bone, Paula Fitzgerald (1995), “Word-of-Mouth Effects on Short-term and Long-term Product Judgements,” Journal of Business Research, 32 (3), 213–224.
   Web of Science ®Google Scholar
• Calder, B.J., W. Phillips, and A.M. Tybout (1982), “The Concept of External Validity,” Journal of Consumer Research, 9 (December), 240–244.
   Web of Science ®Google Scholar
• Childers, Terry L. (1986), “Assessment Of The Psychometric Properties Of An Opinion Leadership Scale,” Journal of Marketing Research, 23 (May), 184–8.
   Web of Science ®Google Scholar
• Churchill, Gilbert A. Jr. (1979), “A Paradigm For Developing Better Measures Of Marketing Constructs,” Journal of Marketing Research, 16 (February), 64–73.
   Web of Science ®Google Scholar
• Churchill, Gilbert A., and D. Oakes (1984), Analysis Of Survival Data. London, England: Chapman and Hall.
   Google Scholar
• Darley, William K. and Jeen-Su Lim (1993), “ Assessing Demand Artifacts in Consumer Research: An Alternative Perspective,” Journal of Consumer Research, 20 (3), 489–495.
   Web of Science ®Google Scholar
• Efron, B. (1988), “Logistic Regression, Survival Analysis, And The Kaplan-Meier Curve,” Journal of the American Statistical Association, 83 (June), 414–25.
   Web of Science ®Google Scholar
• Gatignon, Hubert and Thomas S. Robertson (1985), “A Propositional Inventory For New Diffusion Research,” Journal of Consumer Research, 11 (March), 849–67.
   Web of Science ®Google Scholar
• Goldsmith, Ronald E. (1987), “Self-Monitoring And Innovativeness,” Psychological Reports, 60, 1017–8.
   Web of Science ®Google Scholar
• Goldsmith, Ronald E., Jon B. Freida, and Jacqueline K. Eastman (1995). “The Generality/Specificity Issue in Consumer Innovativeness Research,” Technovation, v. 5, n 10, 601–612.
   Google Scholar
• Goldsmith, Ronald E. and Charier F. Hofacker (1991), “Measuring Consumer Innovativeness,” Journal of the Academy of Marketing Science, 19 (Summer), 209–21.
   Google Scholar
• Goldsmith, Ronald E. and Nicholas Nugent (1984), “Innovativeness And Cognitive Complexity: A Second Look,” Psychological Reports, 55, 431–8.
   Web of Science ®Google Scholar
• Green, Robert T., Eric Langeard, and Alice C. Favell (1974),“Innovation In The Service Sector: Some Empirical Findings,” Journal of Marketing Research, 11 (August), 323–6.
   Web of Science ®Google Scholar
• Guilkey, D. K. and R. R. Rindfuss (1987), “Logistic Regression Multivariate Life Tables,” Sociological Methods And Research, 16 (November), 276–300.
   Web of Science ®Google Scholar
• Hair, Joseph F. Jr., Rolph E. Anderson, Ronald L. Tatham, and William C. Black (1995), Multivariate Data Analysis. New York. NY: Macmillan Publishing Company.
   Google Scholar
• Helsen, K. and D. C. Schmittlein (1989), “Analyzing Duration Times In Marketing Research,” Working Paper, Philadelphia, PA: Wharton School, University of Pennsylvania.
   Google Scholar
• Hick, Michael (1989), “Beyond The 19th Hole,” Accountancy, 103 (June), 114–16.
   Google Scholar
• Hirschman, Elizabeth C. (1980), “Innovativeness, Novelty Seeking, And Consumer Creativity,” Journal of Consumer Research, 7 (December), 283–95.
   Web of Science ®Google Scholar
• Hurt, H. Thomas, Katherine Joseph, and Chester D. Cook (1977), “Scales For The Measurement Of Innovativeness,” Human Communication Research, 4 (Fall), 58–65.
   Google Scholar
• Jain, D. C. and N. J. Vilcassim (1991), “Investigating Household Purchase Timing Decisions: A Conditional Hazard Function Approach,” Marketing Science, 10 (Winter), 1–23.
   Web of Science ®Google Scholar
• Kalbfleisch, J. D. and R. L. Prentice (1980), The Statistical Analysis Of Failure Time Data. New York, NY: Wiley.
   Google Scholar
• Laird, N. and D. Oliver (1981), “Covariance Analysis Of Censored Survival Data Using Log-Linear Analysis Techniques,” Journal of the American Statistical Association, 76 (June), 231–40.
   Web of Science ®Google Scholar
• Lawless, J. F. (1982), Statistical Methods For Lifetime Data. New York, NY: Wiley.
   Google Scholar
• Leavitt, Clark and John Walton (1975), “Development Of A Scale For Innovativeness,” in Advances in Consumer Research, Vol.2, Mary Schlinger, ed., Ann Arbor, MI: Association for Consumer Research, 545–54.
   Google Scholar
• Louviere, Jordan J. and D. A. Hensher (1983), “Using Discrete Choice Models With Experimental Design Data To Forecast Consumer Demand For A Unique Cultural Event,” Journal of Consumer Research, 10 (December), 348–61.
   Web of Science ®Google Scholar
• Lynch, J.G. Jr. (1982), “On the External Validity of Experiments in Consumer Research,” Journal of Consumer Research, 9 (December), 225–239.
   Web of Science ®Google Scholar
• Mahajan, Vijay, Eitan Muller, and Frank M. Bass (1990), “New Product Diffusion Models In Marketing: A Review And Directions For Research,” Journal of Marketing, 54 (January), 1–26.
   Web of Science ®Google Scholar
• McLanahan, S. S. (1988), “Family Structure And Dependency: Early Transition To Female Household Headship,” Demography, 25 (February), 1–16.
   PubMed Web of Science ®Google Scholar
• Midgley, David F. (1976), “A Simple Mathematical Theory Of Innovative Behavior,” Journal of Consumer Research, 3 (June), 31–41.
   Web of Science ®Google Scholar
• Midgley, David F. and Grahame R. Dowling (1978), “Innovativeness: The Concept And Its Measurement,” Journal of Consumer Research, 4 (March), 229–42.
   Web of Science ®Google Scholar
• Midgley, David F. and Grahame R. Dowling (1993), “A Longitudinal Study Of Product Form Innovation: The Interaction Between Predispositions And Social Messages.” Journal of Consumer Research, 19 (March), 611–25.
   Web of Science ®Google Scholar
• Miller, R. G. (1981), Survival Analysis. New York, NY: Wiley.
   Google Scholar
• Mudd, Samuel (1990), “The Place Of Innovativeness In Models Of The Adoption Process: An Integrative Approach,” Technovation, 10 (2), 119–36.
   Web of Science ®Google Scholar
• National Golf Foundation (1989), Golf Consumer Profile 1989 Edition. Juniper, FL: National Golf Foundation.
   Google Scholar
• Nelson, Janet (1990), “Getting Into Golf,” Sales and Marketing Management, 142 (July), 70–8.
   Google Scholar
• Peel, M. J. and D. A. Peel (1988), “A MULTILOGIT Approach To Predicting Corporate Failure: Some Evidence For The UK Corporate Sector,” Omega, 16 (December), 309–18.
   Web of Science ®Google Scholar
• PGA of America (1994), All About Golf Palm Beach Gardens, FL: PGA Golf Enterprises, Inc.
   Google Scholar
• PGA of America (1996), All About Golf II, Palm Beach Gardens, FL: PGA Golf Enterprises, Inc.
   Google Scholar
• Piper, John B. (1990), “Demographics, Buying Power, And Golf Course Demand,” The Appraisal Journal, 58 (October), 468–77.
   Google Scholar
• Raju, P. S. (1980), “Optimum Stimulation Level: Its Relationship To Personality, Demographics, And Exploratory Behavior,” Journal of Consumer Research, 7 (December), 272–82.
   Web of Science ®Google Scholar
• Ram, S. and Hyung-Shik Jung (1994), “Innovativeness In Product Usage: A Comparison Of Early Adopters And Early Majority,” Psychology and Marketing, 11 (January/February), 57–67.
   Google Scholar
• Richard, Michael D. and Arthur W. Allaway (1993), “A Discrete-Time Hazard Model Of Sporting Event Attendance,” Journal of Hospitality and Leisure Marketing, 1 (4), 61–79.
   Google Scholar
• Ridgway, Nancy M. and Linda L. Price (1994), “Exploration In Product Usage: A Model Of Use Innovativeness,” Psychology and Marketing, 11 (January/February), 69–84.
   Google Scholar
• Robertson, Thomas S. (1967), “The Process Of Innovation And The Diffusion of Innovation,” Journal of Marketing, 31 (January), 14–9.
   Web of Science ®Google Scholar
• Robertson, Thomas S. and James N. Kennedy (1968), “Prediction Of Consumer Innovators: Application Of Multiple Discriminant Analysis,” Journal of Marketing Research, 5 (February), 64–9.
   Web of Science ®Google Scholar
• Robertson, Thomas S. and James H. Myers (1969), “Personality Correlates Of Opinion Leadership And Innovative Buying Behavior,” Journal of Marketing Research, 6 (May), 164–8.
   Web of Science ®Google Scholar
• Robertson, Thomas S. (1971), Innovative Behavior And Communication. New York, NY: Holt, Rinehart, and Winston, Inc.
   Google Scholar
• Rogers, Everett M. and F. Floyd Shoemaker (1971), Communication Of Innovations. New York, NY: The Free Press.
   Google Scholar
• Sawyer, Alan G. (1975), “ Demand Artifacts in Laboratory Experiments in Consumer Research,” Journal of Consumer Research, 1 (March), 20–30
   Web of Science ®Google Scholar
• Shimp, Terence A., Eva M. Hyatt, and David J. Snyder (1991), “A Critical Appraisal of Demand Artifacts in Consumer Research,” Journal of Consumer Research, 18, 3, 273–283.
   Web of Science ®Google Scholar
• Sinha, R. K. and M. Chandrashekaran (1992), “A Split Hazard Model For Analyzing The Diffusion Of Innovations,” Journal of Marketing Research, 29 (February), 116–27.
   Web of Science ®Google Scholar
• Symonds, William C. (1989), “The Boom In Golf As Baby Boomers Hit The Links,” Business Week, (March 27), 76–83.
   Google Scholar
• Tuma, N. B. and M. T. Hannan (1984), Social Dynamics: Models And Methods. New York, NY: Academic Press.
   Google Scholar
• Willett, J. B. and J. D. Singer (1991), “How Long Did It Take? Using Survival Analysis In Educational And Psychological Research,” in L. M. Collins and J. L. Horn (eds.), Best Methods For The Analysis Of Change: Recent Advances, Unanswered Questions, Future Directions. Washington, DC: American Psychological Association.
   Google Scholar
• Yamaguchi, K. (1991), Event History Analysis. Newbury Park, CA: Sage.
   Google Scholar
• White House of Consumer Affairs (1986), Consumer Complaint Handling in America: An Update Study, Washington, DC: White House of Consumer Affairs.
   Google Scholar