• Ph.D. - Virginia Tech, 1992, Major: Marketing, Minor: Statistics
• MBA - Radford University, 1988
• BS - Radford University, 1987, Major: Marketing, Minor: Mathematics

Research Interests:

• Modeling consumers’ perceptions, preferences, and choices
• Retail scanner data modeling and analysis
• Time series analysis and forecasting
• New product development methods
• Consumer decision making
• Quantitative methods in marketing research
• Research design and methodology

Selected Publications:

• Andrews, Rick L., Andrew Ainslie, and Imran S. Currim (2008), “On the Recovery of Choice Behaviors with Random Coefficients Choice Models in the Context of Limited Data and Unobserved Effects,” Management Science, 54 (1), 83-99.

• Swait, Joffre and Rick L. Andrews (2003), “Enriching Scanner Panel Models with Choice Experiments,” Marketing Science, 22 (Fall), 442-460.

• Andrews, Rick L. and Imran S. Currim (2003), “A Comparison of Segment Retention Criteria for Finite Mixture Logit Models,” Journal of Marketing Research, 40 (May), 235-243.

• Andrews, Rick L., Andrew Ainslie, and Imran S. Currim (2002), “An Empirical Comparison of Logit Choice Models with Discrete Versus Continuous Representations of Heterogeneity,” Journal of Marketing Research, 39 (November), 479-487.

• Andrews, Rick L., Asim Ansari, and Imran S. Currim (2002), “Hierarchical Bayes vs. Finite Mixture Conjoint Analysis Models:  A Comparison of Fit, Prediction, and Partworth Recovery,” Journal of Marketing Research, 39 (February), 87-98.

• Abramson, Charles, Rick L. Andrews, Imran S. Currim, and Morgan Jones (2000), “Parameter Bias from Unobserved Effects in the Multinomial Logit Model of Consumer Choice,” Journal of Marketing Research, 37 (November), 410-426.

• Andrews, Rick L. and Ajay K. Manrai, (1999) “MDS Maps for Product Attributes and Market Response:  An Application to Scanner Panel Data,” Marketing Science, 18 (4), 584-604.

• Andrews, Rick L. and Ajay K. Manrai (1998), “Simulation Experiments in Choice Simplification:  The Effects of Task and Context on Forecasting Performance,” Journal of Marketing Research, 35 (May), 198-209.

• Andrews, Rick L. and T.C. Srinivasan (1995), “Studying Consideration Effects in Empirical Choice Models Using Scanner Panel Data," Journal of Marketing Research, 32 (February), 30-41.

• Andrews, Rick L. (1994), “Forecasting Performance of Structural Time Series Models,” Journal of Business & Economic Statistics, 12 (January), 129-34.