2nd Edition
Pricing Analytics Models and Advanced Quantitative Techniques for Product Pricing
Acknowledgements. Preface. Part I Background. 1 Introduction. 2 Elasticities – Background and Concept. 3 Elasticities – Their Use in Pricing. Part II Stated Preference Models. 4 Conjoint Analysis. 5 Discrete Choice Models. 6 MaxDiff Models. 7 Other Stated Preference Methods. Part III Price Segmentation. 8 Price Segmentation: Basic Models. 9 Price Segmentation: Advanced Models. Part IV Big Data and Econometric Models. 10 Working with Big Data. 11 Big Data Pricing Models. 12 Big Data and Nonlinear Prices. Part V Simulations and Pricing Analytics. 13 Introduction to Simulations and Pricing Analytics. 14 Stochastic Simulation Technicalities. 15 Pricing Analytics Simulations: Case Studies. Part VI Specialized Topics. 16 Tariffs and Pricing Analytics. 17 AI and Pricing Analytics. Part VII References. Part VIII Biography.
Biography
Walter R. Paczkowski is the founder of Data Analytics Corp., a statistical and data modeling consultancy, and a former lecturer in the Department of Economics at Rutgers University. He holds a Ph.D. in Economics from Texas A&M University, and has published several books on aspects of data science including Pricing Analytics (2018) and Deep Analytics for New Product Development (2020).
