1st Edition
Pricing Analytics Models and Advanced Quantitative Techniques for Product Pricing
By Walter R. Paczkowski
Copyright 2019
338 Pages
116 B/W Illustrations
by
Routledge
338 Pages
116 B/W Illustrations
by
Routledge
338 Pages
116 B/W Illustrations
by
Routledge
Also available as eBook on:
The theme of this book is simple. The price – the number someone puts on a product to help consumers decide to buy that product – comes from data. Specifically, itcomes from statistically modeling the data.
This book gives the reader the statistical modeling tools needed to get the number to put on a product. But statistical modeling is not done in a vacuum. Economic and statistical... Read more
List of Figures; List of Tables; 1 Preface; I Background; 1 Introduction; 2 Elasticities – Background and Concept; 3 Elasticities – Their Use in Pricing; II Stated Preference Models; 4 Conjoint Analysis; 5 Discrete Choice Models; 6 MaxDiff Models; 7 Other Stated Preference Methods; III Price Segmentation; 8 Price Segmentation: Basic Models; 9 Price Segmentation: Advanced Models; IV Big Data and Econometric Models; 10 Working with Big Data; 11 Big Data Pricing Models; 12 Big Data and Nonlinear Prices; References
Biography
Walter R. Paczkowski, Ph.D., worked at AT&T, AT&T Bell Labs, and AT&T Labs. He founded Data Analytics Corp., a statistical consulting company, in 2001. Dr. Paczkowski is also a part- time lecturer of economics at Rutgers University. He published Market Data Analysis Using JMP in 2016.
