| Document Type
|
:
|
BL
|
| Record Number
|
:
|
841112
|
| Main Entry
|
:
|
Paczkowski, Walter R.
|
| Title & Author
|
:
|
Pricing analytics : : models and advanced quantitative techniques for product pricing /\ Walter R. Paczkowski
|
| Publication Statement
|
:
|
London :: Routledge,, 2019
|
|
|
:
|
, ©2019
|
| Page. NO
|
:
|
1 online resource (xix, 317 pages) :: illustrations
|
| ISBN
|
:
|
1315178346
|
|
|
:
|
: 1351713078
|
|
|
:
|
: 1351713086
|
|
|
:
|
: 1351713094
|
|
|
:
|
: 9781315178349
|
|
|
:
|
: 9781351713078
|
|
|
:
|
: 9781351713085
|
|
|
:
|
: 9781351713092
|
|
|
:
|
1138036757
|
|
|
:
|
1138623938
|
|
|
:
|
9781138036758
|
|
|
:
|
9781138623934
|
| Bibliographies/Indexes
|
:
|
Includes bibliographical references (pages [304]-311 and index.
|
| Contents
|
:
|
Introduction -- Elasticities - background and concept -- Elasticities - their use in pricing -- Conjoint analysis -- Discrete choice models -- MaxDiff models -- Other stated preference methods -- Price segmentation : basic models -- Price segmentation : advanced models -- Working with Big Data -- Big Data pricing models -- Big Data and nonlinear prices.
|
| Abstract
|
:
|
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, it comes from statistically modeling the data. The economic theory component is sufficient to provide understanding of the basic principles for pricing, especially about elasticities, which measure the effects of pricing on key business metrics. Elasticity estimation is the goal of statistical modeling, so attention is paid to the concept and implications of elasticities. The statistical modeling component is advanced and detailed covering choice (conjoint, discrete choice, MaxDiff) and sales data modeling. Experimental design principles, model estimation approaches, and analysis methods are discussed and developed for choice models. Regression fundamentals have been developed for sales model specification and estimation and expanded for latent class analysis. 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 principles and theory conjointly provide the background and framework for the models. Therefore, this book emphasizes two interlocking components of modeling: economic theory and statistical principles.
|
| Subject
|
:
|
Pricing.
|
| Subject
|
:
|
Quantitative research-- Computer programs.
|
| Subject
|
:
|
BUSINESS ECONOMICS-- Industrial Management.
|
| Subject
|
:
|
BUSINESS ECONOMICS-- Management Science.
|
| Subject
|
:
|
BUSINESS ECONOMICS-- Management.
|
| Subject
|
:
|
BUSINESS ECONOMICS-- Organizational Behavior.
|
| Subject
|
:
|
Pricing.
|
| Dewey Classification
|
:
|
658.8/16
|
| LC Classification
|
:
|
HF5416.5.P33 2019eb
|