£33.14

Routledge Pricing Analytics: Models and Advanced Quantitative Techniques for Product Pricing

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£35.90 £32.78 £33.46 £34.14 £34.82 £35.50 £36.18 25 January 2026 28 January 2026 31 January 2026 03 February 2026 06 February 2026

Price Distribution

Price distribution over 13 days • 3 price levels

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Current Price
6 days · current 2 days 5 days 0 2 3 5 6 £33 £34 £36 Days at Price

Price Analysis

Most common price: £33 (6 days, 46.2%)

Price range: £33 - £36

Price levels: 3 different prices over 13 days

Description

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 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. 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.

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
26 June 2018
Listed Since
10 March 2018

Barcode

No barcode data available

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