£121.24

Springer Studies in Consumer Demand - Econometric Methods Book

Name: Springer Studies in Consumer Demand - Econometric Methods Book
Brand: Springer
Price: 121.24 GBP
Availability: InStock

Econometrics

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Description

Expand your understanding of market analysis with Studies in Consumer Demand - Econometric Methods Applied to Market Data. Published by Springer, this collection features eight previously unpublished studies that provide deep insights into consumer behavior through rigorous econometric analysis. Each study serves as a standalone examination of demand for specific consumer products, making it a versatile resource for researchers and students alike. The book covers a wide range of statistical approaches. You will find everything from foundational simple regression techniques in the early chapters to more advanced modeling. The text moves into logit and multinomial logit models, explores nested logit models, and concludes with discrete/continuous modeling methods. By focusing on practical applications rather than just theoretical econometrics, this work provides a clear look at how these mathematical methods function when applied to real-world market data.

Key Features

Contains eight previously unpublished studies of consumer demand for unique research insights.

Provides standalone econometric analyses for well-defined consumer products in every chapter.

Covers a progression of methods from simple regression techniques to advanced modeling.

Includes detailed sections on logit and multinomial logit models for complex data sets.

Explores nested logit models and discrete/continuous modeling methods in later chapters.

Focuses on practical applications of econometric methods to real-world market data.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1461375932
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 02 November 2012
Listed Since: 03 March 2013

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Springer Studies in Consumer Demand - Econometric Methods Book

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