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A Dynamic Model of Consumer Replacement Cycles in the PC Processor Industry
by
Gordon, Brett R
in
Aggregate data
/ Analysis
/ Central processing units
/ Computer equipment
/ Computer industry
/ Computer software industry
/ Computer upgrading
/ Consumer advertising
/ Consumer choice
/ Consumer demand
/ Consumer education
/ Consumer prices
/ Consumers
/ CPU
/ CPUs
/ Data quality
/ Datasets
/ Demand
/ Durable goods
/ Dynamic modeling
/ Dynamic models
/ Dynamic programming
/ Empirical research
/ Generalized method of moments
/ High technology
/ Industrial cycles
/ Industrial marketing
/ innovation
/ Innovations
/ Management science
/ Market penetration
/ Marketing
/ Markets
/ Obsolescence
/ Occupational roles
/ Ownership
/ PC processor
/ Prices
/ Pricing
/ Product defects and recalls
/ Product development
/ Product innovation
/ Product introduction
/ Purchasing
/ replacement
/ Sales
/ structural estimation
/ Studies
/ Technological innovation
/ technology products
/ U.S.A
/ upgrades
2009
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A Dynamic Model of Consumer Replacement Cycles in the PC Processor Industry
by
Gordon, Brett R
in
Aggregate data
/ Analysis
/ Central processing units
/ Computer equipment
/ Computer industry
/ Computer software industry
/ Computer upgrading
/ Consumer advertising
/ Consumer choice
/ Consumer demand
/ Consumer education
/ Consumer prices
/ Consumers
/ CPU
/ CPUs
/ Data quality
/ Datasets
/ Demand
/ Durable goods
/ Dynamic modeling
/ Dynamic models
/ Dynamic programming
/ Empirical research
/ Generalized method of moments
/ High technology
/ Industrial cycles
/ Industrial marketing
/ innovation
/ Innovations
/ Management science
/ Market penetration
/ Marketing
/ Markets
/ Obsolescence
/ Occupational roles
/ Ownership
/ PC processor
/ Prices
/ Pricing
/ Product defects and recalls
/ Product development
/ Product innovation
/ Product introduction
/ Purchasing
/ replacement
/ Sales
/ structural estimation
/ Studies
/ Technological innovation
/ technology products
/ U.S.A
/ upgrades
2009
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Do you wish to request the book?
A Dynamic Model of Consumer Replacement Cycles in the PC Processor Industry
by
Gordon, Brett R
in
Aggregate data
/ Analysis
/ Central processing units
/ Computer equipment
/ Computer industry
/ Computer software industry
/ Computer upgrading
/ Consumer advertising
/ Consumer choice
/ Consumer demand
/ Consumer education
/ Consumer prices
/ Consumers
/ CPU
/ CPUs
/ Data quality
/ Datasets
/ Demand
/ Durable goods
/ Dynamic modeling
/ Dynamic models
/ Dynamic programming
/ Empirical research
/ Generalized method of moments
/ High technology
/ Industrial cycles
/ Industrial marketing
/ innovation
/ Innovations
/ Management science
/ Market penetration
/ Marketing
/ Markets
/ Obsolescence
/ Occupational roles
/ Ownership
/ PC processor
/ Prices
/ Pricing
/ Product defects and recalls
/ Product development
/ Product innovation
/ Product introduction
/ Purchasing
/ replacement
/ Sales
/ structural estimation
/ Studies
/ Technological innovation
/ technology products
/ U.S.A
/ upgrades
2009
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A Dynamic Model of Consumer Replacement Cycles in the PC Processor Industry
Journal Article
A Dynamic Model of Consumer Replacement Cycles in the PC Processor Industry
2009
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Overview
As high-tech markets mature, replacement purchases inevitably become the dominant proportion of sales. Despite the clear importance of product replacement, little empirical work examines the separate roles of adoption and replacement. A consumer's replacement decision is dynamic and driven by product obsolescence because these markets frequently undergo rapid improvements in quality and falling prices. The goal of this paper is to construct a model of consumer product replacement and to investigate the implications of replacement cycles for firms.
To this end, I develop and estimate a dynamic model of consumer demand that explicitly accounts for the replacement decision when consumers are uncertain about future price and quality. Using a unique data set from the PC processor industry, I show how to combine aggregate data on sales and product ownership to infer replacement behavior. The results reveal substantial variation in replacement behavior over time, and this heterogeneity provides an opportunity for managers to tailor their product introduction and pricing strategies to target the consumers of a particular segment that are most likely to replace in the near future.
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