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How do households choose quality and time to replacement for a rapidly improving durable good?

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  • Prince, Jeffrey T.

Abstract

Many durable goods, particularly in the high technology sector of the economy, experience rapid quality improvement. As a result, replacement is typically due to obsolescence rather than breakdown, and replacement cycles are relatively short. When these goods are vertically differentiated, consumers must make two important, inter-related choices upon making a purchase: what quality level to buy, and how long to wait between purchases. In this paper, we analyze how these two decisions relate to underlying preferences and to each other both theoretically and empirically. We demonstrate how a single, tenuous assumption in a commonly used theoretical model can drive the relationships we would predict when we take this model to the data. This highlights the necessity of a more direct empirical analysis. In our empirics, we show that quality choice and replacement cycle length (RCL) are generally positively correlated. We also find evidence of non-monotonic relationships between quality choice and marginal utility of quality and RCL choice and marginal utility of money. That is, households who value quality more don't always buy higher-quality PCs, and households who value money less don't always buy more frequently, ceteris paribus. Our results provide new insights into the nature of durable goods demand, the proper characterization of markets and market segments, and welfare measures.

Suggested Citation

  • Prince, Jeffrey T., 2009. "How do households choose quality and time to replacement for a rapidly improving durable good?," International Journal of Industrial Organization, Elsevier, vol. 27(2), pages 302-311, March.
  • Handle: RePEc:eee:indorg:v:27:y:2009:i:2:p:302-311
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    References listed on IDEAS

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    Cited by:

    1. Robert W. Fairlie & Rebecca A. London, 2012. "The Effects of Home Computers on Educational Outcomes: Evidence from a Field Experiment with Community College Students," Economic Journal, Royal Economic Society, vol. 122(561), pages 727-753, June.
    2. Ken-Ichi Akao, 2017. "An economic analysis of the “Home Appliance Eco-Point System” in Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(3), pages 483-501, July.
    3. Perez-Aranda, Javier & González Robles, Eva & Urbistondo, Pilar, 2017. "The Influence of Membership Groups on Selecting Accommodations: The Case of the Residential Tourist," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 5(2), pages 59-72.
    4. Riikonen, Antti & Smura, Timo & Töyli, Juuso, 2016. "The effects of price, popularity, and technological sophistication on mobile handset replacement and unit lifetime," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 313-323.
    5. Huang, Jian & Leng, Mingming & Liang, Liping & Luo, Chunlin, 2014. "Qualifying for a government’s scrappage program to stimulate consumers’ trade-in transactions? Analysis of an automobile supply chain involving a manufacturer and a retailer," European Journal of Operational Research, Elsevier, vol. 239(2), pages 363-376.
    6. Joseph Guiltinan, 2010. "Consumer durables replacement decision-making: An overview and research agenda," Marketing Letters, Springer, vol. 21(2), pages 163-174, June.
    7. Fairlie, Robert W., 2012. "The effects of home access to technology on computer skills: Evidence from a field experiment," Information Economics and Policy, Elsevier, vol. 24(3), pages 243-253.

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