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Repeat Purchase amid Rapid Quality Improvement: Structural Estimation of Demand for Personal Computers

机译:在快速提高质量的过程中重复购买:对个人计算机需求的结构估计

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This paper estimates a structural model of demand for the personal computer (PC) by repeat purchasers. Taking advantage of a large data set on household-level PC purchases, the econometric model uses variation in PC holdings among PC owners to identify households' marginal values of quality improvements. The analysis only requires data on a cross-section of households along with observed PC offerings over time, and accounts for stock effects, forward-looking behavior, and large amounts of household heterogeneity. The estimates allow us to measure sensitivity to long-term and short-term price and technology changes, as well as consumer welfare changes from technological improvements. The results show a large variation in marginal values for PC quality across households, and that failing to account for forward-looking behavior results in biased estimates and a poorer fit to the data. Incorporating stock effects proves especially important because, for the data used here, the model's parameters are not only biased but also virtually impossible to pin down without them. The results also show that price elasticity is approximately 25% higher in the short term compared to the long term, and technology elasticity is approximately 35% higher in the short term compared to the long term. Furthermore, welfare measurements are significantly underestimated when using a model that does not account for forward-looking behavior. Finally, the model is extended to include first-time purchasers. The results show similar patterns, but should be interpreted with much caution owing to the likely presence of significant unobserved heterogeneity between new purchasers and repeat purchasers.
机译:本文估计了重复购买者对个人计算机(PC)的需求的结构模型。计量经济学模型利用了有关家庭级别PC购买的大量数据,利用PC所有者中PC持有量的变化来确定家庭质量改善的边际价值。该分析仅需要有关家庭横截面的数据以及随时间推移观察到的PC产品,并说明了股票效应,前瞻性行为和大量家庭异质性。这些估算值使我们能够测量对长期和短期价格以及技术变化以及技术改进带来的消费者福利变化的敏感性。结果表明,家庭中PC质量的边际值存在很大差异,并且未能考虑前瞻性行为会导致估算结果有偏差,并且数据拟合度较差。事实证明,合并库存效应尤其重要,因为对于此处使用的数据,该模型的参数不仅存在偏差,而且几乎没有条件就无法确定。结果还显示,与长期相比,价格弹性在短期内大约高25%,在短期内技术弹性比长期约高35%。此外,当使用不考虑前瞻性行为的模型时,福利测算被大大低估了。最后,该模型被扩展为包括首次购买者。结果显示出相似的模式,但由于新购买者和重复购买者之间可能存在明显的未观察到的异质性,因此应谨慎行事。

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