快速质量改进中的重复购买:个人电脑需求的结构估计

Jeffrey T. Prince
{"title":"快速质量改进中的重复购买:个人电脑需求的结构估计","authors":"Jeffrey T. Prince","doi":"10.2139/ssrn.917865","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":412480,"journal":{"name":"Indiana University Kelley School of Business Research Paper Series","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"36","resultStr":"{\"title\":\"Repeat Purchase Amid Rapid Quality Improvement: Structural Estimation of Demand for Personal Computers\",\"authors\":\"Jeffrey T. Prince\",\"doi\":\"10.2139/ssrn.917865\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":412480,\"journal\":{\"name\":\"Indiana University Kelley School of Business Research Paper Series\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"36\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indiana University Kelley School of Business Research Paper Series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.917865\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indiana University Kelley School of Business Research Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.917865","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 36

摘要

本文估计了重复购买者对个人电脑(PC)需求的结构模型。利用家庭PC购买的大量数据集,计量经济模型使用PC所有者之间PC持有量的变化来确定家庭质量改进的边际价值。该分析只需要家庭横截面的数据,以及观察到的PC产品随时间的变化,并考虑到股票效应、前瞻性行为和大量家庭异质性。这些估计使我们能够衡量对长期和短期价格和技术变化的敏感性,以及技术改进带来的消费者福利变化。结果显示,不同家庭的PC质量边际值差异很大,未能考虑前瞻性行为导致有偏见的估计和较差的数据拟合。考虑股票效应尤其重要,因为对于这里使用的数据,模型的参数不仅有偏差,而且没有它们几乎不可能确定。结果还表明,价格弹性在短期内比长期高约25%,技术弹性在短期内比长期高约35%。此外,当使用不考虑前瞻性行为的模型时,福利测量被大大低估了。最后,将模型扩展到首次购房者。结果显示出类似的模式,但应该非常谨慎地解释,因为新购买者和重复购买者之间可能存在显著的未观察到的异质性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Repeat Purchase Amid Rapid Quality Improvement: Structural Estimation of Demand for Personal Computers
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信