A Reconsideration of Hedonic Price Indexes With An Application to PC's

By Ariel Pakes. 2003

436 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Marketing

View Paper: https://www.semanticscholar.org/paper/7b45ad89afba5bf44f733570b9de493178a918dc

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Citations in the corpus

Hedonic Imputation and the Price Index Problem: An Application to Housing (2008, neutral): “This has the major disadvantage that it does not allow characteristic shadow prices to change over time, a drawback that has led to criticism (Berndt, Griliches, and Rappaport 1995; Pakes 2003; Schultze andMackie 2002).”
Upstream Innovation and Product Variety in the U.S. Home PC Market (2014, positive): “In the second stage, 1Pakes [2003] cites an average annual attrition rate of 85 percent.”
The Difference Between Hedonic Imputation Indexes and Time Dummy Hedonic Indexes (2006, methodology): “Pakes (2003), using quarterly data for hedonic regressions for desktop PCs over 1995–1999, rejected just about any hypothesis on the constancy of the coefficients.”
Deriving the Pricing Power of Product Features by Mining Consumer Reviews (2011, background): “Pakes (2003) shows that if firms are engaging in Bertrand pricing, then markups of products over marginal costs are a complex function of the interplay between characteristics of competing products and the distribution of consumer preferences.”
The Economic Effects of Technological Progress: Evidence from the Banking Industry (2003, background): “Research also suggested that improvements in quality associated with technological progress may have resulted in price indices that significantly overstate inflation (e.g., Pakes 2002).”
Dynamics of Consumer Demand for New Durable Goods (2012, neutral): “See Pakes ð2003Þ or, more generally, Bureau of Labor Statistics ð2007, chap.”
Lost in Transit: Product Replacement Bias and Pricing to Market (2012, positive): “The ideal solution to this problem is to use hedonic methods to estimate the quality change associated with product replacements (Court, 1939; Griliches, 1961; Pakes, 2003).”
The Pure Characteristics Demand Model (2007, neutral): “Moreover, at least according to the Boskin Commission Report (1996) , failure to adequately measure the gains from new products is the major source of bias in the Consumer Price Index (see also Pakes (2003)).”