Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market

Steven Berry (), James Levinsohn and Ariel Pakes

No 1337, Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University

Abstract: In this paper we provide an algorithm for estimating characteristic based demand models from alternative data sources, and apply it to new data on the market for passenger vehicles. We find that, provided care is taken in constructing the demand system and rich enough data are available, the characteristic based model can both rationalize existing results and provide realistic out of sample predictions.

Keywords: Product Differentiation; Autos; Demand Estimation (search for similar items in EconPapers)
JEL-codes: D43 (search for similar items in EconPapers)
Pages: 35 pages
Date: 2001-11
New Economics Papers: this item is included in nep-ent and nep-net
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Citations: View citations in EconPapers (30)

Published in Journal of Political Economy (2004), 112(1): 68-104

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Related works:
Journal Article: Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market (2004)
Working Paper: Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market (2004)
Working Paper: Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market (1998)
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