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

Steven Berry (), James Levinsohn and Ariel Pakes

No 6481, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: In this paper, we exploit new sources of cross-sectional data to estimate a detailed product-level demand system for new passenger vehicles. We use four data sources: on the characteristics of products, on the attributes of the U.S. population of households, on the match between the first and second vehicle choices of the household, and on the match between households attributes and first choice vehicles. We show that these data solve some, but not all, of the traditional problems in estimating differentiated products demand systems and indicate which data sources are important for which problem. The data is rich enough to reveal a rather complex substitution pattern, requiring a quite general modeling framework. Together the data and model make a detailed analysis of industry demand possible.

JEL-codes: D4 L9 (search for similar items in EconPapers)
Date: 1998-03
Note: IO
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (38)

Published as Berry, Steven, James Levinsohn and Ariel Pakes. "Differentiated Products Demand Systems From A Combination Of Micro And Macro Data: The New Car Market," Journal of Political Economy, 2004, v112(1,Feb), 68-105.

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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 (2001)
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