Constructing quality-adjusted price indices from revenue and cost data
DOI:
https://doi.org/10.1590/S0101-41612007000400003Keywords:
price index, innovation, discrete-choice demand modelsAbstract
This paper shows how to construct quality adjusted price indices without direct observation of product-level data (prices, quantities and characteristics). The technique used here allows for a welfare based measurement of price change using commonly available (at least for the manufacturing sector) plant-level data on revenue and cost. However, one has to be explicit about the evolution of the outside good quality and the structure of demand and supply. Using data on the Colombian beer industry and combining the methodologies originally proposed by Katayama, Lu and Tybout (2003), DeSouza (2006a) and Trajtenberg (1990) I am able to uncover the demand parameters and build welfare-based price indices for the 1977-1990 period.Downloads
References
Berry, S. Estimating Discrete-Choice Models of Product Differentiation. RAND
Journal of Economics, 25 (2), p. 242-262, 1994.
Berry, S.; Levinsohn, J.; Pakes, A. Automobile Prices in Market Equilibrium. Econometrica,
(4), p. 841-890, 1995.
DeSouza, S. Studying Differentiated Product Industries using Plant-Level Data.
Economics Bulletin, v. 12, n. 3, p.1-11, 2006a.
DeSouza, S. Combining Aggregate and Plant-Level Data to estimate a Discrete-
Choice Demand Model. Brazilian Review of Econometrics, v. 26, n.2, p. 213-234, 2006b.
Katayama, H.; Lu, S.; Tybout, J. Why Plant-Level Productivity Studies Are Often
misleading, and an Alternative Approach to Inference. NBER Working Paper N°.9617, 2003.
Lu, S.; Tybout, J. Import-Competition and Industrial Evolution: A Computational Experiment.
(mimeo). Penn State University, 2000.
McFadden, D. Econometric Models of Probabilistic Choice. In: Manski, C; McFadden,
D. (Eds). Structural Analysis of Discrete Data, 1981.
Muendler, M. The Database Pesquisa Industrial Anual 1986-2001: a Detective’s Report.
(mimeo). UC, San Diego, 2003.
Nevo, A. New Products, Quality Changes and Welfare Measures Computed from
Estimated Demand Systems. The Review of Economics and Statistics, 85(2), p.266-275, 2003.
Pakes, A.; McGuire, P. Computing Markov-Perfect Nash Equilibria: Numerical Implications of a Dynamic Differentiated Product Model. RAND Journal of Economics, 25(4), p. 555-589, 1994.
Roberts, M. Colombia, 1977-85: Producer Turnover, Margins, and Trade Exposure.
In: Roberts, M.; Tybout, J. (Eds.). Industrial Evolution in Developing Countries.
Oxford University Press, Oxford and New York, 1996.
Timmins, C. Estimating spatial differences in the Brazilian cost of living with household
location choices. Journal of Development Economics, 80, p. 59-83, 2006.
Trajtenberg, M. Economic Analysis of Product Innovation: The Case of CT Scanners.
Harvard University Press, Cambridge, MA, 1990.
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Copyright (c) 2007 Sergio Aquino DeSouza
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