Econometric Estimation of PCAIDS Models
AbstractThis paper presents a version of the proportionally calibrated almost ideal demand system (PCAIDS) model, useful for merger simulations, which can be econometrically estimated using price data for two firms in a market. The model is then applied to a database of the Argentine gasoline market, and its results are compared to the ones obtained with other alternative specifications.
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Bibliographic InfoPaper provided by Universidad del CEMA in its series CEMA Working Papers: Serie Documentos de Trabajo. with number 276.
Date of creation: Nov 2004
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PCAIDS; demand estimation; merger simulations; Argentine gasoline market;
Other versions of this item:
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels
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- Roy J. Epstein & Dniel L. Rubinfeld, 2004. "Merger Simulation with Brand-Level Margin: Extending PCAIDS with Nests," Industrial Organization 0401003, EconWPA.
- Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June.
- Roy J. Epstein & Daniel L. Rubinfeld, 2002. "Merger Simulation: A Simplified Approach with New Applications," Industrial Organization 0201002, EconWPA.
- Epstein Roy J. & Rubinfeld Daniel L., 2004. "Merger Simulation with Brand-Level Margin Data: Extending PCAIDS with Nests," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 4(1), pages 1-28, March.
- Jerry HAUSMAN & Gregory LEONARD & J. Douglas ZONA, 1994. "Competitive Analysis with Differentiated Products," Annales d'Economie et de Statistique, ENSAE, issue 34, pages 159-180.
- Oliver Budzinski & Isabel Ruhmer, 2009.
"Merger Simulation in Competition Policy: A Survey,"
82/09, University of Southern Denmark, Department of Environmental and Business Economics.
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