Modeling Corner Solutions with Panel Data: Application to Industrial Energy Demand in France

Alain Bousquet, Raja Chakir and Norbert Ladoux ()

No C3-2, 10th International Conference on Panel Data, Berlin, July 5-6, 2002 from International Conferences on Panel Data

Abstract: This paper is providing an initial empirical application of Lee and Pitt's approach to the problem of corner solutions with panel data. This approach deals with corner solutions in a manner consistent with behavioral theory. Furthermore it allows the use of flexible form cost functions and general error structure. In this model energy demand, at industrial plant level, is the result of a discrete choice of type of energy to consume and a continuous choice to define the demand level. The econometric model is essentially an endogenous switching regime model which require the evaluation of multivariate probability integrals. We estimate the random effect model by maximum likelihood using a panel of industrial French plants. We verify that estimations predict globally well the model and we simulate the effects of prices variations and a CO2 tax on energy demand.

JEL-codes: C33 C34 D21 Q41 (search for similar items in EconPapers)
Date: 2002-03
New Economics Papers: this item is included in nep-ecm and nep-mic
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http://econpapers.repec.org/cpd/2002/89_Chakir.pdf (application/pdf)

Related works:
Journal Article: Modeling corner solutions with panel data: Application to the industrial energy demand in France (2004)
Working Paper: Modeling Corner Solutions with Panel Data: Application to the Industrial Energy Demand in France (2003)
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Persistent link: https://EconPapers.repec.org/RePEc:cpd:pd2002:c3-2

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