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Modeling corner solutions with panel data: Application to the industrial energy demand in France

机译:使用面板数据对边角解决方案建模:在法国工业能源需求中的应用

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摘要

This paper provides an empirical application of Lee and Pitt’s (1986) approach to the problem of corner solutions in the case of panel data. This model deals with corner solutions in a manner consistent with the firm behavior theory while controlling for unobserved heterogeneity. In this model, energy demand at industrial plant level is the result of a discrete choice of the type of the energy to be consumed and a continuous choice that defines the level of demand. The econometric model is, essentially, an endogenous switching regime model which requires the evaluation of multivariate probability integrals. We estimate the random effect model by maximum likelihood using a panel of industrial French plants from the paper and pulp industry. We calculate empirical price elasticities of energy demand from the model. We also study the effects on energy demand of an environmental policy aimed at reducing CO 2 emissions. Copyright Springer-Verlag 2004
机译:本文提供了Lee和Pitt(1986)方法在面板数据情况下对边角解问题的经验应用。该模型以与企业行为理论相一致的方式处理边角解,同时控制未观察到的异质性。在此模型中,工业工厂级别的能源需求是离散选择要消耗的能源类型和确定需求级别的连续选择的结果。计量经济学模型本质上是一个内生转换模型,它需要对多元概率积分进行评估。我们使用来自造纸和纸浆工业的法国工业工厂小组,以最大可能性估算随机效应模型。我们从模型中计算出能源需求的经验价格弹性。我们还研究了旨在减少CO 2排放的环境政策对能源需求的影响。版权所有Springer-Verlag 2004

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