Bayesian Estimation Of Demand Functions Under Block Rate Pricing
Source: University of Tokyo
This paper proposes a Bayesian estimation method of demand functions under block rate pricing, focusing on increasing one, where the authors first considered the separability condition explicitly which has been ignored in the previous literature. Under this pricing structure, price changes when consumption exceeds a certain threshold and the consumer faces a utility maximization problem subject to a piecewise-linear budget constraint. Solving this maximization problem leads to a statistical model that includes many inequalities, such as the so-called separability condition. Because of them, it is virtually impractical to numerically maximize the likelihood function.