The authors examine the small sample properties and forecasting performance of estimators In models using the Box-Cox transformation via a Monte Carlo experiment They develop a simple,estimator for the expected value of the untransformed dependent variable They show that the sign and magnitude...

The availability of efficiency estimation software – freely distributed via the internet and relatively easy to use – recently inflated the number of corresponding applications. The resulting efficiency estimates are used without a critical assessment with respect to the literature on...

The availability of efficiency estimation software freely distributed via the internet and relatively easy to use recently inflated the number of corresponding applications. The resulting efficiency estimates are often used without a critical assessment with respect to the literature on...

The paper brings a survey of flexible functional forms and summarizes the theoretical properties of several economic functional types (indirect utility, cost, expenditure function and the appropriate input demand systems). The notions of flexibility of the functional fonn (relating to the...

In this paper we estimate the flexibility properties and regular regions for the first three orders of the seminonparametric Asymptotically Ideal Model (AIM) under four different types of constant returns to scale production technologies. The AIM model's parameters are estimatedfrom a Monte...

McCausland (2004a) describes a new theory of random consumer demand. Theoretically consistent random demand can be represented by a "regular" "L-utility" function on the consumption set X. The present paper is about Bayesian inference for regular L-utility functions. We express prior and...

Empirical factor demand analysis is a topic in which a choice must be made among several competing non-nested functional forms. Each of the commonly used factor demand systems, such as Translog, Generalized Leontief, Quadratic, and Generalized McFadden, exhibits statistical inadequacy when...