We use the stochastic frontier approach to estimate the impact of firm characteristics on investment decisions of Indian firms during the 1997-2006 period. The use of the stochastic frontier approach allows us to define the (unobserved) optimum investment that is consistent with a firm's...

This paper analyzes the evolution of Swiss farm productivity during the implementation of environmental policy reforms, when subsidization of farms became dependent on compliance with environmental regulations. We employ a production model formulation with technology parameters defined as the...

This paper considers Bayesian estimation strategies for first-price auctions within the independent private value paradigm. We develop an ‘optimization’ error approach that allows for estimation of values assuming that observed bids differ from optimal bids. We further augment this approach...

We propose the use of stochastic frontier approach to modelling financial constraints of firms. The main advantage of the stochastic frontier approach over the stylised approaches that use pooled OLS or fixed effects panel regression models is that we can not only decide whether or not the...

In this paper we account for observed management practice in the estimation of aproduction function. In our model management practice is observable and we allow it toaffect output directly (neutral shift) and indirectly by affecting input productivity. Thisformulation gives us a semiparametric...

We introduce the concept “excess capital capacity” and employ a stochastic input requirement frontier to measure excess capital capacity in agricultural production. We also propose a two-step estimation method that allows endogenous regressors in stochastic frontier models. The first step...

This paper proposes a semiparametric smooth-coefficient (SPSC) stochastic production frontier model where regression coefficients are unknown smooth functions of environmental factors (Z). Technical inefficiency is specified in the form of a parametric scaling function which also depends on the...

This paper addresses specification and estimation of multiple-outputs and multiple-inputs production technology in the presence of technical inefficiency. The primary focus is on the primal formulations. Several competing specifications such as production function, input (output) distance...

This monograph reviews the econometric literature on the estimation of stochastic frontiers and technical efficiency. Special attention is devoted to current research.