Stated preference methods using surveys to elicit willingness to pay have been shown to suffer from hypothetical bias and scope/scale bias. Hypothetical bias usually means that willingness to pay is exaggerated in the hypothetical scenario and scope/scale bias means that there is an...

Stated preference methods using surveys to elicit willingness to pay have been shown to suffer from hypothetical bias and scope/scale bias. Hypothetical bias usually means that willingness to pay is exaggerated in the hypothetical scenario and scope/scale bias means that there is an...

Donation payment mechanisms are well suited forsome contingent valuation studies. In aneffort to better understand the discrepancythat has been consistently found between actualand hypothetical donations, we investigate anapproach to estimating actual willingness todonate using contingent...

This study measures the efficiency of Indian states in raising health outcomes, using the stochastic frontier methodology for panel data for the period 2000-2009. [MSE WORKING PAPER 70/2012]. URL: [http://www.mse.ac.in/pub/working%20pape70%20-%20web(1).pdf].

The stochastic frontier analysis (Aigner et al., 1977, Meeusen and van de Broeck, 1977) is widely used to estimate individual efficiency scores. The basic idea lies in the introduction of an additive error term consisting of a noise and an inefficiency term. Most often the assumption of a...

Using a stochastic frontier model and a comprehensive dataset, we study factors that affect corporate efficiency in Europe. We find that (i) larger firms are less efficient than smaller firms, (ii) greater leverage contributes to corporate efficiency, and (iii) high competition is less...

The efficiency of 119 electric cooperatives in the Philippines from 1990 to 2002 is analyzed using a stochastic frontier model augmented with spatial-temporal terms, addressing the underestimation of technical efficiency usually encountered among maximum-likelihood based methods. The model is...

The stochastic frontier model with heterogeneous technical efficiency explained by exogenous variables is augmented with a sparse spatial autoregressive component for a cross-section data, and a spatial-temporal component for a panel data. An estimation procedure that takes advantage of the...