Some Recent Developments in Efficiency Measurement in Stochastic Frontier Models

Some Recent Developments in Efficiency Measurement in Stochastic Frontier Models

This paper addresses some of the recent developments in efficiency measurement using stochastic frontier SF models in some selected areas. The following three issues are discussed in details. First, estimation of SF models with input-oriented technical efficiency. Second, estimation of latent class models to address technological heterogeneity as well as heterogeneity in economic behavior. Fina...

Some recent developments in stochastic volatility modelling

This paper reviews and puts in context some of our recent work on stochastic volatility modelling for financial economics. Here our main focus is on: (i) the relationship between subordination and stochastic volatility, (ii) OU based volatility models, (iii) exact option pricing, (iv) realised power variation and realised variance, (v) building multivariate models.

Efficiency Measurement with the Weibull Stochastic Frontier*

In this paper we consider the Weibull distribution as a model for technical efficiency. The distribution has a shape and scale parameter like the gamma distribution and can be a reasonable competitor in practice. The techniques are illustrated using artificial data as well as a panel of Spanish dairy farms.

Data Models : Some Recent Developments *

3231

Comparative Analysis of Stochastic Frontier Partially non-parametric and Stochastic Frontier Parametric Methods Case Study: Measuring Cost Efficiency in Wheat Production in Iran