A finite sample improvement of the fixed effects estimator : applied to technical infficiency

The FE ('fixed effects') estimator of technical inefficiency performs poorly when N ('number of firms') is large and T ('number of time observations') is small. We propose estimators of both the firm effects and the inefficiencies, which have small sample gains compared to the traditional FE estimator. The estimators are based on nonparametric kernel regression of unordered variables, which includes the FE estimator as a special case. In terms of global conditional MSE ('mean square error') criterions, it is proved that there are kernel estimators which are efficient to the FE estimators of firm effects and inefficiencies, in finite samples. Monte Carlo simulations supports our theoretical findings and in an empirical example it is shown how the traditional FE estimator and the proposed kernel FE estimator lead to very different conclusions about inefficiency of Indonesian rice farmers.

At Sunny Bay: building students` repertoire of literacy practices through process drama

This collection of resources provides classroom examples and case studies, offers a platform of ideas for teachers to investigate new ways of building the literacy development of their students.

Repositioning drama to centre stage: drama, English, text and literacy

A version of this article was first presented at the Drama Australia Conference, Fremantle, July 2002. It draws upon Freebody and Luke's four resources literacy framework, where they describe four kinds of literacy  practices. It shows how this model is used within the literacy community and argues that this model is useful to describe the contribution that drama can make to literacy development. Freebody and Luke's model is used and  promoted throughout Australia and the author argues that it is politically astute for drama teachers to reclaim and promote their links to the English/Literacy curriculum.

Equal to life: empowerment through drama and research in a drama group for people with disabilities

This article draws from findings of qualitative research of a community- based drama and theatre group for adults with intellectual disabilities. The article considers constraints experienced by people with disabilities and explores the ways that experiences in drama and theatre can be particularly empowering for them. The article also reveals the ways that participants can increasingly become collaborators in the research and are empowered through the research process and through the opportunity to have their voices heard.

A tale of action, suspense and drama : Village Roadshow’s buy-back scheme

The experience of Village Roadshow, in its two failed attempts to have a share buy-back scheme approved by the Supreme Court, sounds a warning to companies and their legal advisers about the pitfalls in presentation of such schemes to shareholders.

Neutrosophic information fusion applied to the options market

In this paper we basically make two propositions - firstly a non-linear process that is primarily fuelled by mass cognitive dissonance could generate systematic deviations between the theoretical and market prices of long-term options, and secondly such deviations are best reconciled in terms of neutrosophic rather than ruled-based reasoning, especially in the context of the users of automated trading systems designed to generate trading signals based on analysis of information  from conflicting sources.

The relationship between national income and health : a new measure applied to Bangkok

The importance of good health of a population is crucial when determining social welfare. A new health-adjusted national income indicator that explores the relationships between economic growth, health and social welfare in Bangkok, Thailand from 1975 to 1999 is applied. This new approach to social welfare analysis is based on normative social choice theory, cost–benefit and systems analysis and is called (new)3 welfare economics. This paper argues that traditional measures of welfare, such as national income, fail to reflect accurately the impact of health on social welfare.

The reduction subset based on rough sets applied to texture classification

The rough set is a new mathematical approach to imprecision, vagueness and uncertainty. The concept of reduction of the decision table based on the rough sets is very useful for feature selection. The paper describes an application of rough sets method to feature selection and reduction in texture images recognition. The methods applied include continuous data discretization based on Fuzzy c-means and, and rough set method for feature selection and reduction. The trees extractions in the aerial images were applied. The experiments show that the methods presented in this paper are practical and effective.