A Monte Carlo study of autoregressive integrated moving average processes

Six of the simpler ARMA type models are examined with respect to properties of a variety of proposed estimators of unknown parameters. The findings suggest that if only one estimation method were available to a researcher the choice should probably be maximum likelihood. Stationarity- and invertibility-restricted estimation would appear appropriate when parameters are thought to be within 5 percent of constraint boundaries.     

Firm Growth and Supply Chain Partnerships: An Empirical Analysis of U.K. SME Subcontractors

This paper examines the performance of a sample of 211 U.K.subcontractors to evaluate whether differences in how they manage their supply chain relationships are associated with differences in (sales and employment)growth rates over two consecutive 3 year periods from 1993 to 1999.We identified 34 firms that had close partnership relationships with members of their supply chain. Our empirical findings indicate that firms with inter-firm partnership arrangements with members of their supply chain experienced significantly higher growth rates. These results suggest that inter-firm partnerships may facilitate more rapid and sustained SME growth,though further research is required to determine the role played by partnerships and the extent to which this may vary to reflect differing owner-manager motivations and growth opportunities.     

ACCOUNTING FOR EMPLOYEE ENTITLEMENTS*

This paper considers the problem of accounting for employee entitlements. Accrued entitlements to annual leave, sick leave and long service leave are evaluated by reference to the basic characteristics of an accounting liability and a case is presented for liability recognition in each instance. An empirical survey undertaken by the authors shows current practice in this area and indicates the need for improved financial reporting.     

On restricted estimation in linear models

Efficient estimation of models under linear restrictions on parameters has received little attention. We present a unified approach which takes account of both full rank and less than full rank design and constraint matrices. The procedure is numerically fast, accurate, and space efficient. An example is included.     

Introducing ‘Journeys Home’

Homelessness, despite being a major social policy issue in Australia, is an area that is not well served by data. Most sorely lacking is any large‐scale panel study that follows a broad sample of persons with recent experience of homelessness and unstable housing histories. In 2010, the Australian Government set about rectifying this deficiency when it commissioned the Melbourne Institute to undertake a new panel study, now known as ‘Journeys Home’. This study draws its sample from the population of Centrelink income‐support recipients, targeting persons identified in the administrative data as having recent experience of homelessness, as well as others with similar characteristics who may be vulnerable to housing difficulties in the future. This article summarises the design of this new study and reports on fieldwork outcomes from the first two waves of data collection.     

Best-performing US mutual fund families from 1993 to 2008: Evidence from a novel two-stage DEA model for efficiency decomposition

When analyzing relative performance, especially at the institutional level, the traditional data envelopment analysis (DEA) models do not recognize vastly different and important activities as separate functions and therefore cannot identify which function may be the main source of inefficiency. We propose a novel two-stage DEA model that decomposes the overall efficiency of a decision-making unit into two components and demonstrate its applicability by assessing the relative performance of 66 large mutual fund families in the US over the period 1993–2008. By decomposing the overall efficiency into operational management efficiency and portfolio management efficiency components, we reveal the best performers, the families that deteriorated in performance, and those that improved in their performance over the sample period. We also make frontier projections for poorly performing mutual fund families and highlight how the portfolio managers have managed their funds relative to the others during financial crisis periods.     

A synthesis of homelessness in South Africa: A rapid critical appraisal

Homelessness in South Africa requires collaborative research. Social, political, cultural and economic factors that cause homelessness must be considered to develop a common definition and understanding of homelessness. South Africa’s social complexity and diversity make it challenging to construct available results into one conceptual framework, and this in turn complicates national policy implementation and role allocation. By means of a rapid critical appraisal of literature on homelessness in South Africa, researchers provide evidence to direct and structure contextual research pertaining to homelessness. Four themes transpire: conceptualisation; demography; roles and responsibilities of key stakeholders; and strategic policy and research issues. Researchers caution that the findings are not generalisable, because of the rapid nature of the appraisal and possible selection bias of the literature. Measures of validity were used to ensure that the study accomplished its purpose through the key results and to ensure that the results are a true reflection of available evidence.