Minding the money: A growing responsibility for informal carers

Managing the assets of older people is a common and potentially complex task of informal care with legal, financial, cultural, political and family dimensions. Older people are increasingly recognised -as having significant assets, but the family, the state, service providers and the market have competing interests in their use. Increased policy interest in self-provision and user-charges for services underline the importance of asset management in protecting the current and future health, care and accommodation choices of older people. Although 'minding the money' has generally been included as an informal care-giving task, there is limited recognition of either its growing importance and complexity or of care-givers' involvement. The focus of both policy and practice have been primarily on substitute decision-making and abuse. This paper reports an Australian national survey and semi-structured interviews that have explored the prevalence of non-professional involvement in asset management. The findings reveal the nature and extent of involvement, the tasks that informal carers take on, the management processes that they use, and that 'minding the money' is a common informal care task and mostly undertaken in the private sphere using some risky practices. Assisting informal care-givers with asset management and protecting older people from financial risks and abuse require various strategic policy and practice responses that extend beyond substitute decision-making legislation. Policies and programmes are required: to increase the awareness of the tasks, tensions and practices surrounding asset management; to improve the financial literacy of older people, their informal care-givers and service providers; to ensure access to information, advice and support services; and to develop better accountability practices.

Does the Triple P-Positive Parenting Program provide value for money?

Objective: The aim of the present study was to investigate the economic case for the implementation of the Triple P- Positive Parenting Program on a population basis in Queensland, Australia, in order to reduce the prevalence of conduct disorder in children. Method: Threshold analysis was undertaken together with a limited cost-effectiveness analysis. Results: The Triple P-Positive Parenting Program is a dominant intervention; that is, it costs less than the amount it saves, until the reduction in prevalence falls below 7% where net costs become positive. Conclusions: Triple P is likely to be a worthwhile use of limited health funds. The economic case is promising, but further research is required to confirm the study results.

Control, accounting and value-for-money implications of utility regulation:a literature review

This paper reviews and evaluates the literature concerning the privatisation and regulation of the utility industries in the UK. The economic theories behind and political reasons for the programme are considered to give the reader an appreciation of the environment from which these organisations were born and the implications for their continued existence. Once this has been established the paper then considers the role that accounting has played and will continue to play in these industries. This includes consideration of the technical questions which these new organisations are asking and also the role that accounting has in the organisational structure and culture. It draws as a conclusion that these recently privatised industries provide a unique and rich source for further accounting research.

Household sector money demand for the UK

We test for the existence of a long-run money demand relationship for the UK involving household-sector Divisia and simple sum monetary indexes for the period from 1977 to 2008. We construct our Divisia index using non-break-adjusted levels and break-adjusted flows following the Bank of England. We test for cointegration between the real Divisia and simple sum indexes, their corresponding opportunity cost measures, real income and real share prices. Our results support the existence of a long-run money demand relationship for both the Divisia and simple sum indexes.

Does money matter in inflation forecasting

This paper provides the most fully comprehensive evidence to date on whether or not monetary aggregates are valuable for forecasting US inflation in the early to mid 2000s. We explore a wide range of different definitions of money, including different methods of aggregation and different collections of included monetary assets. In our forecasting experiment we use two non-linear techniques, namely, recurrent neural networks and kernel recursive least squares regression - techniques that are new to macroeconomics. Recurrent neural networks operate with potentially unbounded input memory, while the kernel regression technique is a finite memory predictor. The two methodologies compete to find the best fitting US inflation forecasting models and are then compared to forecasts from a naive random walk model. The best models were non-linear autoregressive models based on kernel methods. Our findings do not provide much support for the usefulness of monetary aggregates in forecasting inflation.

Follow the money:the Audit Commission, Public Money and the Management of Public Services, 1983-2008, Duncan Campbell-Smith

Book review: Duncan Campbell-Smith. Allen Lane, 2008, 744 pp., £ 25 (hb), ISBN: 9781846140686

Econometrics of yield spreads in the money market:a note

The literature on bond markets and interest rates has focused largely on the term structure of interest rates, specifically, on the so-called expectations hypothesis. At the same time, little is known about the nature of the spread of the interest rates in the money market beyond the fact that such spreads are generally unstable. However, with the evolution of complex financial instruments, it has become imperative to identify the time series process that can help one accurately forecast such spreads into the future. This article explores the nature of the time series process underlying the spread between three-month and one-year US rates, and concludes that the movements in this spread over time is best captured by a GARCH(1,1) process. It also suggests the use of a relatively long term measure of interest rate volatility as an explanatory variable. This exercise has gained added importance in view of the revelation that GARCH based estimates of option prices consistently outperform the corresponding estimates based on the stylized Black-Scholes algorithm.