Storage changes in biscuits

The purpose of this research was to investigate the changes occurring in biscuits under domestic storage conditions. The experimental work involved the storage of manufactured biscuits under closed, open/light and open/dark conditions for appropriate periods of time. Moisture content, texture, colour and peroxide value were determined throughout the storage time. The results indicate that the moisture content of the samples increased under all storage conditions, with a softening of texture. Peroxide values increase with rapid acceleration towards the end of the storage period. Very little change was observed in the colour of the biscuits.     

Inferring Transactions from Financial Statements*

In this paper, we embed the double entry accounting structure in a simple belief revision (estimation) problem. We ask the following question: Presented with a set of financial statements (and priors), what is the reader's “best guess” of the underlying transactions that generated these statements? Two properties of accounting information facilitate a particularly simple closed form solution to this estimation problem. First, accounting information is the outcome of a linear aggregation process. Second, the aggregation rule is double entry.     

Common Divisors,Payout Persistence,and Return Predictability

In the finance and accounting literature, the use of a common divisor in the dependent and independent variables of ordinary least‐squares regressions is commonplace. What goes less recognized, however, is that their use induces spurious correlation between the regression variables and invalidates standard testing procedures. This paper analyses the common divisor problem by outlining analytical results concerning the expected R² and providing a simulation procedure that generates test statistics from which critical values can be drawn. To illustrate the procedure, we re‐investigate payout yield return predictability findings that have appeared in the literature and show that the results are spurious.     

The Relationship between Multiple Choice and Essay Response Questions in Assessing Economics Understanding

Efficiency considerations have led to increased use of multiple-choice questions to assess economics understanding at the secondary and tertiary levels throughout Australia. A multiple-choice test would suffice if multiple-choice and essay questions measure the same dimensions of knowledge, as suggested by least squares estimation of the relationship between these two forms of testing. We show a simultaneous equation bias inherent in least squares estimation of the relationship between these two forms. A two-stage least squares estimation reveals no relationship, implying that these testing forms measure different dimensions of knowledge. Thus, a single form of testing economics knowledge must be avoided.     

THE DETERMINANTS OF HAZARDOUS WASTE DISPOSAL CHOICE: AN EMPIRICAL ANALYSIS OF HALOGENATED SOLVENT WASTE SHIPMENTS

Disposal of hazardous waste is more complex than simply choosing the option with the lowest price: Legislation may hold a waste generator responsible for cleaning up a badly contaminated waste disposal site if the operator of that site goes bankrupt. This paper estimates conditional logit models of a generator's choice of waste management facility (TSDF) for shipments of halogenated solvent waste originating in California in 1995. The probability that a facility is selected as the destination of a shipment depends on the cost of shipping to and disposal at the facility, on existing contamination at the site, and on the track record of the facility, suggesting that generators do seem to balance current disposal costs with the likelihood of future liability. There is no evidence that generators prefer facilities owned by publicly traded firms, but when generators do choose TSDFs belonging to a publicly traded company, they prefer wealthier companies. (JEL Q21)     

An Error Component Logit Analysis of Corporate Bankruptcy and Insolvency Risk in Australia

This paper introduces a four-state failure model to depict a wider range of distress scenarios that public companies typically face in the real world. We use a multinomial error component logit model to analyse firm failure, a major advance on the modelling techniques used in previous research. The error component logit model, being an extension of the more familiar mixed logit model, relaxes several questionable statistical assumptions associated with standard models. Using a sample of Australian firms we provide an interpretative illustration of the error component logit model and contrast its behavioural performance with the standard logit model widely used in previous research.