SYSTEMATIC INFLUENCES ON TEACHING EVALUATIONS: THE CASE FOR CAUTION*

In this paper, we examine eight years of Quality of Teaching (QOT) responses from an Economics Department in an Australian University. This is done to determine what factors, besides the instructor, have an impact on the raw average student evaluation scores. Most of the previous research on student ratings has been conducted in the US. One significant difference between US and Australian tertiary education is that, on average, the number of foreign undergraduate students in Australia is ten times the number in US institutions. We find that cultural background significantly affects student evaluations. Other factors that have an influence on the average QOT score include: year level; enrolment size; the quantitative nature of the subject; the gender of the student; fee‐paying status by gender; course of study; the differences between the course mark and previous marks; the quality of workbooks; the quality of textbooks; and the QOT score relative to those in other subjects taught at the same time. In addition, average QOT scores for instructors who have taught in a mix of subjects are similar to those based on scores adjusted to account for subject and student characteristics.     

Equity Issues and Stock Price Dynamics

This paper presents an information-theoretic, infinite horizon model of the equity issue decision. The model predicts that (a) equity issues on average are preceded by an abnormal positive return on the stock, although for some firms the issue is preceded by a loss; (b) equity issues on average are preceded by an abnormal rise in the market; and (c) the stock price drops at the announcement of an issue. The model provides a measure of the welfare cost of asymmetric information; the welfare loss may be small even if the price drop at issue announcement is large.     

Forecasting Australian Marriage Rates*

The paper discusses the problem of modelling demographic variables for the purpose of forecasting. Two empirical model selection procedures are applied to suggest final form forecasting equations for Australian marriage rates. The suggested models are then assessed by comparing their post-sample forecast performance with that of univariate ARMA-type models of marriage rates which are regarded as approximations to marriage rate final equation models. In this instance the ARM A models are preferred for forecasting purposes. The properties of the ARM A model forecasts are then examined and the modelling strategy is contrasted with the regression method used by Withers.