Economics - Research Publications

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End date: 2007 × Start date: 2000 × Type: Journal Article ×

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    Discrete hours labour supply modelling: Specification, estimation and simulation
    CREEDY, J ; KALB, GR (John Wiley & Sons, 2005)
    The assumption behind discrete hours labour supply modelling is that utility-maximising individuals choose from a relatively small number of hours levels, rather than being able to vary hours worked continuously. Such models are becoming widely used in view of their substantial advantages, compared with a continuous hours approach, when estimating and their role in tax policy microsimulation. This paper provides an introduction to the basic analytics of discrete hours labour supply modelling. Special attention is given to model specification, maximum likelihood estimation and microsimulation of tax reforms. The analysis is at each stage illustrated by the use of numerical examples. At the end, an empirical example of a hypothetical policy change to the social security system is given to illustrate the role of discrete hours microsimulation in the analysis of tax and transfer policy changes.
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    Some stability results for Markovian economic semigroups
    MIRMAN, LM ; REFFETT, KR ; STACHURSKI, J (Blackwell, 2005)
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    The identification and measurement of speculative risk
    FITZHERBERT, RM (The Institute of Actuaries of Australia, 2003)
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    Systematic influences on teaching evaluations: The case for caution
    Davies, M ; Hirschberg, J ; Lye, J ; Johnston, C ; Mcdonald, I (WILEY, 2007-03)
    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.
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    The Distribution of the time to Ruin in the Classical Risk Model
    Dickson, DCM ; Waters, HR (Cambridge University Press (CUP), 2002-01-01)
    Abstract We study the distribution of the time to ruin in the classical risk model. We consider some methods of calculating this distribution, in particular by using algorithms to calculate finite time ruin probabilities. We also discuss calculation of the moments of this distribution.