Browsing by Author "Miller, Paul W."

Now showing 1 - 3 of 3
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    Happiness in university education
    (The University of western Australia, 2023) Chan, Grace; Miller, Paul W.; Tcha, MoonJoong
    The aim of this paper is to quantify the determinants of happiness in university students, with information drawn from a survey conducted with students at the University of Western Australia in 2003. Ordered probit and ordinary least squares models are applied. Happiness could be measured and linked to a range of factors for instance, grades achieved, friendships developed, school facilities, opportunities to participate in extra-curricular activities and lecture quality. The findings reveal that the most important influence on the levels of satisfaction of students are school work, time management and relationships formed in university.
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    A test of the sorting model of education in Australia
    (The University of western Ostralia, 2023) Miller, Paul W.; Mulvey, Charles; Martin, Nick
    In this paper we test the hypothesis advanced by Weiss (1995) that under sorting models the return to schooling across identical twins would decline over time compared to the return for the population as a whole. The analyses undertaken on a relatively large sample of Australian twins are consistent with this proposition. The pure effect of education on earnings declines with time in the labour market. This presumably occurs because with time in the labour market firms learn more about the workers and so can set pay assigning more weight to the information they acquire.
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    Why is the payoff to schooling smaller for immigrants?
    (The University of western Ostralia, 2005-08) Chiswick, Barry R.; Miller, Paul W.
    This paper is concerned with why immigrants appear to have consistently lower partial effects of schooling on earnings than the native born, both across destinations and in different time periods within countries. It uses the Over - Required - Under education approach to occupations, a new decomposition technique developed especially for this approach and data from the 2000 Census of the United States.