Do instructional attributes pose multicollinearity problems? An empirical exploration

It is commonly perceived that variables ‘measuring’ different dimensions of teaching (construed as instructional attributes) used in student evaluation of teaching (SET) questionnaires are so highly correlated that they pose a serious multicollinearity problem for quantitative analysis including regression analysis. Using nearly 12000 individual student responses to SET questionnaires and ten key dimensions of teaching and 25 courses at various undergraduate and postgraduate levels for multiple years at a large Australian university, this paper investigates whether this is indeed the case and if so under what circumstances. This paper tests this proposition first by examining variance inflation factors (VIFs), across courses, levels and over time using individual responses; and secondly by using class averages. In the first instance, the paper finds no sustainable evidence of multicollinearity. While, there were one or two isolated cases of VIFs marginally exceeding the conservative threshold of 5, in no cases did the VIFs for any of the instructional attributes come anywhere close to the high threshold value of 10. In the second instance, however, the paper finds that the attributes are highly correlated as all the VIFs exceed 10. These findings have two implications: (a) given the ordinal nature of the data ordered probit analysis using individual student responses can be employed to quantify the impact of instructional attributes on TEVAL score; (b) Data based on class averages cannot be used for probit analysis. An illustrative exercise using level 2 undergraduate courses data suggests higher TEVAL scores depend first and foremost on improving explanation, presentation, and organization of lecture materials.Multicollinearity, variance inflation factor, instructional attributes, threshold, Australia

The nature of NGO microfinance in Vietnam and stakeholders� perceptions of effectiveness

The microfinance industry in Vietnam, particularly those sponsored by non-government organisations (NGOs), has experienced rapid expansion in recent years. While there have been anecdotal reports alluding to their contribution in alleviating poverty, a systematic analysis of this issue has been lacking. In a bid to help address this shortcoming, this paper reports on data that was obtained during a survey and interview process that incorporated various stakeholders including financial donors, NGO-sponsored microfinance institutions (NMPs), village leaders and NMP members and non-members. Firstly, the nature of NMPs is described - their objectives, target groups and the financial products they offer. Secondly, perceptions of NMPs effectiveness are discussed from the standpoint of various stakeholders. NMPs are found to be at a critical juncture. While their activities are widely perceived to contribute to poverty alleviation, their future viability is clouded by donor requirements that they become financially self-sufficient. At the same time, certain government policies make achieving this goal very difficult.

Sources of Productivity Growth in Health Services: A Case Study of Queensland Public Hospitals

Improving the performance of health sector is one of the most popular issues in Queensland, Australia. This paper contributes to this important policy debate by examining the efficiency of health facilities in Queensland using the Malmquist Productivity Index (MPI). This method is selected because it is suitable for the multi-input, multi-output, and not-for-profit natures of public health services. In addition, with the availability of panel data we can decompose productivity growth into useful components, including technical efficiency changes, technological changes and scale changes. The results revealed an average of 1.6 per cent of growth in total factor productivity (TFP) among Queensland public hospitals in the study period. The main component contribute to the modest improvement of TFP during the period was catching-up at an average of 1.0 per cent. SFA estimates suggest that the number of nurses is the most influential determinant of output.Public health services, productivity growth, Queensland

Does maternity leave affect child health? Evidence from parental leave in Australia survey

One of the arguments that is advanced in support of paid maternity leave (PML) policies is that the mother’s time away from work, around childbirth, is expected to improve maternal health and child health and development. However evidence on these links is scarce and, until recently, little was known about the link, if any, between child health and maternity leave. Moreover, the limited literature that does exist tends to use aggregate data (i.e., an “ecological design”) to test the hypotheses that maternity leave affects maternal and child health. Evidence from micro-level data is rare because of the unavailability of such data on household level. We employ such data from the Parental Leave in Australia Survey (PLAS), which is a nested survey of the Longitudinal Study of Australian Children (LSAC), to examine the impacts of maternity leave on child health. Using the PLAS and the first two waves of the LSAC we find that maternity leave, as measured by the duration of paid maternity leave (PML) and other forms of leave around childbirth, have strong and statistically significant effects on: child health, the decision to breastfeed, the duration of breastfeeding, and the probability that child immunisations are up-to-date. Our results show that mothers who take maternity leave are more likely to breastfeed their children and also that longer-term maternity leave is associated with an increase in the duration of breastfeeding. Our results also confirm that both mothers’ PML and fathers’ paid paternity leave (PPL) have statistically significant and positive effects on general health status of children. We also find that, in most specifications, the effects of PML are significant if the duration of leave is at least 6 weeks. PML is also significantly associated with a lower probability of some childhood chronic conditions such as asthma and bronchiolitis, but the effects of PPL on these conditions is ambiguous

Childhood obesity and the income gradient: evidence from Australia

This paper examines the dynamic nature of human capital formation in the context of childhood obesity and the association of household income and childhood obesity in Australia using the first five waves of the Longitudinal Study of Australian Children (LSAC). Our results show a strong evidence of dynamic nature of child obesity: the lag obesity is a significant and robust predictor of obesity in the current period. We also found that the main channel for childhood obesity is inter-generational trait: the probability of obesity in children born to an obese mother or father is 15% higher than that of other children. Other important determinants are lifestyle factors, including the consumption of drinks with a high sugar content and the amount of time watching TV. Income becomes an insignificant determinant of childhood obesity once we control for unobserved individual heterogeneity

Child Health and the Income Gradient: Evidence from Australia

The positive relationship between household income and child health is well documented in the child health literature but the precise mechanisms via which income generates better health and whether the income gradient is increasing in child age are not well understood. This paper presents new Australian evidence on the child health-income gradient. We use data from the Longitudinal Survey of Australian (LSAC), which involved two waves of data collection for children born between March 2003 and February 2004 (B-Cohort), and between March 1999 and February 2000 (K-Cohort). This data set allows us to test the robustness of some of the findings of the influential studies of Case et al. (2002) and J.Currie and Stabile (2003), and a recent study by A.Currie et al. (2007) , using a sample of Australian children. The richness of the LSAC data set also allows us to conduct further exploration of the determinants of child health. Our results reveal an increasing income gradient by child age using similar covariates to Case et al. (2002). However, the income gradient disappears if we include a rich set of controls. Our results indicate that parental health and, in particular, the mother's health plays a significant role, reducing the income coefficient to zero. Thus, our results for Australian children are similar to those produced by Propper et al. (2007) on their British child cohort. We also find some evidence that higher incomes have a protective effect when health shocks do arise: for several chronic conditions, children from higher-income households are less likely to be reported as being in poor health than children from lower-income households who have the same chronic conditions. The latter result is similar to some recent findings by Condliffe and Link (2008) on a sample of US children.Child health, Income gradient, Parental health, Nutrition, Panel data, Australia

Implicitly estimating the cost of mental illness in Australia: a standard-of-living approach

Background Estimating the costs of mental illness provides useful policy and managerial information to improve the quality of life of people living with a mental illness and their families. Objective This paper estimates the costs of mental health in Australia using the standard-of-living approach. Methods The cost of mental illness was estimated implicitly using a standard of living approach. We analyse data from 16 waves of the Household, Income and Labour Dynamics in Australia Survey (HILDA) using 209,871 observations. Unobserved heterogeneity was mitigated using an extended random-effects estimator. Results The equivalised disposable income of people with mental illness, measured by a self-reported mental health condition, needs to be 50% higher to achieve a similar living standard as those without a mental illness. The cost estimates vary considerably with measures of mental illness and standard of living. An alternative measure of mental illness using the first quintile of the SF-36 mental health score distribution resulted in an increase of estimated costs to 80% equivalised disposable income. Conclusion People with mental illness need to increase equivalised disposable income, which includes existing financial supports, by 50%-80% to achieve a similar level of financial satisfaction as those without a mental illness. The cost estimate can be substantially higher if the overall life satisfaction is used to proxy for standard of living

Do instructional attributes pose multicollinearity problems? An empirical exploration

It is commonly perceived that variables ‘measuring’ different dimensions of teaching (construed as instructional attributes) used in student evaluation of teaching (SET) questionnaires are so highly correlated that they pose a serious multicollinearity problem for quantitative analysis including regression analysis. Using nearly 12000 individual student responses to SET questionnaires and ten key dimensions of teaching and 25 courses at various undergraduate and postgraduate levels for multiple years at a large Australian university, this paper investigates whether this is indeed the case and if so under what circumstances. This paper tests this proposition first by examining variance inflation factors (VIFs), across courses, levels and over time using individual responses; and secondly by using class averages. In the first instance, the paper finds no sustainable evidence of multicollinearity. While, there were one or two isolated cases of VIFs marginally exceeding the conservative threshold of 5, in no cases did the VIFs for any of the instructional attributes come anywhere close to the high threshold value of 10. In the second instance, however, the paper finds that the attributes are highly correlated as all the VIFs exceed 10. These findings have two implications: (a) given the ordinal nature of the data ordered probit analysis using individual student responses can be employed to quantify the impact of instructional attributes on TEVAL score; (b) Data based on class averages cannot be used for probit analysis. An illustrative exercise using level 2 undergraduate courses data suggests higher TEVAL scores depend first and foremost on improving explanation, presentation, and organization of lecture materials

The Nature of NGO Microfinance in Vietnam and Stakeholders' Perceptions of Effectiveness

The microfinance industry in Vietnam, particularly those sponsored by non-government organisations (NGOs), has experienced rapid expansion in recent years. While there have been anecdotal reports alluding to their contribution in alleviating poverty, a systematic analysis of this issue has been lacking. In a bid to help address this shortcoming, this paper reports on data that was obtained during a survey and interview process that incorporated various stakeholders including financial donors, NGO-sponsored microfinance institutions (NMPs), village leaders and NMP members and non-members. Firstly, the nature of NMPs is described - their objectives, target groups and the financial products they offer. Secondly, perceptions of NMPs effectiveness are discussed from the standpoint of various stakeholders. NMPs are found to be at a critical juncture. While their activities are widely perceived to contribute to poverty alleviation, their future viability is clouded by donor requirements that they become financially self-sufficient. At the same time, certain government policies make achieving this goal very difficult

High-Resolution Wind Measurements for Offshore Wind Energy Development

A mathematical transform, called the Rosette Transform, together with a new method, called the Dense Sampling Method, have been developed. The Rosette Transform is invented to apply to both the mean part and the fluctuating part of a targeted radar signature using the Dense Sampling Method to construct the data in a high-resolution grid at 1-km posting for wind measurements over water surfaces such as oceans or lakes