This paper estimates the impact of economic insecurity on the mental health of Australian adults. Taking microdata from the 2001-2011 HILDA panel survey, we develop a conceptually diverse set of insecurity measures and explore their relationships with the SF-36 mental health index. By using fixed effects models that control for unobservable heterogeneity we produce estimates that correct for endogeneity more thoroughly than previous works. Our results show that exposure to economic risks has small but consistently detrimental mental health effects. The main contribution of the paper however comes from the breadth of risks that are found to be harmful. Job insecurity, financial dissatisfaction, reductions and volatility in income, an inability to meet standard expenditures and a lack of access to emergency funds all adversely affect health. This suggests that the common element of economic insecurity (rather than idiosyncratic phenomena associated with any specific risk) is likely to be hazardous. Our preferred estimates indicate that a standard deviation shock to economic insecurity lowers an individual's mental health score by about 1.4 percentage points. If applied uniformly across the Australian population such a shock would increase the morbidity rate of mental disorders by about 1.7%.

It is frequently hypothesized that feelings of social isolation are detrimental for an individual's mental health, however standard statistical models cannot estimate this effect due to reverse causality between the independent and dependent variables. In this paper we present endogeneity-corrected estimates of the mental health consequences of isolation (based on self-assessed loneliness scores) using Australian panel data. The central identification strategy comes from a natural source of variation where some people within our sample are required by work or study commitments to move home. This relocation may break individuals' social ties, resulting in significantly higher reported feelings of loneliness and consequently may lower mental health scores. The method gives results that are significant, robust and pass a battery of diagnostic tests. Estimates indicate that feelings of isolation have large negative consequences for psychological well-being, and that the effects are larger for women and older people. The results suggest that at current levels, a 10 % reduction applied to all individuals would reduce annual expenditure on mental illness in Australia by approximately $3B AUD, or around $150 AUD per person.

This paper studies income volatility using recent data from the Cross National Equivalence File (CNEF). Measures of downward instability are applied to household income streams and the results are interpreted as indicators of income insecurity. Using this method we examine (i) cross national differences in average insecurity levels, (ii) the effects of taxes and transfers, and (iii) relationships between the insecurity index and household income. Insecurity estimates based on pre-government incomes are highest in Britain and lowest in Germany, however results for post-government incomes are highest in the U.S. It is also shown that insecurity estimates based upon pre-government incomes are heavily concentrated at the lower end of the distribution; although governments are effective at smoothing the income streams of these households. We also search for determinants of our measure and find that gender, household size, health status, and industry affiliations of the household head are the most significant covariates. JEL Code: D31

This paper estimates the influence of inadequate access to healthcare services on the rate of Emergency Room (ER) hospital visits in Australia. We take micro-data on different types of healthcare shortfalls from the 2012 Australian Survey of Disability, Aging and Carers, and employ Propensity Score Matching (PSM) techniques to identify their effects on ER visits. We find that shortfalls in access to various medical services increases ER visits for individuals with mental and physical conditions by about the same degree. Conversely, inadequate community care services significantly predict ER visits for individuals with physical conditions, but not for persons with mental conditions. The lack of predictive power for inadequate community care for persons with mental health problems is surprising, as “acopia” is thought to be a significant driver of crises that require emergency treatment. We discuss some of the mechanisms that may underpin this finding and address the policy implications of our results. Lastly a number of robustness checks and diagnostics tests are presented which confirm that our modelling assumptions are not violated and that our results are insensitive to the choice of matching algorithms.

Households tend to diversify their spending across a wide range of goods and services as they become more affluent. Recently, there has been growing interest in understanding the precise manner in which this spending diversification process takes place. We review what facts are known about this process and the underlying behavioural tendencies that are thought to drive it. In addition, we clarify the relationship between different approaches to measuring the level of spending diversity. A number of indices are employed, including measures based on joint probabilities, distances and the concept of entropy. Using UK household spending data, we show the extent to which these measures deliver different results and shed light on the nature of behavioural heterogeneity.

We We propose a simple single parameter functional form for the Lorenz curve. The underlying probability density function and cumulative density functions for the Lorenz curve are derived and are shown to have some useful properties. The proposed functional form is fitted to existing data sets and is shown to provide a better fit than existing single parameter Lorenz curves for the given data.

No abstract

No abstract