Nicole Black’s research while affiliated with Monash University (Australia) and other places

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Publications (27)


Expecting less in hard times: How the state of the economy influences students’ educational expectations
  • Article

December 2024

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2 Reads

Economics of Education Review

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Nicole Black

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David W. Johnston

Association between mental healthcare use (t + 1) and mental health (t). Circles represent mean healthcare use for a specific value of self‐reported mental health. Circle size is representative of number of observations.
Mental healthcare use by income and education, for those with poor mental health.
Log household income coefficient estimated separately using 10 subgroups. Plotted points are estimated coefficients on log household income variable, based on the specification in Col 3 of Table 2. 95% confidence intervals expressed with horizontal lines.
University degree coefficient estimated separately using 10 subgroups. Note: Plotted points are estimated coefficients on university education variable, based on the specification in Col 3 of Table 2. 95% confidence intervals expressed with horizontal lines.
Coefficient estimates allowing for nonlinear associations with household income. Plotted points are estimated associations based on a version of the specification in Col 3 of Table 2, with log income replaced with quintile dummy variables (lowest quintile omitted/comparison category). 95% confidence intervals expressed with horizontal lines.
Horizontal inequity in the use of mental healthcare in Australia
  • Article
  • Publisher preview available

November 2024

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15 Reads

Health Economics

Nicole Black

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David W. Johnston

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Martin Knapp

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[...]

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For people experiencing mental health problems, timely access to high‐quality healthcare is imperative for improving outcomes. However, limited availability of services, high out‐of‐pocket costs, insufficient health literacy and stigmatizing attitudes may mean people do not receive the necessary treatment. We analyze Australian longitudinal data to document the extent and predictors of horizontal inequity in mental healthcare use among people with a newly developed mild or moderate mental disorder. Importantly, we compare people with similar health, residing in the same area, thus controlling for differences in healthcare needs and availability of services. Results suggest that mental healthcare use is not significantly associated with household income or financial hardship. In contrast, we find significant inequities by educational attainment, with university graduates around 50% more likely to receive mental healthcare than high‐school dropouts. These findings are robust across subsamples and alternative modeling approaches, including panel data models with individual fixed‐effects. Additional explorations of the education gradient suggest a potential pathway through mental health‐specific knowledge and attitudes.

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Children’s time allocation and the socioeconomic gap in human capital

July 2024

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13 Reads

European Economic Review

Children’s time investments in various activities may be important for reducing socioeconomic status (SES) gaps in educational and mental health outcomes. Using detailed time use diaries of Australian children aged 4-14, we observe that children from low SES backgrounds spend more time on digital media and less time on out-of-school enrichment activities, organised or for leisure. We explain the SES gap by employing a human capital development panel model and find that this difference contributes about 3% to the observed SES gap in numeracy skills. The results are supported by exogeneity tests and numerous robustness checks. The contribution is larger for males, older age groups, and if the cumulative effect on learning is considered. No clear results are found for literacy skills and mental health outcomes. The findings imply that interventions promoting a shift away from digital media towards out-of-school enrichment activities could help reduce the SES gap in human capital.





Household donations of time and money in response to a health shock

August 2023

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6 Reads

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1 Citation

Social Science & Medicine

Donations play a critical role in supporting the provision of public goods, yet how donating behaviour changes in response to health shocks is poorly understood. We investigate how the household's joint decision to donate time (volunteer) and money changes following a health shock. Using data from the United States Panel Study of Income Dynamics, and a within-household design that captures the dynamics of a post-health shock response, we find no overall change in the probability of households donating money but an overall reduction in the probability of donating time following a health shock. This is driven by a significant shift from donating both money and time to donating only money after a health shock. The shift away from donating time occurs for both the individual who experienced the health shock and their spouse, though the reduction is greater for the spouse. We examine the role of labour market responses to health shocks in explaining donating behaviour and find that consistent with the added worker effect, spouses of those who experience a health shock increase their work hours, constraining their time available for volunteering.


Average values of Non‐communicable diseases risk factors by educational attainment. Sample includes individuals born in 1953–1972 in Non‐Java districts. Overweight, obesity, high waist circumference, and high blood pressure variables are from Riskesdas, 2018 (N = 50,505 for men and N = 55,322 for women. Smoker variable is from Susenas 2015–2017 (N = 208,676 for men and N = 208,239 for women).
SD INPRES program intensity across district. This figure depicts the INPRES program intensity across district, measured as the total number of primary schools constructed during 1973–1978 per 1000 children in 1971. Data is obtained from INPRES dataset collected by Duflo (2001) using 1995 Indonesia's administrative boundaries.
Placebo Program Effects on Education and Health Outcomes. This graph reports the estimated program effect on each of education and health outcome among the “unexposed” cohort or the placebo program effect, compared with the SD INPRES treatment effect shown in Table 3 and 6. Figures for placebo effects are coefficients of the interaction between an SD INPRES variable ‐ representing number of primary schools built from 1973 to 1978 per 1000 children in 1971—and a placebo exposure variable—indicating a 1958–1962 birth year. Sample consists of individuals born 1953–1957 and 1958–62 from Non‐Java districts. Completed primary school and Literate indicators are obtained from Susenas 2012–2014, overweight, high waist circumference, smoker, diabetes diagnosis, and CVD diagnosis are from Riskesdas, 2018, and the indicator of any health complaints is obtained from Susenas 2012–2018. All regressions control for year of birth, district of birth, and year of survey fixed effects, as well as a year of birth dummy interacted with: the number of children age 5–14 in 1971; district level enrollment rate in 1971; and the intensity of water and sanitation program. The horizontal axis represents the magnitude, the circles represent the point estimates and vertical lines depict their 95% confidence intervals.
Long‐term health effects of a school construction program

March 2023

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126 Reads

Health Economics

Non‐communicable diseases (NCDs) disproportionately affect people in low‐ and middle‐income countries (LMICs), yet context‐specific evidence on policies that impact NCD risk factors is lacking. We estimate the impact of a massive Indonesian primary school expansion program in the 1970s on NCD risk factors in later life using data from two surveys with very large sample sizes. We find that in non‐Java regions of Indonesia, the program led to significant increases in the likelihood of overweight and high waist circumference among women, but not among men. The increase for women can be partly explained by increased consumption of high‐calorie packaged and take‐away meals. We find no meaningful impacts on high blood pressure for either sex. Despite the increase in body weight, the program had a negligible impact on diabetes and cardiovascular disease diagnosis. It led to an improvement in women's self‐reported health outcomes in their early‐40s, but these benefits largely disappeared once they reached their mid‐40s.



Citations (16)


... Macdonald et al. [15] identified spatial clusters using the SatScan methodology [38]. Badji et al. [39] also precisely located these kinds of establishments and showed that people residing in close proximity to gambling outlets are more likely to gamble. ...

Reference:

Spatial clusters of the gambling outlets. A machine learning tree-based algorithm
Economic, Health and Behavioural Consequences of Greater Gambling Availability
  • Citing Article
  • March 2023

Economic Modelling

... Studies have shown the relationship between APA and cell developmental stage Ulitsky et al., 2012), tissue-specificity (Lianoglou et al., 2013), and various diseases (Chang et al., 2017), including obesity (Brutman et al., 2018), one of the most significant public health challenges (Lancsar et al., 2022). For example, Brutman et al. (2018) identified 763 differentially expressed coding genes and one miRNA with APA in the hypothalamus of a high-fat-diet-induced obesity rat model. ...

Social acceptability of standard and behavioral economic inspired policies designed to reduce and prevent obesity

Health Economics

... So gehören Menschen mit insbesondere schweren psychischen Störungen zu den Hauptgefährdeten. Es gibt weiterhin Hinweise, dass unter anderem junge Frauen besonders von den psychischen Folgen von wirtschaftlichen Rezessionen betroffen sind, insbesondere diejenigen in unsicheren Arbeitsverhältnissen oder mit einem niedrigen sozioökonomischen Status (Black et al., 2022). Andere Untersuchungen sehen insbesondere Männer im arbeitsfähigen Alter gefährdet (Martin-Carrasco et al., 2016). ...

Whose mental health declines during economic downturns?

Health Economics

... People can view themselves and the traumatic experience from a broader perspective by affirming selfvalues in areas unrelated to the threat. Patients who have experienced a cancer event develop a "survivor's mission" during the rehabilitation period, transforming the individual's perception from vulnerability and distrust after trauma to a more positive view of others and the world [32]. "Now I no longer complain about this disease. ...

Altruism born of suffering? The impact of an adverse health shock on pro-social behaviour
  • Citing Article
  • November 2021

Journal of Economic Behavior & Organization

... A study by Arnup and colleagues (2021) explored associations between how children used their time and the experience of financial hardship and found financial hardship to be associated with increased screen time, particularly passive screen time (e.g. watching TV), and reduced sleep [23]. This suggests that children from more affluent families are more likely to allocate time in a manner that accumulates the human and social capital required for optimal development. ...

Changes in children’s time use during periods of financial hardship

Journal of Population Economics

... For instance, women are more likely to be a primary caregiver (Australian Bureau of Statistics, 2020), have insecure employment (Australian Bureau of Statistics, 2021), be victims of assault at work, home, or while commuting (Gender Equity Victoria, 2021), and be more negatively impacted during times of economic stress and uncertainty such as a global pandemic (Andersen, Toubøl, Kirkegaard, & Bang Carlsen, 2021;Black, Jackson, & Johnston, 2021;Preston, 2021). A smartphone can play a fundamentally different role for women and may facilitate otherwise unattainable benefits specific to their social needs and well-being (Bloom, Gielen, & Glass, 2016;Crowe & Middleton, 2012;Starks, Dillahunt, & Haimson, 2019). ...

Whose mental health declines during economic downturns?
  • Citing Preprint
  • June 2021

... However, prior research has documented that this is not the case: non-performance related characteristics such as gender (e.g., Mengel et al. 2019, Card et al. 2020, ethnic background (e.g., Price & Wolfers 2010, Shayo & Zussman 2011, Parsons et al. 2011, and nationality (e.g., Spierdijk & Vellekoop 2009, Sandberg 2018 seem to influence the decisions of the evaluators even among the group of well-trained and selected experts. In the same way, premiums and penalties due to physical attributes such as attractiveness, body mass index, and height have been intensively studied as a potential source of discrimination in education and the labour market (e.g., Persico et al. 2004, Mobius & Rosenblat 2006, Case & Paxson 2008, Stinebrickner et al. 2019, Black & de New 2020, Goulão et al. 2024. ...

Short, Heavy and Underrated? Teacher Assessment Biases by Children's Body Size*

Oxford Bulletin of Economics & Statistics

... Moreover, Arnup et al. (Arnup et al., 2020) find that deprived children spend significantly more time in front of screens, with passive screen time and excessive screen time being prevalent. Children are unlikely to get up to date information from this kind of activity. ...

Children’s Time Use Changes During Periods of Financial Hardship
  • Citing Preprint
  • April 2020

... These are all structural characteristics that have been associated with harm in EGM use (Dixon et al., 2014;Dixon et al., 2015;Livingstone, 2017;Palmer et al., 2024;Pisklak et al., 2020). Furthermore, coin pusher machines are typically housed in UK seaside arcades, and often placed in close physical proximity with EGMs, which could help ease the transition to these more harmful gambling formats (Badji et al., 2020;Russell et al., 2023). In particular, direct lived experience from former coin pusher machine users could be helpful (Ortiz et al., 2021), especially given the lack of available longitudinal evidence. ...

Association between density of gaming venues in a geographical area and prevalence of insolvency: Longitudinal evidence from Australia
  • Citing Article
  • April 2020

Addiction

... Taken together, the first and third clusters directly connect the financing of social welfare with the most relevant global challenges, such as criminal justice (Collins, 2011;Fox and Albertson, 2011;Williams and Treffers, 2021), unemployability (Lavee et al., 2018), infrastructures (Singla et al., 2021), health (Fitzgerald, 2013;Gruyter et al., 2020;Katz et al., 2018;Rowe and Stephenson, 2016;Trupin et al., 2014), health emergencies like the COVID-19 pandemic (Kabli et al., 2021) and a mixture of global development goals (Rizzello and Kabli, 2020). ...

Attracting investors for public health programmes with Social Impact Bonds
  • Citing Article
  • January 2020

Public Money & Management