Anna Zhu
Biographic Data
| ID | 5735643 |
|---|---|
| NAME | Anna Zhu |
| GIVEN NAMES | Anna |
| FAMILY NAME | Zhu |
| SIGNATURE | ZHU A |
| AFFILIATIONS | ARC Centre of Excellence for Children and Families over the Life Course |
| ORCID | 0000-0002-1671-5428 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 24 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Double Lasso: Replication and Practical Insights
The rise of machine learning (ML) is one of the most prominent developments in applied econometrics in the past decade. The focus of much economic analysis is causal, rather than prediction, and Belloni et al. (2014) demonstrate how ML methods can be used in causal inference. This paper undertakes a narrow and wide replication of the Monte Carlo and empirical examples presented by Belloni et al. (2014). We discuss practical implications of this r…
Using Machine Learning to Create an Early Warning System for Welfare Recipients
Using high‐quality nationwide social security data combined with machine learning tools, we develop predictive models of income support receipt intensities for any payment enrolee in the Australian social security system between 2014 and 2018. We show that machine learning algorithms can significantly improve predictive accuracy compared to simpler heuristic models or early warning systems currently in use. Specifically, the former predicts the p…
Associations between ongoing Covid ‐19 lockdown and the financial and mental health experiences of Australian families
In 2020, Australia's successful COVID‐19 public health restrictions comprised a national “initial lockdown” (March–May) and “ongoing lockdown” (July–November) for metropolitan Victorian residents only. We evaluated associations between ongoing lockdown and family finances and mental health. In the June and September 2020 Royal Children's Hospital National Child Health Polls, caregivers of children in Victoria and New South Wales (NSW) reported th…
Children and youth in the age of Covid ‐19
The authors want to acknowledge the children and families who inspired them throughout the pandemic. The authors would like to thank Noah and Elena, Lila and Colette, and Tim for teaching them something every day—whether it is courage, patience or how to have fun! The authors would also like to thank Katherine Curchin for her comments on an earlier version of this paper
The Effect of Changing Financial Incentives on Repartnering
This article examines how a reduction in the financial resources available to lone parents affects repartnering. We exploit an Australian natural experiment that reduced the financial resources available to a subset of separating parents. Using biweekly administrative data capturing separations occurring among low- and middle- income couples, we show that the policy reform significantly increased the speed of repartnering for affected separating …
Parenting style as an investment in human development
Childhood homelessness and adult employment: The role of education, incarceration, and welfare receipt
Working and caring for large families: Do mothers face a trade-off
Parenting style as an investment in human development
Childhood homelessness and adult employment: The role of education, incarceration, and welfare receipt
Associations between ongoing Covid ‐19 lockdown and the financial and mental health experiences of Australian families
In 2020, Australia's successful COVID‐19 public health restrictions comprised a national “initial lockdown” (March–May) and “ongoing lockdown” (July–November) for metropolitan Victorian residents only. We evaluated associations between ongoing lockdown and family finances and mental health. In the June and September 2020 Royal Children's Hospital National Child Health Polls, caregivers of children in Victoria and New South Wales (NSW) reported th…
The Effect of Changing Financial Incentives on Repartnering
This article examines how a reduction in the financial resources available to lone parents affects repartnering. We exploit an Australian natural experiment that reduced the financial resources available to a subset of separating parents. Using biweekly administrative data capturing separations occurring among low- and middle- income couples, we show that the policy reform significantly increased the speed of repartnering for affected separating …
Working and caring for large families: Do mothers face a trade-off
Childhood homelessness and adult employment: The role of education, incarceration, and welfare receipt
Parenting style as an investment in human development
The Effect of Changing Financial Incentives on Repartnering
This article examines how a reduction in the financial resources available to lone parents affects repartnering. We exploit an Australian natural experiment that reduced the financial resources available to a subset of separating parents. Using biweekly administrative data capturing separations occurring among low- and middle- income couples, we show that the policy reform significantly increased the speed of repartnering for affected separating …
Using Machine Learning to Create an Early Warning System for Welfare Recipients
Using high‐quality nationwide social security data combined with machine learning tools, we develop predictive models of income support receipt intensities for any payment enrolee in the Australian social security system between 2014 and 2018. We show that machine learning algorithms can significantly improve predictive accuracy compared to simpler heuristic models or early warning systems currently in use. Specifically, the former predicts the p…
Associations between ongoing Covid ‐19 lockdown and the financial and mental health experiences of Australian families
In 2020, Australia's successful COVID‐19 public health restrictions comprised a national “initial lockdown” (March–May) and “ongoing lockdown” (July–November) for metropolitan Victorian residents only. We evaluated associations between ongoing lockdown and family finances and mental health. In the June and September 2020 Royal Children's Hospital National Child Health Polls, caregivers of children in Victoria and New South Wales (NSW) reported th…
Children and youth in the age of Covid ‐19
The authors want to acknowledge the children and families who inspired them throughout the pandemic. The authors would like to thank Noah and Elena, Lila and Colette, and Tim for teaching them something every day—whether it is courage, patience or how to have fun! The authors would also like to thank Katherine Curchin for her comments on an earlier version of this paper
Double Lasso: Replication and Practical Insights
The rise of machine learning (ML) is one of the most prominent developments in applied econometrics in the past decade. The focus of much economic analysis is causal, rather than prediction, and Belloni et al. (2014) demonstrate how ML methods can be used in causal inference. This paper undertakes a narrow and wide replication of the Monte Carlo and empirical examples presented by Belloni et al. (2014). We discuss practical implications of this r…
Economics (5 works) · Psychology (5 works) · Gender, Labor, and Family Dynamics (3 works) · Medicine (3 works) · Political science (3 works) · Sociology (3 works) · Business (2 works) · Demographic economics (2 works) · Demography (2 works) · Demography (2 works)