Sergey Alexeev
About
I am an economist–statistician specialising in trial-based and quasi-experimental evaluation, predictive modelling, and cost–benefit analysis. I work with linked administrative and clinical datasets to answer policy questions across health, labour, housing, and criminal justice, and I build reproducible pipelines in R/Stata/Python/SQL for secure data environments—an approach reinforced through my work as a contributor to the Institute for Replication (I4R).
I am currently a Senior Research Associate at UNSW’s Nura Gili Centre for Indigenous Programs, and an Adjunct Senior Lecturer at the University of Sydney’s NHMRC Clinical Trials Centre. I serve on the Editorial Board of the International Journal of Drug Policy, and I’m a member of the NSW Population & Health Services Research Ethics Committee (PHSREC).
UNSW profile · CV · Research / Teaching statements · Google Scholar · ORCID · ResearchGate · X · LinkedIn
Mentorship
I’m actively looking for HDR/PhD candidates and collaborators. My work spans econometrics, biostatistics, epidemiology, and health economics, and I work closely with applied partners on decision-facing questions. I also do expert witness / independent expert reports for courts and tribunals, which keeps me grounded in what “decision-ready” evidence looks like: clear assumptions, transparent methods, careful interpretation, and outputs that stand up to scrutiny. As a result, I regularly come across concrete, high-impact projects that can be shaped into publishable theses.
If you’re interested, email me at sergei.v.alexeev@gmail.com with a short note about your background and interests, or message me on WhatsApp at +61 457 871 540. You’re also welcome to reach out to my current and past students for candid feedback on my supervision style (e.g., Alexandra Gallagher, Jessica Cornish, and Oscar Ninou).
Quick rule of thumb
- Scholarships: domestic candidates are typically much less competitive than international candidates (roughly ~70% vs ~10–15%, depending on round and university).
- Eligibility / competitiveness: Honours degree or ~1 year of research in a Master’s with strong grades (≈75%+); otherwise, first-author papers plus ~1 year FTE research experience.
- English: clear evidence of strong English language capability.
Publications
Journal articles & related media coverage
- Risky alcohol use and violence against women: cause or consequence? Bigger drinking bouts raise women’s risk of physical violence, and being assaulted tends to increase how much they drink later—suggesting targeted prevention and post-incident alcohol support could help.
- Dual-edged benefits of drug policing: a quarter century’s lesson from a heroin drought We develop a strong triple difference design, with variation across crimes and areas, to quantify the impact of Australia's 2001 heroin shortage on crime, providing precise and uniform evidence on both the immediate and long-term effects of drug law enforcement. Applying the design to 25 years of monthly postcode data, we show that crime experiences an 8.4% surge in the first month, followed by a 1% decrease every 13 months, resulting in a cumulative 22% reduction over 18 years. This translates to an annual saving of approximately AUD 2.21 billion from crimes averted, highlighting that the benefits of supply-side drug policies are significant and often underestimated due to their delayed realization. We conclude that supply-side policies have a more substantial role in reducing drug-related harm than is conventionally assumed.
- A closer look at Doleac and Mukherjee (2022) and the effects of naloxone access laws on opioid ER admissions Doleac and Mukherjee (2022) conclude that broadening access to a life-saving drug — naloxone — does not reduce opioid-related mortality as the drug simultaneously encourages riskier drug use. I show issues with their data, design, and estimation methods. For example, their Google Search has an unverifiable origin, the law timing is incorrect, and the statistical inference is invalid. Correcting these issues within a triple difference design shows that naloxone, contrary to their findings, does not increase ER opioid admissions. I conclude that the moral hazard (and the ensuing adverse consequences) of naloxone use lacks empirical support.
- Transforming nursing assessment in acute hospitals: A cluster randomised controlled trial of an evidence-based nursing core assessment (the ENCORE trial) Patient safety is threatened when early signs of clinical deterioration are missed or not acted upon. A clinical–academic partnership developed ENCORE—a complex intervention facilitated at the ward level for proactive nursing surveillance. Testing ENCORE on 29 randomly selected general wards across 5 Australian sites, we showed that the intervention has protective effects for patients with low complexity, enabling frontline teams to respond locally. It also redistributed medical emergency team activations and unplanned intensive care unit admissions, mobilizing higher rates of rescue for patients with multimorbidity.
- Harm reduction or amplification? The adverse impact of a supervised injection room on housing prices A medically supervised injecting room —a facility for the safe injection of illicit drugs—is an example of a harm reduction approach against opioid epidemics. An economic theory of moral hazard suggests that such a room can intensify drug use by reducing the risk of lethal overdose, mediating an increase in crime, death, and nuisance behavior, thus, depressing local urban development. Beyond that, negative media coverage can generate similar adverse outcomes even without any factual drug intensification. Accordingly, using non-parametric methods and spatial double and triple difference design on the data from Victoria, Australia, we show that the room's opening causes around 5%–7% reduction in housing value. We conclude that the harm reduction approach can have nontrivial indirect costs outside health domains.
- Wage equation misrepresents gay wage discrimination: overlooked evidence from Russia Only data from developed countries were used to estimate the sexual orientation difference in wages. This paper is the first that identifies the wage discrimination of gay men in Russia -- a country where institutional discrimination and ignorance against gay men are known to present. Gays are identified as men who reported having sex with other men in several waves of the national household survey. A wage equation is used to estimate the gay wage penalty. Extending the wage equation to implement a difference-in-difference design, the paper also ensured to evaluate the effect of the gay-propaganda law of 2013 on gay wages. No wage discrimination is identified. The law also has no adverse effect on gay wages. These results are implausible and add to existing evidence that gay discrimination measured with wage equation suffers from endogeneity and should be interpreted with caution. Particular caution should be exercised in cross-sectional and time-series comparisons, as a tendency to report the orientation honestly and unobserved confounders vary by location and time. Cross-country comparison and theoretical generalizations are premature, and better identification strategies are needed to understand sexual orientation differences. Policymakers should be aware that in both discriminatory and equitable environments, there may be hidden inequality even if researchers do not detect it.
- Fines for illicit drug use do not prevent future crime: evidence from randomly assigned judges This study uses judicial leniency as an instrumental variable to estimate the effect on recidivism of a monetary penalty for using or possessing a prohibited drug. Using data from the state of New South Wales, Australia, we find that fines have no measurable effect on recidivism. In contrast, ordinary least square estimates mistakenly suggest that fines increase recidivism risk. The results add to existing evidence that sanctions are ineffective in changing drug use behaviour. This should encourage policymakers to seek other ways of stopping or reducing illicit drug consumption among active users.
- Technical change and wage premiums amongst skilled labor: evidence from the economic transition I present reduced-form and structural evidence that the reorganization of the Russian economy in the post-transitional period increased the demand on law and business graduates. This demand shock provides a novel unified explanation of the Russian wage structure for 1985–2015. I then show that this shock is a common feature of all transitional economies, and it contributed to the transformational recession. The demand behaviour is identified with a new skill-biased technical change model of demand for skills with three production inputs (high school graduates and bachelor-level educations with two majors), showing that a technology shift that favours a particular skill might emerge within the skilled group rather than between skilled and unskilled. This is relevant because similar shifts (e.g., data scientists vs. liberal arts) emerge today in the frontier economies that adopt new general-purpose technologies (e.g., machine learning). Thus, this paper informs policymakers today on tools to counteract a potential drop in economic equality and performance that result from this adoption.
- Changes in and correlates of Australian public attitudes toward illicit drug use The present study explores Australian public support for more lenient treatment of persons found in possession of small amounts of illegal drugs for personal use. Data for the study are drawn from the 2013, 2016 and 2019 National Drug Strategy Household Surveys. Bivariate associations were tested using χ² tests corrected for survey design. Multivariate analyses of public support for legalisation and imprisonment involved logistic regression. Multivariate analyses of public preferences for various responses to those found in possession of illicit drugs involved the use of multinomial regression. Support for legalising personal use of three drugs (cannabis, ecstasy and cocaine) has risen significantly since 2013 but remained stable (and low) for two (heroin and methamphetamine). Support for no action, a caution or a warning has grown for those found in possession of cannabis, ecstasy and heroin for personal use but not for those found in possession of methamphetamine. There is, however, more support for responding to this group with treatment, education or a small fine than there is for imprisonment. There is strong support for legalising use of cannabis. There is little support for legalising use of ecstasy and cocaine but growing public support for a less punitive approach to those who use these drugs. There is little public support for a change in the current approach to heroin and methamphetamine.
- The Australian ready-to-drink beverages tax missed its target age group During 2008 and 2009, the Australian Government increased the tax on ready-to-drink alcoholic beverages by 70% to discourage drinking among adolescents. To evaluate the tax, we use the difference-in-difference and comparative interrupted time series estimators, where age is used to define the control and treatment groups. This methodology is applied to the Household Income and Labour Dynamics in Australia survey. We show that the tax did not affect the alcohol consumption of those aged under 25 (the tax targeted age group) but substantially reduced drinking among those aged 25–69, reducing their average daily consumption of standard drinks by 8.9% from 2010 to 2018. The age group under 25 did not respond to the tax likely because of product substitution. Alcohol price policy may need to acknowledge complex substitute/complement relationships between beverages and consider a floor price on alcohol or a uniform volumetric tax per standard drink.
- The role of imputed rents in intergenerational income mobility in three countries This is the first paper that studies the effects of including non-monetary income from housing (imputed rent) in the measure of income on intergenerational income mobility. Using national panel data sets for Australia, the United States and Germany, it is shown that only Australian society becomes 22% less mobile as measured by an intergenerational rank correlation. This decrease is also confirmed using the intergenerational transition matrices. As a result, cross-regional comparisons of intergenerational income mobility may be misleading, especially using tax data as imputed rent is rarely taxed.
Other writing
Consulting
I help organisations answer high-stakes, decision-facing questions with evidence that is transparent, defensible, and usable. My consulting work combines economics, biostatistics, and health economics to evaluate policies, programs, and technologies — from causal impact evaluation (trial-based and quasi-experimental) to economic evaluation (cost-effectiveness, cost–benefit, budget impact) and clear decision briefs for non-technical audiences.
My background spans corporate finance and project delivery (Russia/France), economics (Canada), and a PhD in economics, and I now apply that toolkit in Australian public health and policy. Practically, that means I scope quickly, agree on the decision, comparators and assumptions up front, build a workable data strategy, and deliver decision-ready outputs (including reproducible code where appropriate). I’m comfortable working in secure data environments (including PLIDA) and maintain current HILDA access, so projects can move from question → analysis → defensible write-up without hand-waving.
I also produce expert witness / independent expert reports for courts and tribunals, which keeps me grounded in what “stands up to scrutiny”: clear logic, transparent methods, careful interpretation, and sensitivity analysis that makes uncertainty explicit. Selected engagements include expert witness work for the Fair Work Commission (AM2024/20; instructed by Piper Alderman) and the Industrial Relations Commission of NSW (2025/187709), advisory input for Deloitte and Rennie Advisory, and cross-agency evaluation work with NSW Justice Health, Corrective Services NSW, and BOCSAR.
If you’d like to discuss a project, email me at with a few lines on the decision you need to make, your timeline, and what data you have (or can access). I’ll reply with a simple scope and options.
Grants
- EVIDENCE: Evaluating Interventions for Drug Epidemics—Net Community Effectiveness This project will study how harm reduction programs—such as safe injection centres and needle exchanges—in Sydney and Melbourne affect health, safety, and wellbeing for everyone. We aim to find out what works best, for whom, and how to make drug policies fairer and more effective across Australia. All results will be openly shared to help communities, service providers, and policymakers make better decisions. Special focus will be given to young people and First Nations Australians
- HOPE: Health Outcomes and Post-incarceration Evaluation The HOPE project will find out how going to prison affects people’s health in Australia. We compare people sent to prison with those given community orders, using a research method that shows the true impact of prison. By working with Aboriginal leaders and people with lived experience, we aim to give clear answers to help improve health and justice policies. This evidence is urgently needed to address health gaps and support better outcomes for individuals, families, communities and the nation
- CARE for stepped-wedge trials: negative weights and robust inference
Teaching
- Intermediate Microeconomics
- Predictive Analytics
- Data Mining and Data Analysis
- Time Series Econometrics
- Macroeconomics / Global Governance / Macropolicies / Financial Intermediation
- Intro Micro / Intro Macro