CEPAR | Centre for Population Ageing Research | University of New South Wales (UNSW Sydney)

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Working Papers

2025Sep

Renee Fry-McKibbin, Weifeng Larry Liu, and Warwick J. McKibbin

Developing Asia has achieved remarkable economic growth in the last several decades but faces challenges moving from middle-income to high-income status. This paper examines the macroeconomic impacts of future productivity growth in developing Asia on the region and the world, focusing on the responses of private investment. We consider five scenarios of productivity growth driven by catch-up mechanism, with our results showing that Asia’s transition to high-income status requires continued rapid productivity growth and massive private investment. The increase in investment would significantly raise real interest rates
domestically, resulting in international capital flows. Quantitatively, increased investment would be financed mainly through domestic saving, but international capital markets would also play a critical role. Productivity growth in one region generates spillover effects in others through two channels, namely international trade and capital flows. Spillover effects tend to be modestly negative in the medium term because capital flows would increase interest rates, but positive in the long term because regions with rising productivity would increase imports from other regions. Thus, competition among Asian economies and with other developing regions is not a zero-sum game as they benefit from each other in the long term. Continuous improvement in policies, institutions, and governance in developing Asia is required to achieve rapid productivity growth and to reduce the risks among economies in attracting international capital flows. Additionally, we examine two climate change scenarios and show that climate change will negatively impact productive investment and economic growth both in developing Asia and globally, as it will reduce productivity.

2025Sep

Weifeng Larry Liu, Warwick McKibbin, Geoffrey Shuetrim, and Peter Wilcoxen

The global economy has experienced significant structural change over the past several decades and is expected to continue evolving in the future, driven by both supply- and demand-side forces. This paper focuses on the supply side, illustrating how productivity growth drives long-term structural change. We examine three scenarios: demographic change in the baseline, technological catch-up of developing countries toward the global productivity frontier, and global productivity growth in manufacturing driven by automation technology. We simulate the scenarios in a multi-region, multi-sector general equilibrium model (G-Cubed). The model captures not only the direct channel of different productivity growth across sectors, but also the indirect channels through sectoral and international linkages. The analysis highlights how asymmetric productivity growth across sectors and countries can reshape global economic structure over time, with important implications for economic growth, international trade, and the distribution of global economic powers.

2025Sep

Weifeng Larry Liu and Warwick J. McKibbin

This paper surveys long-term projections of global GDP per capita and presents our own projections through 2050 using a multi-country-multi-sector general equilibrium model (G-Cubed). Existing studies generally agree that global GDP per capita growth will continue to slow in the coming decades, driven by several global challenges such as rapid population ageing, slower technological progress, weaker capital investment, and stagnating educational attainment. Projections tend to be consistent for advanced economies, but vary considerably for developing regions, highlighting the importance of alternative methodologies and assumptions, as well as inherent long-term uncertainty. While existing studies rely on neoclassical models with an aggregate production sector, the G-Cubed model takes a disaggregated approach to projecting productivity and output that accounts for dynamic interactions between sectors and across economies. Our projections incorporate the impacts of three fundamental factors: productivity growth, population ageing, and climate change. Productivity growth in advanced economies is expected to slow, but artificial intelligence could counteract the decline and serve as an engine for sustained growth. Population ageing in most advanced economies will continue to constrain labour supply, potentially reducing GDP per capita through changes in age structure. Climate change poses challenges to economic growth through multiple channels, with moderate quantitative impacts by mid-century. The extent to which developing regions can boost productivity, leverage demographic advantages, and navigate climate change will depend on policy choices, as well as governance and institutional improvements. Finally, the paper discusses the implications of geopolitical fragmentation, government debt, and public infrastructure on economic growth.

2025Jun

Peter McDonald

In the recent past, there has been considerable coverage in the media in Australia of the level of the Australian fertility rate. This has been given impetus by the publication in December 2024 of a Total Fertility Rate (TFR) of 1.49 births per woman for the year 2023-24 (ABS 2024a), the lowest level of the TFR ever recorded. In this paper, Peter McDonald discusses why the TFR is a very misleading estimate of the number of births that Australian women are having.

 

2025Jun

Lingfeng Lyu, Yang Shen, Michael Sherris, Jonathan Ziveyi

This paper addresses the critical underfunding challenge in the Australian aged care system by exam- ining how home equity can enhance retirement savings, enable bequests, support living arrangements, and mitigate aged care risks. We apply a recursive utility framework incorporating housing-state-dependent consumption and wait times for means-tested aged care services. Our analysis demonstrates incorpo- rating wait times facilitates a model for allocating aged care funding within a multi-state disability framework and sheds light on the retirement-savings puzzle. Our analysis also reveals that retirees with low to moderate net wealth are more willing to enter residential aged care facilities (RACFs). This is because home equity is a hedge against this risk, either by generating rental income to cover RACF fees (positive hedging) or acting as a fallback resource (negative hedging). Simulation reveals that when home care packages (HCPs) are underfunded (indicated by longer wait times) and residential care is adequately resourced (reflected in shorter wait times), wealthier retirees tend to draw more heavily on their home equity during the aged care phase. This behaviour effectively curtails overall expenditures. Moreover, ensuring timely HCP access for lower-wealth individuals, which preserve retirees’ indepen- dence and pension status, would not substantially increase total government expenditures. These results reveal the mutual influence between retirees’ decisions and government expenditures, highlighting the potential to integrate both demand- and supply-side considerations in policy design.

 

2025Jun

Lingfeng Lyu, Yang Shen, Michael Sherris, Jonathan Ziveyi

This study investigates the persistently low uptake of home equity release products in Australia by evaluating the Government’s Home Equity Access Scheme (HEAS), which is integrated with means-tested pension income. We propose an alternative, flexible downsizing option that facili- tates relocation and employ it to infer the demand for HEAS. Using a recursive utility model, we model retiree decisions around consumption, bequests, and exposure to house price and longevity risks across areas. The analysis accounts for means-testing rules and health-related expenditure variation across health states. Our findings show that asset-rich but income-poor retirees benefit the most from HEAS. However, the scheme’s restrictive withdrawal rules, whereby allowable with- drawals decline as pension income increases, limit its usefulness for full pensioners and discourage participation by highly risk-averse individuals. We also find that HEAS is most attractive to those with low bequest motives and a high willingness to shift consumption over time. Furthermore, we identify key characteristics of suburbs where HEAS is more likely to be demanded: larger home equity sizes, lower current but higher predicted house prices, and longer life expectancy.

 

2025Jun

Lingfeng Lyu, Yang Shen, Michael Sherris, Jonathan Ziveyi

This paper proposes a tri-level hierarchical model for house price prediction at Australian suburbs postcode level, integrating dynamics from the national level and the Statistical Areas Level 4 (SA4) level under the Australian Statistical Geography Standard (ASGS). Our study advances house price modelling by introducing a novel framework that integrates risk premium–principal component analysis (RP-PCA), vector autoregressive (VAR) modelling, and an empirical copula approach. Employing RP-PCA to ex- tract SA4-level risk factors and combining these with national-level drivers, we develop a VAR model to capture dynamic relationships. Spatial dependencies in one-step-ahead forecast residuals across sub- urbs are modelled via an empirical copula, further enhancing predictability. Results demonstrate that this geographically conditional multi-factor model, structured hierarchically, increases interpretability and improves short-term forecast accuracy without compromising long-term robustness. Furthermore, this methodology presents a dynamic and granular view of house price trends in Australia. Results highlight key national determinants, including interest rate shifts, gross domestic product growth, and exchange rate variations, particularly in metropolitan urban areas. At the SA4 level, household debt levels, in- come growth, and population dynamics emerge as critical determinants of price trends, highlighting the interplay of economic and demographic drivers across spatial scales.

 

2025Mar

CEPAR was established in March 2011 to undertake high-impact, independent, multidisciplinary research and build research capacity in the field of population ageing. Funded primarily by two seven-year grants from the Australian Research Council, with generous support from the collaborating universities and partner organisations, the ARC Centre of Excellence undertook an extensive research program and a wide range of education and outreach activities to support its mission to produce and promulgate research of the highest quality to optimise social and economic outcomes for an ageing world.

The second ARC Centre of Excellence funding term ended on 27 September 2024, with research outputs for the period 1 January – 27 September 2024 published below.

2024Dec
Electronic data

Irina Grossman, Meimanat Hosseini-Chavoshi, Tom Wilson and Jeromey Temple

Abstract

Demographic projections are widely used by policymakers, planners, and researchers. They provide essential information for decision-making across sectors such as healthcare, education, and infrastructure. This study explores the use of demographic projections in Australia, focusing on government practitioners while also including respondents from academia and the private sector. Through a 15-minute online survey of 62 participants, the research identified who used projections, their purposes, and the features users valued most. Key findings highlighted significant differences in needs between government and academic users. Government practitioners prioritised medium-term horizons (10–19 years), national and state-level data, local-level data (e.g., SA2 and LGA), and frequent updates. Similarly, academic users in the small sample reported using national and state-level data but placed less emphasis on small-area projections. There is a strong demand for projections that include uncertainty ranges, yet many users reported limited confidence in interpreting and applying these measures. Additionally, government users emphasised the need for scenario-based projections to account for dynamic factors such as migration policies or economic shifts. Respondents also identified challenges, including insufficient granularity, infrequent updates, and limited transparency around projection assumptions. These findings underscore the importance of aligning research with the needs of government practitioners and fostering collaboration between researchers and policymakers. By addressing these gaps, this work aims to strengthen the usability of demographic projections and encourage future partnerships to enhance evidence-based policy and planning.

Funding: This paper was supported by an ARC Linkage Project (grant number: LP210200733) and the Australian Research Council's Centre of Excellence in Population Ageing Research (grant number: CE1101029). The findings and views reported in this article, however, are those of the authors and should not be attributed to our government partners.

Appendix: A Survey of Demographic Projection Users