ORCID Profile
0000-0001-7884-0374
Current Organisation
University of Technology Sydney
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Mental Health | Urban and Regional Studies (excl. Planning) | Urban Policy | Psychology | Migration | Human Geography | Social and Community Psychology
Expanding Knowledge through Studies of Human Society | Ethnicity, Multiculturalism and Migrant Development and Welfare | Health and Support Services not elsewhere classified | Mental Health | Expanding Knowledge in Built Environment and Design |
Publisher: Wiley
Date: 23-08-2016
DOI: 10.1002/9781118755471.SGD023
Abstract: This chapter outlines some of the economic and behavioral considerations that affect the use and uptake of smart metering technologies. In standard economic terms, smart meters (SMs) have the potential to enable better matching of supply and demand, enabling real‐time and more efficient pricing. They also have additional benefits explicable using key insights from behavioral economics. If SMs are designed to take account of common heuristics, that is, quick decision‐making rules, and decision‐making biases, then their net benefit will be significantly increased. The behavioral factors that are likely to be most significant for SMs include status quo and familiarity biases, anchoring and adjustment around reference points, social influences, and present bias/short‐termism. This chapter explores the potential for SMs to effectively enable household energy saving – for ex le, by providing a tool for setting default options, allowing more frequent and accurate real‐time energy use data for householders, conveying social information and/or improving information flows, and enabling householders to switch suppliers more easily. SMs have the potential to offer new services in the future too, for ex le – reducing fuel poverty by enabling prepayment customers to manage their energy payments more easily.
Publisher: ACM
Date: 15-05-2019
Publisher: Palgrave Macmillan UK
Date: 2001
Publisher: Informa UK Limited
Date: 08-2006
Publisher: The University of Adelaide
Date: 2020
DOI: 10.25909/12814385.V1
Publisher: Informa UK Limited
Date: 07-2006
Publisher: The University of Adelaide
Date: 2020
DOI: 10.25909/12814385.V2
Publisher: Edward Elgar Publishing
Date: 04-2014
Abstract: In the aftermath of the financial crisis, macroeconomics is at a crossroads: on the one hand, the analytically rigorous, assumption-based approaches based on dynamic stochastic general equilibrium (DSGE) models lack intuitive plausibility and predictive power on the other hand, alternative models lack an underlying analytical core. Behavioural economics offers a potential solution if it can unify intuition and analytical rigour. The aim of this paper is to assess the extent to which macroeconomics can embed behavioural and psychological insights from behavioural microeconomic analysis in order to build a rigorous and intuitively plausible understanding of how economic systems, including the macroeconomy and the financial system, work.
Publisher: Wiley
Date: 12-2007
Publisher: Geological Society of London
Date: 2004
Publisher: Wiley
Date: 04-2007
Publisher: The Royal Society
Date: 27-01-2010
Abstract: Typically, modern economics has steered away from the analysis of sociological and psychological factors and has focused on narrow behavioural assumptions in which expectations are formed on the basis of mathematical algorithms. Blending together ideas from the social and behavioural sciences, this paper argues that the behavioural approach adopted in most economic analysis, in its neglect of sociological and psychological forces and its simplistically dichotomous categorization of behaviour as either rational or not rational, is too narrow and stark. Behaviour may reflect an interaction of cognitive and emotional factors and this can be captured more effectively using an approach that focuses on the interplay of different decision-making systems. In understanding the mechanisms affecting economic and financial decision-making, an interdisciplinary approach is needed which incorporates ideas from a range of disciplines including sociology, economic psychology, evolutionary biology and neuroeconomics.
Publisher: Cambridge University Press (CUP)
Date: 03-2023
DOI: 10.1017/ELR.2022.11
Abstract: GC Harcourt made many fundamental and essential contributions to the development of capital investment theory – most famously via his development of the Cambridge Capital Controversies, exposing conceptual and analytical flaws and contradictions in neoclassical approaches to defining and measuring capital. Relatedly, Harcourt also made essential contributions to our understanding of how accounting rules, used by real-world businesses to guide their investment decision-making, create anomalies and deficiencies in the accumulation of capital at a microeconomic level – with significant, deleterious consequences for the accumulation of capital at a macroeconomic level. In developing Harcourt’s contributions, this paper links Harcourt’s early insights about accounting rules with subsequent developments in behavioural economic models of business decision-making, thus aligning Harcourt’s contributions with insights from behavioural models of investment decision-making. These insights are then combined in showing how the misapplication of investment appraisal criteria at a microeconomic level contributes to under-investment and investment volatility in the macroeconomy, with negative implications for output, employment, labour productivity, wages and cyclical volatility.
Publisher: Elsevier BV
Date: 10-2012
Publisher: SAGE Publications
Date: 07-1998
DOI: 10.1177/096977649800500301
Abstract: The reduction of regional unemployment disparities is a key prerequisite for the achievement of socioeconomic cohesion in an integrated European Union. This article examines recent trends in the evolution of regional unemployment disparities across a number of European member states to determine whether and how far this reduction is occurring. There is in fact little indication of any widespread convergence of regional unemployment rates. Instead, regional unemployment disparities across Europe appear to be characterized by a high degree of persistence. Furthermore, the evidence suggests that this persistence is an equilibrium phenomenon rather than the result of prolonged disequilibrium in regional labour markets.
Publisher: Springer Science and Business Media LLC
Date: 02-02-2022
DOI: 10.1038/S41597-022-01136-5
Abstract: Each year the proportion of Australians who rent their home increases and, for the first time in generations, there are now as many renters as outright homeowners. Researchers and policy makers, however, know very little about housing conditions within Australia’s rental housing sector due to a lack of systematic, reliable data. In 2020, a collaboration of Australian universities commissioned a survey of tenant households to build a data infrastructure on the household and demographic characteristics, housing quality and conditions in the Australian rental sector. This data infrastructure was designed to be national (representative across all Australian States and Territories), and balanced across key population characteristics. The resultant Australian Rental Housing Conditions Dataset (ARHCD) is a publicly available data infrastructure for researchers and policy makers, providing a basis for national and international research.
Publisher: Springer Science and Business Media LLC
Date: 25-07-2016
Publisher: EMBO
Date: 08-2015
Publisher: SAGE Publications
Date: 03-2004
DOI: 10.5367/000000004773166583
Abstract: This paper assesses the relationships between the viability of the tourism industry and willingness to pay for aesthetic aspects of environmental quality. Incentives to provide high-quality tourism are limited given asymmetric information, adverse selection and positive search costs, with implications both for the sustainability of the tourism industry and for environmental sustainability more broadly defined. An econometric model is estimated in which willingness to pay is captured using resort rents and related to aesthetic quality, after controlling for service levels. A negative relationship is found. Some policy issues are assessed, focusing on the implications for tourism as an engine for sustainable development.
Publisher: Routledge
Date: 17-10-2018
Publisher: Society for Neuroscience
Date: 28-09-2016
DOI: 10.1523/JNEUROSCI.0487-16.2016
Abstract: Given that the range of rewarding and punishing outcomes of actions is large but neural coding capacity is limited, efficient processing of outcomes by the brain is necessary. One mechanism to increase efficiency is to rescale neural output to the range of outcomes expected in the current context, and process only experienced deviations from this expectation. However, this mechanism comes at the cost of not being able to discriminate between unexpectedly low losses when times are bad versus unexpectedly high gains when times are good. Thus, too much adaptation would result in disregarding information about the nature and absolute magnitude of outcomes, preventing learning about the longer-term value structure of the environment. Here we investigate the degree of adaptation in outcome coding brain regions in humans, for directly experienced outcomes and observed outcomes. We scanned participants while they performed a social learning task in gain and loss blocks. Multivariate pattern analysis showed two distinct networks of brain regions adapt to the most likely outcomes within a block. Frontostriatal areas adapted to directly experienced outcomes, whereas lateral frontal and temporoparietal regions adapted to observed social outcomes. Critically, in both cases, adaptation was incomplete and information about whether the outcomes arose in a gain block or a loss block was retained. Univariate analysis confirmed incomplete adaptive coding in these regions but also detected nonadapting outcome signals. Thus, although neural areas rescale their responses to outcomes for efficient coding, they adapt incompletely and keep track of the longer-term incentives available in the environment. SIGNIFICANCE STATEMENT Optimal value-based choice requires that the brain precisely and efficiently represents positive and negative outcomes. One way to increase efficiency is to adapt responding to the most likely outcomes in a given context. However, too strong adaptation would result in loss of precise representation (e.g., when the avoidance of a loss in a loss-context is coded the same as receipt of a gain in a gain-context). We investigated an intermediate form of adaptation that is efficient while maintaining information about received gains and avoided losses. We found that frontostriatal areas adapted to directly experienced outcomes, whereas lateral frontal and temporoparietal regions adapted to observed social outcomes. Importantly, adaptation was intermediate, in line with influential models of reference dependence in behavioral economics.
Publisher: Wiley
Date: 04-2008
Publisher: Palgrave Macmillan UK
Date: 2006
Publisher: The Continuum International Publishing Group Ltd
Date: 2004
Publisher: Palgrave Macmillan UK
Date: 2001
Publisher: Proceedings of the National Academy of Sciences
Date: 26-07-2010
Abstract: In iduals can learn by interacting with the environment and experiencing a difference between predicted and obtained outcomes (prediction error). However, many species also learn by observing the actions and outcomes of others. In contrast to in idual learning, observational learning cannot be based on directly experienced outcome prediction errors. Accordingly, the behavioral and neural mechanisms of learning through observation remain elusive. Here we propose that human observational learning can be explained by two previously uncharacterized forms of prediction error, observational action prediction errors (the actual minus the predicted choice of others) and observational outcome prediction errors (the actual minus predicted outcome received by others). In a functional MRI experiment, we found that brain activity in the dorsolateral prefrontal cortex and the ventromedial prefrontal cortex respectively corresponded to these two distinct observational learning signals.
Publisher: Cambridge University Press
Date: 28-05-2012
Abstract: Running Regressions introduces first-year social science undergraduates, particularly those studying economics and business, to the practical aspects of simple regression analysis, without adopting an esoteric, mathematical approach. It shows that statistical analysis can be simultaneously straightforward, useful and interesting, and can deal with topical, real-world issues. Each chapter introduces an economic theory or idea by relating it to an issue of topical interest, and explains how data and econometric analysis can be used to test it. The book can be used as a self-standing text or to supplement conventional econometric texts. It is also ideally suited as a guide to essays and project work.
Publisher: Elsevier BV
Date: 2018
DOI: 10.2139/SSRN.3120225
Publisher: Springer International Publishing
Date: 2018
Publisher: Routledge
Date: 07-05-2013
Publisher: Cambridge University Press (CUP)
Date: 06-2017
Abstract: Until recently, modern macroeconomic models have remained solidly grounded on assumptions of rational expectations, efficient markets and representative agents, with policy prescriptions focused on the power of markets, and complex and esoteric financial intermediation instruments justified as solutions to problems of asymmetric information and risk. In modern microeconomics, behavioural economic analysis has flourished, focusing on in idual responses and interactions. By contrast, in macroeconomics, humans are assumed to behave as if they are mathematical machines, making decisions in a mechanical, objective way. From this perspective, it is difficult to properly capture the instabilities that characterise modern macroeconomies and financial systems. While some progress has been made in recognising the bounds to rationality, the complexity of the macroeconomy can be captured fully only by embedding psychological and sociological forces more fully into macroeconomic models. Keynes was a pioneer in analysing the impacts of socio-psychological influences on macroeconomic phenomena. This article explores some of Keynes’ fundamental ideas about socio-psychological macroeconomic influences, including insights from A Treatise on Probability (1921) onwards, and links these insights both with modern behavioural economic theory and current macroeconomic policy debates.
Publisher: Springer International Publishing
Date: 2016
Publisher: Springer Science and Business Media LLC
Date: 03-11-2006
Publisher: Palgrave Macmillan UK
Date: 2001
Publisher: The University of Adelaide
Date: 2020
DOI: 10.25909/12814385
Publisher: ACM
Date: 05-12-2016
Publisher: Oxford University Press
Date: 2017
Publisher: Informa UK Limited
Date: 1998
Publisher: IEEE
Date: 08-2018
Publisher: Wiley
Date: 10-02-2022
DOI: 10.1002/AJS4.205
Abstract: This article explores the job‐seeking experiences of Black African migrants in South Australia, focussing on the role played by social networks in labour market integration. While it has been long held that “who you know” matters when finding work, the quality and nature of interpersonal connections that can be put to use for job‐seeking purposes suggests that not all networks effectively leverage social capital when it comes to employment. This article argues that Africa‐born migrants in South Australia are a small, erse population whose experiences of labour market integration are mediated by both reception (how they are received and perceived) and strategy and choice (decisions made by migrants themselves). There is evidence of these migrants’ evolving and expanding social networks however, the strategy of building the “right” social networks only goes part‐way to addressing employment gaps, while racialised social hierarchies are embedded in the Australian labour market.
Publisher: Palgrave Macmillan UK
Date: 2015
Publisher: Springer International Publishing
Date: 2017
Publisher: Elsevier BV
Date: 06-2019
Publisher: Wiley
Date: 25-08-2011
Publisher: Informa UK Limited
Date: 03-2013
Publisher: Routledge
Date: 05-08-2016
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Start Date: 2017
End Date: 2022
Funder: Economic and Social Research Council
View Funded ActivityStart Date: 2013
End Date: 2016
Funder: Engineering and Physical Sciences Research Council
View Funded ActivityStart Date: 06-2019
End Date: 03-2021
Amount: $372,210.00
Funder: Australian Research Council
View Funded ActivityStart Date: 09-2020
End Date: 09-2024
Amount: $710,889.00
Funder: Australian Research Council
View Funded Activity