ORCID Profile
0000-0002-1804-4357
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Research Topics
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.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Econometrics | Health Economics | Econometric And Statistical Methods | Applied Economics | Health Economics | Econometric and Statistical Methods | Public Health And Health Services Not Elsewhere Classified | Cross-Sectional Analysis | Panel Data Analysis | Agricultural Economics | International Economics and International Finance | Health Policy | Economic Development and Growth | Panel Data Analysis | Policy and Administration | Applied Economics Not Elsewhere Classified | Health Promotion |
ANZSRC Socio-Economic Objective (SEO)
Health policy economic outcomes | Public Sector Productivity | Health policy evaluation | Consumption | Microeconomic issues not elsewhere classified | International Agreements on Trade | Preference, Behaviour and Welfare | Expanding Knowledge in Economics | Substance abuse | International Trade not elsewhere classified | Health Education and Promotion | Health Policy Economic Outcomes | Health Policy Evaluation
Related Links
Publications
Benchmarking firm performance
Publisher: Emerald
Date: 30-10-2007
DOI: 10.1108/14635770710834491
Abstract: The aim of the paper is to provide a framework for benchmarking firm performance (profitability) using panel data. Further, to illustrate how the estimation results can be used for simulation (what if?) exercises. The authors apply the econometric techniques used in panel data to estimate profit functions, thereby enabling us to compute measures of firm efficiencies which can subsequently be used as benchmarking tools. The results suggest that both large firms and those highly specialised, enjoy higher profit margins, whereas the more capital intensive a firm is, the lower is its profitability. As with previous studies there is strong evidence of the U‐shaped relationship between market share and profitability. The authors present an analysis of the distribution of firm efficiencies across industries as a whole, and by a number of industry groups. Only a limited s le (with regard to the time span) of Australian firms is used. A major assumption of the procedure is that firm efficiencies are constant over time. Given the short time period used in the empirical application, this does not appear to be unrealistic. The paper provides firms with easy‐to‐use tools with which to benchmark their performance relative to other firms, conditional on their base characteristics. This is the first time that this type of benchmarking exercise has been applied to firm profitability using relatively simple panel data techniques: it will be of use to market analysts, managers and shareholders alike.
Demand for marijuana, alcohol and tobacco: Participation, levels of consumption and cross-equation correlations
Publisher: Wiley
Date: 12-2004
Modelling Firm Innovation using Panel Probit Estimators
Publisher: Informa UK Limited
Date: 15-09-2003
Using externally collected vignettes to account for reporting heterogeneity in survey self-assessment
Publisher: Elsevier BV
Date: 09-2020
Employment outcomes of graduates: The case of Universiti Utara, Malaysia
Publisher: Wiley
Date: 09-2008
Inflated Responses in Measures of Self-Assessed Health
Publisher: University of Chicago Press
Date: 11-2015
DOI: 10.1162/AJHE_A_00026
Modelling the Impact of Environmental Regulations on Bilateral Trade Flows: OECD, 1990-1996
Publisher: Wiley
Date: 03-2002
Pharmaceutical drug misuse: are industry of employment and occupation risk factors?
Publisher: Wiley
Date: 11-2015
DOI: 10.1111/IRJ.12115
Misreporting and econometric modelling of zeros in survey data on social bads: An application to cannabis consumption
Publisher: Wiley
Date: 04-08-2017
DOI: 10.1002/HEC.3553
Dynamic relationships in the Australian labour market: Heterogeneity and state dependence
Publisher: Wiley
Date: 09-2002
Modelling Category Inflation with Multiple Inflation Processes: Estimation, Specification and Testing
Publisher: Wiley
Date: 05-05-2020
DOI: 10.1111/OBES.12366
Growth convergence: some panel data evidence
Publisher: Informa UK Limited
Date: 07-1998
Simulating the behavioural effects of welfare reforms among sole parents in Australia
Publisher: Wiley
Date: 09-2002
A Zero Inflated Regression Model for Grouped Data
Publisher: Wiley
Date: 26-12-2014
DOI: 10.1111/OBES.12086
Default resolution and access to fresh credit in an emerging market
Publisher: Elsevier BV
Date: 09-2016
Habit persistence in effective tax rates
Publisher: Informa UK Limited
Date: 20-05-2003
Heterogeneity in speed of adjustment using finite mixture models
Publisher: Elsevier BV
Date: 02-2022
Stratification strategy for evaluating the influence of diabetes complication severity index on the risk of hospitalization: a record linkage data in Western Australia
Publisher: Elsevier BV
Date: 07-2017
DOI: 10.1016/J.JDIACOMP.2017.03.015
Abstract: This study aimed to develop a risk stratification strategy for evaluating the relationship between complications of diabetes and the risk of diabetic-related hospitalization to accurately classify diabetes severity. The study used administrative health records for 40,624 in iduals with diabetes aged ≥18years in Western Australian. The adapted Diabetes Complication Severity Index (DCSI), socio-demographic and clinical characteristics were used in random effects negative binomial and threshold effect models to determine the optimal stratification strategy for diabetes severity based on the homogeneity of the risk of hospitalization in response to variation of the DCSI. The optimal stratification of people with diabetes was specified by four sub-populations. The first sub-population was no complications with an inverse association with the risk of hospitalizations (coefficient-0.247, SE 0.03). Further three sub-populations with DCSI at one (coefficient 0.289, SE 0.01), two (coefficient 0.339, SE 0.01) and three or more (coefficient 0.381, SE 0.01) were used to accurately describe the impact of DCSI on the risk of hospitalization. A stratification into four subpopulations based on the homogeneous impact of diabetes DCSI on the risk of hospitalization may be more suitable for evaluating health care interventions and planning health care provision.
Within-city dwelling price growth and convergence: trends from Australia’s large cities
Publisher: Informa UK Limited
Date: 29-12-2020
Time protective effect of contact with a general practitioner and its association with diabetes-related hospitalisations: a cohort study using the 45 and Up Study data in Australia
Publisher: BMJ
Date: 04-2020
DOI: 10.1136/BMJOPEN-2019-032790
Abstract: To evaluate the relationship between the proportion of time under the potentially protective effect of a general practitioner (GP) captured using the Cover Index and diabetes-related hospitalisation and length of stay (LOS). An observational cohort study over two 3-year time periods (2009/2010–2011/2012 as the baseline and 2012/2013–2014/2015 as the follow-up). Linked self-report and administrative health service data at in idual level from the 45 and Up Study in New South Wales, Australia. A total of 21 965 in iduals aged 45 years and older identified with diabetes before July 2009 were included in this study. Diabetes-related hospitalisation, unplanned diabetes-related hospitalisation and LOS of diabetes-related hospitalisation and unplanned diabetes-related hospitalisation. The average annual GP cover index over a 3-year period was calculated using information obtained from Australian Medicare and hospitalisation. The effect of exposure to different levels of the cover on the main outcomes was estimated using negative binomial models weighted for inverse probability of treatment weight to control for observed covariate imbalance at the baseline period. Perfect GP cover was observed among 53% of people with diabetes in the study cohort. Compared with perfect level of GP cover, having lower levels of GP cover including high (incidence rate ratio (IRR) 2.8, 95% CI 2.6 to 3.0), medium (IRR 3.2, 95% CI 2.7 to 3.8) and low (IRR 3.1, 95% CI 2.0 to 4.9) were significantly associated with higher number of diabetes-related hospitalisation. Similar association was observed between the different levels of GP cover and other outcomes including LOS for diabetes-related hospitalisation, unplanned diabetes-related hospitalisation and LOS for unplanned diabetes-related hospitalisation. Measuring longitudinal continuity in terms of time under cover of GP care may offer opportunities to optimise the performance of primary healthcare and reduce secondary care costs in the management of diabetes.
A methodology for projecting sparse populations and its application to remote Indigenous communities
Publisher: Springer Science and Business Media LLC
Date: 28-07-2021
DOI: 10.1007/S10109-020-00329-Z
Abstract: A new method is proposed for generating projections for sparse populations by locality, age cohort and gender. An adaptation of the cohort replacement method, the approach uses a Tobit model with varying censoring limits to model population changes by cohort. As an applied ex le, projections are generated for 2016 Indigenous populations in communities in regional and remote Australia, and then compared to actual 2016 Census population counts. We argue the approach has considerable potential, with the model performing well in out-of-s le projection while offering projections at a much finer-grained level of disaggregation than currently available to planners and policy-makers.
Inflation and growth: Explaining a negative effect
Publisher: Springer Science and Business Media LLC
Date: 2004
A novel approach to latent class modelling: identifying the various types of body mass index individuals
Publisher: Oxford University Press (OUP)
Date: 25-02-2020
DOI: 10.1111/RSSA.12552
Abstract: Given the increasing prevalence of adult obesity, furthering understanding of the determinants of measures such as the body mass index (BMI) remains high on the policy agenda. We contribute to existing literature on modelling the BMI by proposing an extension to latent class modelling, which serves to unveil a more detailed picture of the determinants of BMI. Interest here lies in latent class analysis with a regression model and predictor variables explaining class membership, a regression model and predictor variables explaining the outcome variable within BMI classes and instances where the BMI classes are naturally ordered and labelled by expected values within class. A simple and generic way of parameterizing both the class probabilities and the statistical representation of behaviours within each class is proposed, that simultaneously preserves the ranking according to class-specific expected values and yields a parsimonious representation of the class probabilities. Based on a wide range of metrics, the newly proposed approach is found to dominate the prevailing approach and, moreover, results are often quite different across the two.
Measuring the attributes of poverty and its persistence: A case study of eritrea
Publisher: Wiley
Date: 14-03-2011
The Policy choices and reaction functions of Bank of England MPC members
Publisher: Wiley
Date: 10-2009
COVID-19 and offshore oil and gas workers: The role of personality
Publisher: Elsevier BV
Date: 2023
The robustness of estimators for dynamic panel data models to misspecification
Publisher: World Scientific Pub Co Pte Lt
Date: 08-2009
DOI: 10.1142/S0217590809003409
Abstract: Transition from economic theory to a testable form of model invariably involves the use of certain "simplifying assumptions." If, however, these are not valid, misspecified models result. This article considers estimation of the dynamic linear panel data model, which often forms the basis of testable economic hypotheses. The estimators of such a model are frequently similarly based on certain assumptions which appear to be often untenable in practice. Here, the performance of these estimators is analyzed in scenarios where the theoretically required conditions are not met. Specifically, we consider three such instances of serial correlation of the idiosyncratic disturbance terms correlation of the idiosyncratic disturbance terms and explanatory variables and, finally, cross-sectional dependence (as a robustness check to these findings, we also consider correlations between observed and unobserved heterogeneity terms). The major findings are that the limited tests readily available tend to have poor power properties and that estimators' performance varies greatly across scenarios. In such a wide array of experiments, it is difficult to pick-out just one "winner." However, a robust estimator across all experiments and parameter settings was a variant of the Wansbeek–Bekker estimator. This is a significant finding, as this estimator is infrequently used in practice. When the experiments are extended to include correlations between observed and unobserved heterogeneity terms, one might also consider, for across-the-board performance, the Blundell and Bond estimator.
Heterogeneity in ordered choice models: A review with applications to self-assessed health
Publisher: Wiley
Date: 06-12-2014
DOI: 10.1111/JOES.12002
Regularity of contact with GPs: Measurement approaches to improve valid associations with hospitalization
Publisher: Oxford University Press (OUP)
Date: 26-01-2019
Abstract: Studies examine longitudinal continuity of GP contact though few consider ‘regularity of GP contact’, i.e., the dispersion of contacts over time. Increased regularity may indicate planned ongoing care. Current measures of regularity may be correlated with the number of contacts and may not isolate the phenomenon of interest. To compare two published and one newly developed regularity index in terms of their ability to measure regularity of GP contacts independently of the number of contacts and the impact on their association with hospitalization. A cohort at risk of diabetes-related hospitalization in Western Australia from 1990 to 2004 was identified using linked administrative data. For each regularity index, relationships with number of GP contacts were assessed. Hospitalization was then regressed on each index with and without number of contacts as a covariate. Among 153,414 patients the new regularity index showed a reduced association with number of contacts compared with existing indices. Associations with hospitalization differed between measures for previously published indices, there were no significant associations between regularity and hospitalization, whereas on the new index, most regular GP contact was associated with reduced hospitalization (IRR = 0.90, 95% CI = 0.88–0.93). When number of contacts was added as a covariate, point estimates for this index showed little change, whereas for existing measures this addition changed point estimates. A new measure of regularity of GP contact was less correlated with the number of contacts than previously published measures and better suited to estimating unconfounded relationships of regularity with hospitalization.
Inflated Ordered Outcomes
Publisher: Elsevier BV
Date: 12-2012
Inflation and growth: Explaining a negative effect
Publisher: Routledge
Date: 23-03-2009
A dynamic panel analysis of the profitability of Australian tax entities
Publisher: Springer Science and Business Media LLC
Date: 05-2005
A Comparative Study of Introductory and Undergraduate Econometric Textbooks
Publisher: Wiley
Date: 09-1995
Inflated Responses in Measures of Self-Assessed Health
Publisher: University of Chicago Press
Date: 11-2015
DOI: 10.1162/AJHE_A_00026
Vertical, Horizontal and Residual Skills Mismatch in the Australian Graduate Labour Market
Publisher: Wiley
Date: 13-06-2018
Nonlinear Econometric Models with Machine Learning
Publisher: Springer International Publishing
Date: 2022
A Comparative Analysis of Different IV and GMM Estimators of Dynamic Panel Data Models
Publisher: Wiley
Date: 15-01-2004
Pharmaceutical drug misuse: are industry of employment and occupation risk factors?
Publisher: Wiley
Date: 11-2015
DOI: 10.1111/IRJ.12115
Remittances and Happiness of Migrants and Their Home Households: Evidence Using Matched Samples
Publisher: Informa UK Limited
Date: 31-05-2017
Untangling supply and demand in occupational choice
Publisher: Elsevier BV
Date: 05-2008
Identifying Price Reviews by Firms: An Econometric Approach
Publisher: Wiley
Date: 03-12-2019
DOI: 10.1111/JMCB.12675
Migration flows in commodity cycles: Assessing the role of migration policies
Publisher: Elsevier BV
Date: 08-2020
The effect of inflation on growth
Publisher: Wiley
Date: 13-08-2010
Risk preference and employment contract type
Publisher: Oxford University Press (OUP)
Date: 16-05-2006
DOI: 10.1111/J.1467-985X.2006.00424.X
Abstract: We explore the possibility that a systematic relationship exists between employment within a particular type of contract and risk preference. We exploit a set of proxies for risk preference, whereby some of the proxies capture risk loving behaviour (expenditure on gambling, smoking and alcohol) whereas others capture risk averse behaviour (expenditure on life and contents insurance, and unearned income). The empirical analysis, based on pooled cross-section data from the UK Family Expenditure Survey, 1997–2000, provides evidence of a systematic relationship between employment contract type and risk preference, with, for ex le, self-employed workers being more or less likely to engage in the consumption of ‘risky’ or financial security products respectively. The results are based on the ordered generalized extreme value model, a relatively infrequently used discrete choice model, which allows for ordering and correlation in the alternatives observed.
A time-duration measure of continuity of care to optimise utilisation of primary health care: A threshold effects approach among people with diabetes
Publisher: Springer Science and Business Media LLC
Date: 02-05-2019
Modelling financial satisfaction across life stages: A latent class approach
Publisher: Elsevier BV
Date: 12-2014
A latent class model for obesity
Publisher: Elsevier BV
Date: 04-2014
Regularity of contact with general practitioners and diabetes-related hospitalisation through a period of policy change: A retrospective cohort study
Publisher: SAGE Publications
Date: 19-06-2022
DOI: 10.1177/09514848211020866
Abstract: This study evaluated changes in regularity of general practitioner (GP) contact (the pattern of visits over time) and the impact of regularity on diabetes-related hospitalisation following introduction of care co-ordination incentives. Linked primary care, hospital and death records covered West Australian adults from 1991–2004. Different eras were evaluated based on incentive program changes and model fit, to assess changes in regularity. Changes in regularity, derived from the variance in the number of days between GP contacts, were evaluated using ordered logistic regression. The impact of regularity on hospitalisation rates and costs were evaluated. Two eras prior to program introduction (1991/92–1994/9 and 1995/96–1998/99), and one after (1999/2000–2002/03) were assessed. Among 153,455 at risk of diabetes-related hospitalisation GP contact became slightly less regular in the second era, though there was no change from the second to third era. The most regular decile had 5.5% fewer hospitalisations (95% CI -0.9% to -9.9%) and lower per-patient costs (difference AU$115, CI -$63 to -$167) than the least regular. Associations were similar in each era. Ongoing relationships between GPs and patients are important to maintaining health. Historical data provide the opportunity to assess the impact of care co-ordination incentives on relationships.
Modeling the incidence of self-employment: Individual and employment type heterogeneity
Publisher: Wiley
Date: 12-09-2011
Multimorbidity is common among young workers and related to increased work absenteeism and presenteeism: results from the population-based Raine Study cohort.
Publisher: Scandinavian Journal of Work, Environment and Health
Date: 03-2019
DOI: 10.5271/SJWEH.3858
Abstract: Objectives This study aimed to determine the extent of both multimorbidity and work productivity loss among young adults with paid work and to analyze their association. Methods We included 604 participants from a follow-up of the Raine Study that comprised a cohort who were 22 years at the time (Gen2-22). Information on 36 health conditions, grouped into 10 condition categories, was collected through questionnaires and physical assessments (for body mass index only). Quarterly questionnaires about work productivity, including total absenteeism, sickness absenteeism, and total presenteeism, were distributed electronically over the subsequent 12 months. Descriptive statistics were used to determine the prevalence of health conditions, condition categories, multimorbidity, and work productivity. Zero-inflated negative binomial regression analyses were used to assess the association of multimorbidity with productivity loss. Results Multimorbidity prevalence was substantially higher in females (63%) compared to males (41%). Productivity loss increased as the number of condition categories increased. For ex le, total absenteeism was associated with an increase in the number of health condition categories in males [incidence rate ratio (IRR) 1.20, 95% confidence interval (CI) 1.05-1.36] and females (IRR 1.13, 95% CI 1.04-1.24). Similar results were found for sickness absenteeism and presenteeism. The highest burden of productivity loss was found for musculoskeletal disorders (42 444 hours/1000 workers/year), sleep problems (33 581 hours/1000 workers/year), mental and neurological conditions (15 650 hours/1000 workers/year), and 'other' medical conditions (22 519 hours/1000 workers/year). Conclusions Multimorbidity appears to be highly prevalent among young adults with paid work and is strongly related to work productivity loss. Therefore, young workers should be targeted in interventions aiming to reduce multimorbidity and its impact on work productivity.
Some Stylized Facts about International Trade Flows
Publisher: Wiley
Date: 23-08-2012
'A pack a day for 20 years': Smoking and cigarette pack sizes
Publisher: Informa UK Limited
Date: 08-2011
Mental health, reporting bias and economic transitions
Publisher: Oxford University Press (OUP)
Date: 18-05-2022
DOI: 10.1093/OEP/GPAB005
Abstract: Measures of mental health are heavily relied upon to identify at-risk in iduals. However, self-reported mental health metrics might be unduly affected by mis-reporting (perhaps stemming from stigma effects). In this article, we consider this phenomenon by focusing upon the mis-reporting of mental health using UK panel data from 1991 to 2018. In separate analyses of males and females, we examine how inaccurate reporting of the General Health Questionnaire (GHQ-12) measure, specifically its sub-components, can adversely affect the distribution of the index. The analysis suggests that in iduals typically over report their mental health (especially so for males). The results are then used to adjust the GHQ-12 score to take mis-reporting into account. We then compare the effects of the adjusted/unadjusted GHQ-12 index when modelling a number of important economic transitions. Using the original index typically leads to an underestimate of the effect of poor mental health on transitions into improved economic states, for ex le, unemployment to employment.
The effect of inflation on growth
Publisher: Wiley
Date: 13-08-2010
Being in the right place: A natural field experiment on the causes of position effects in individual choice
Publisher: Elsevier BV
Date: 02-2022
Specification and testing of hierarchical ordered response models with anchoring vignettes
Publisher: Oxford University Press (OUP)
Date: 12-11-2021
DOI: 10.1111/RSSA.12612
Abstract: Collection and analysis of self-reported information on an ordered Likert scale is ubiquitous across the social sciences. Inference from such analyses is valid where the response scale employed means the same thing to all in iduals. That is, if there is no differential item functioning (DIF) present in the data. A priori this is unlikely to hold across all in iduals and cohorts in any s le of data. For this reason, anchoring vignettes have been proposed as a way to correct for DIF when in iduals self-assess their health (or well-being, or satisfaction levels, or disability levels, etc.) on an ordered categorical scale. Using an ex le of self-assessed pain, we illustrate the use of vignettes to adjust for DIF using the compound hierarchical ordered probit model (CHOPIT). The validity of this approach relies on the two underlying assumptions of response consistency (RC) and vignette equivalence (VE). Using a minor amendment to the specification of the standard CHOPIT model, we develop easy-to-implement score tests of the null hypothesis of RC and VE both separately and jointly. Monte Carlo simulations show that the tests have good size and power properties in finite s les. We illustrate the use of the tests by applying them to our empirical ex le. The tests should aid more robust analyses of self-reported survey outcomes collected alongside anchoring vignettes.
A decade of dissent: Explaining the dissent voting behavior of Bank of England MPC members
Publisher: Springer Science and Business Media LLC
Date: 29-01-2011
The importance of historical residential address information in longitudinal studies using administrative health data
Publisher: Oxford University Press (OUP)
Date: 18-08-2017
DOI: 10.1093/IJE/DYX156
Abstract: When information on changes in address or migration of people to or from a study jurisdiction is unavailable in longitudinal studies, issues relating to loss-to-follow-up and misclassification bias may result. This study investigated how estimations of associations between general practitioner (GP) contact and hospital use were affected by incomplete address and migration data. This was a retrospective population-based cohort study of Western Australians from 1990 to 2004. Linked administrative data including mortality records, hospital admissions, primary care and Electoral Roll records were used. Regularity of GP contact, based on the variance of the number of days between GP visits, was calculated for each person-year. Outcomes were the number and costs (A$2014) of diabetes-related hospital admissions in the following year. Models were estimated separately for cohorts where (i) postcode was ascertained at study commencement and held constant, and (ii) postcode and residency within Western Australia were updated with each change of address recorded on the Electoral Roll over the study period. Updating address data reduced total person-years by 11% and changed the distribution of covariates. Estimations of associations between patterns of GP contact and number of hospitalizations changed the incidence rate ratios measuring the relationship with the most regular GP contact (baseline of those with <2 GP visits) changed from 0.81 [95% confidence interval (CI) 0.66-1.00] to 0.42 (95% CI 0.33-0.53) after updating postcode information. Impacts on cost models were smaller, though still statistically significant. Longitudinal studies using administrative data may report biased results if they ignore address changes and migration. Researchers should attempt to link to these data wherever possible, or choose study designs which these issues are less likely to affect. Custodians should be aware that such data can be vital to high quality research.
Identifying patterns of general practitioner service utilisation and their relationship with potentially preventable hospitalisations in people with diabetes: The utility of a cluster analysis approach
Publisher: Elsevier BV
Date: 04-2018
DOI: 10.1016/J.DIABRES.2018.01.027
Abstract: We aimed to characterise use of general practitioners (GP) simultaneously across multiple attributes in people with diabetes and examine its impact on diabetes related potentially preventable hospitalisations (PPHs). Five-years of panel data from 40,625 adults with diabetes were sourced from Western Australian administrative health records. Cluster analysis (CA) was used to group in iduals with similar patterns of GP utilisation characterised by frequency and recency of services. The relationship between GP utilisation cluster and the risk of PPHs was examined using multivariable random-effects negative binomial regression. CA categorised GP utilisation into three clusters: moderate high and very high usage, having distinct patient characteristics. After adjusting for potential confounders, the rate of PPHs was significantly lower across all GP usage clusters compared with those with no GP usage IRR = 0.67 (95%CI: 0.62-0.71) among the moderate, IRR = 0.70 (95%CI 0.66-0.73) high and IRR = 0.76 (95%CI 0.72-0.80) very high GP usage clusters. Combination of temporal factors with measures of frequency of use of GP services revealed patterns of primary health care utilisation associated with different underlying patient characteristics. Incorporation of multiple attributes, that go beyond frequency-based approaches may better characterise the complex relationship between use of GP services and diabetes-related hospitalisation.
Relationships Between Health Promoting Activities, Life Satisfaction, and Depressive Symptoms in Unemployed Individuals
Publisher: Hogrefe Publishing Group
Date: 2020
DOI: 10.1027/2512-8442/A000058
Abstract: Abstract. Background: Previous research has documented that unemployed in iduals who engage in recreational activities, either alone or with others, experience higher levels of mental health and psychological well-being relative to those who do not engage in recreational activities. Aims: In this study, we examined whether engagement in health promoting activities, alone or with other family members, is associated with reduced levels of depression and enhanced levels of life satisfaction in unemployed in iduals. Method: We employed a cross-sectional design in which we measured life satisfaction, depressive symptoms, consumption of healthy meals and engagement in physical activities in 203 unemployed in iduals (male = 90, female = 113, age= 33.79, SD = 11.16). Results: Independent of age, gender, and partner employment status, hierarchical regression analyses revealed statistically significant effects for social forms of healthy eating (consumption of healthy meals with others) and solitary forms of physical activity (exercising alone) on depressive symptoms and life satisfaction. Limitations: The research design was cross-sectional using self-report questionnaires. The present study does not to explain why and how health promoting activities enhance well-being outcomes among the unemployed. Conclusions: These findings highlight the importance of measuring engagement in health promoting activities through separate constructs that capture engagement in social and solitary health promoting activities and suggest that unemployed in iduals are likely to experience optimal levels of psychological well-being if they exercise alone and consume healthy meals with other family members.
Household portfolio allocation, uncertainty, and risk
Publisher: Elsevier BV
Date: 09-2021
Modelling charitable donations to an unexpected natural disaster: Evidence from the U.S. Panel Study of Income Dynamics
Publisher: Elsevier BV
Date: 09-2012
Adolescent spinal pain-related absenteeism as an antecedent for early adulthood work presenteeism
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 13-10-2020
DOI: 10.1097/JOM.0000000000002045
Abstract: This study investigated spinal pain-related absenteeism at age 17 as a potential precursor to work presenteeism at age 23. A longitudinal study was performed with Raine Study Gen2 participants ( n = 451). Spinal pain-related absenteeism from school/work was collected at the 17 year follow-up. Presenteeism (due to ill-health or any other reason) was collected quarterly during one year around the age of 23. Zero-inflated binominal regression analysis was conducted. Participants with adolescent spinal pain-related absenteeism reported higher work presenteeism in early adulthood than those without pain (155.7 h/y compared to 77.7 h/y), with an incident rate ratio (95% confidence interval) of 1.41 (1.04 to 1.92) after adjusting for sex, occupational class and multimorbidity count. Targeting factors associated with absenteeism behaviours during early life may have significant benefits for future work productivity.
Ageing Workforces, Ill-health and Multi-state Labour Market Transitions
Publisher: Wiley
Date: 08-2020
DOI: 10.1111/OBES.12379
The importance of historical residential address information in longitudinal studies using administrative health data
Publisher: Oxford University Press (OUP)
Date: 18-08-2017
DOI: 10.1093/IJE/DYX156
Abstract: When information on changes in address or migration of people to or from a study jurisdiction is unavailable in longitudinal studies, issues relating to loss-to-follow-up and misclassification bias may result. This study investigated how estimations of associations between general practitioner (GP) contact and hospital use were affected by incomplete address and migration data. This was a retrospective population-based cohort study of Western Australians from 1990 to 2004. Linked administrative data including mortality records, hospital admissions, primary care and Electoral Roll records were used. Regularity of GP contact, based on the variance of the number of days between GP visits, was calculated for each person-year. Outcomes were the number and costs (A$2014) of diabetes-related hospital admissions in the following year. Models were estimated separately for cohorts where (i) postcode was ascertained at study commencement and held constant, and (ii) postcode and residency within Western Australia were updated with each change of address recorded on the Electoral Roll over the study period. Updating address data reduced total person-years by 11% and changed the distribution of covariates. Estimations of associations between patterns of GP contact and number of hospitalizations changed the incidence rate ratios measuring the relationship with the most regular GP contact (baseline of those with <2 GP visits) changed from 0.81 [95% confidence interval (CI) 0.66-1.00] to 0.42 (95% CI 0.33-0.53) after updating postcode information. Impacts on cost models were smaller, though still statistically significant. Longitudinal studies using administrative data may report biased results if they ignore address changes and migration. Researchers should attempt to link to these data wherever possible, or choose study designs which these issues are less likely to affect. Custodians should be aware that such data can be vital to high quality research.
A zero-inflated ordered probit model, with an application to modelling tobacco consumption
Publisher: Elsevier BV
Date: 12-2007
Threshold effects in nonlinear models with an application to the social capital-retirement-health relationship
Publisher: Wiley
Date: 22-07-2014
DOI: 10.1002/HEC.3088
Abstract: This paper considers the relationship between social capital and health in the years before, at and after retirement. This adds to the current literature that only investigates this relationship in either the population as a whole or two subpopulations, pre-retirement and post-retirement. We now investigate if there are further additional subpopulations in the years to and from retirement. We take an information criteria approach to select the optimal model of subpopulations from a full range of potential models. This approach is similar to that proposed for linear models. Our contribution is to show how this may also be applied to nonlinear models and without the need for estimating subsequent subpopulations conditional on previous fixed subpopulations. Our main finding is that the association of social capital with health diminishes at retirement, and this decreases further 10 years after retirement. We find a strong positive significant association of social capital with health, although this turns negative after 20 years, indicating potential unobserved heterogeneity. The types of social capital may differ in later years (e.g., less volunteering) and hence overall social capital may have less of an influence on health in later years.
Modelling the probability of youth unemployment in Australia
Publisher: Wiley
Date: 06-1996
Association between continuity of provider-adjusted regularity of general practitioner contact and unplanned diabetes-related hospitalisation: a data linkage study in New South Wales, Australia, using
Publisher: BMJ
Date: 06-2019
DOI: 10.1136/BMJOPEN-2018-027158
Abstract: To assess the association between continuity of provider-adjusted regularity of general practitioner (GP) contact and unplanned diabetes-related hospitalisation or emergency department (ED) presentation. Cross-sectional study. In idual-level linked self-report and administrative health service data from New South Wales, Australia. 27 409 survey respondents aged ≥45 years with a prior history of diabetes and at least three GP contacts between 1 July 2009 and 30 June 2015. Unplanned diabetes-related hospitalisations or ED presentations, associated costs and bed days. Twenty-one per cent of respondents had an unplanned diabetes-related hospitalisation or ED presentation. Increasing regularity of GP contact was associated with a lower probability of hospitalisation or ED presentation (19.9% for highest quintile, 23.5% for the lowest quintile). Conditional on having an event, there was a small decrease in the number of hospitalisations or ED presentations for the low (−6%) and moderate regularity quintiles (−8%), a reduction in bed days (ranging from −30 to −44%) and a reduction in average cost of between −23% and −41%, all relative to the lowest quintile. When probability of diabetes-related hospitalisation or ED presentation was included, only the inverse association with cost remained significant (mean of $A3798 to $A6350 less per in idual, compared with the lowest regularity quintile). Importantly, continuity of provider did not significantly modify the effect of GP regularity for any outcome. Higher regularity of GP contact—that is more evenly dispersed, not necessarily more frequent care—has the potential to reduce secondary healthcare costs and, conditional on having an event, the time spent in hospital, irrespective of continuity of provider. These findings argue for the advocacy of regular care, as distinct from solely continuity of provider, when designing policy and financial incentives for GP-led primary care.
A Monte Carlo study of tests for the independence of irrelevant alternatives property
Publisher: Elsevier BV
Date: 02-1996
The dogit ordered generalized extreme value model
Publisher: Wiley
Date: 12-2005
Reporting heterogeneity in modeling self-assessed survey outcomes
Publisher: Elsevier BV
Date: 07-2023
Modelling illegal drug participation
Publisher: Oxford University Press (OUP)
Date: 14-11-2018
DOI: 10.1111/RSSA.12252
Abstract: We contribute to the small, but important, literature exploring the incidence and implications of misreporting in survey data. Specifically, when modelling ‘social bads’, such as illegal drug consumption, researchers are often faced with exceptionally low reported participation rates. We propose a modelling framework where firstly an in idual decides whether to participate or not and, secondly, for participants there is a subsequent decision to misreport or not. We explore misreporting in the context of the consumption of a system of drugs and specify a multivariate inflated probit model. Compared with observed participation rates of 12.2%, 3.2% and 1.3% (for use of marijuana, speed and cocaine respectively) the true participation rates are estimated to be almost double for marijuana (23%), and more than double for speed (8%) and cocaine (5%). The estimated chances that a user would misreport their participation is a staggering 65% for a hard drug like cocaine, and still about 31% and 17%, for the softer drugs of marijuana and speed.
Neighbourhood Measures: Quantifying the Effects of Neighbourhood Externalities
Publisher: Wiley
Date: 03-2008
An inverse hyperbolic sine heteroskedastic latent class panel tobit model: An application to modelling charitable donations
Publisher: Elsevier BV
Date: 11-2015
Relationship lending: A source of support or a means of exploitation?
Publisher: Elsevier BV
Date: 05-2021
Employee turnover: Less is not necessarily more?
Publisher: Elsevier
Date: 2006
The association of adolescent spinal-pain-related absenteeism with early adulthood work absenteeism: A six-year follow-up data from a population-based cohort
Publisher: Scandinavian Journal of Work, Environment and Health
Date: 11-06-2018
DOI: 10.5271/SJWEH.3744
Abstract: Objectives Spinal (ie, back and neck) pain often develops as early as during adolescence and can set a trajectory for later life. However, whether early-life spinal-pain-related behavioral responses of missing school/work are predictive of future work absenteeism is yet unknown. We assessed the association of adolescent spinal-pain-related work or school absenteeism with early adulthood work absenteeism in a prospective population-based cohort. Methods Six year follow-up data from the Western Australian Pregnancy Cohort (Raine) study were used (N=476 with a 54% response rate). At age 17, participants reported spinal pain (using the Nordic questionnaire) and adolescent spinal-pain-related work/school absenteeism (with a single item question). Annual total and health-related work absenteeism was assessed with the Health and Work Performance questionnaire distributed in four quarterly text messages during the 23rd year of age. We modelled the association of adolescent spinal-pain-related absenteeism with work absenteeism during early adulthood, using negative binomial regression adjusting for sex, occupation and comorbidities. Results Participants with adolescent low-back or neck pain with work/school absenteeism reported higher total work absenteeism in early adulthood [148.7, standard deviation (SD) 243.4 hours/year], than those without pain [43.7 (SD 95.2) hours/year) incidence rate ratio 3.4 (95% CI 1.2-9.2)]. Comparable findings were found when considering low-back and neck separately, and when considering health-related absenteeism. Conclusions We found a more than three-fold higher risk of work absenteeism in early adulthood among those with adolescent spinal-pain-related absenteeism, compared to those without. These findings suggest that, to keep a sustainable workforce, pain prevention and management should focus on pain-related behaviors as early as in adolescence.
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University Of Sussex
Location: United Kingdom of Great Britain and Northern Ireland
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