What is he best known for?
The fields of study he is best known for:
- Law
- World War II
- Social science
His primary scientific interests are in Demographic economics, Labour economics, Business economics, Hilda survey and Life satisfaction.
His Demographic economics research integrates issues from Data collection, Occupational prestige, Job satisfaction, Impact factor and Poverty.
His Labour economics study incorporates themes from Panel data, Workforce, Income distribution, Earnings and Job security.
The various areas that Mark Wooden examines in his Panel data study include Productivity and Consumption.
The concepts of his Hilda survey study are interwoven with issues in Economic growth and Demography.
His research integrates issues of Mental health, Well-being and Subjective well-being, Happiness in his study of Life satisfaction.
His most cited work include:
- The Household, Income and Labour Dynamics in Australia (HILDA)Survey: Wave 1 (219 citations)
- The HILDA Survey: a case study in the design and development of a successful household panel study (180 citations)
- The HILDA Survey and its Contribution to Economic and Social Research (So Far) (175 citations)
What are the main themes of his work throughout his whole career to date?
Mark Wooden mainly investigates Demographic economics, Labour economics, Hilda survey, Business economics and Panel data.
Mark Wooden interconnects Life satisfaction, Mental health and Casual in the investigation of issues within Demographic economics.
His Life satisfaction study combines topics in areas such as Structural equation modeling and Subjective well-being, Happiness.
The study incorporates disciplines such as Educational attainment, Job satisfaction, Permanent employment and Agency in addition to Casual.
His work in the fields of Labour economics, such as Wage, intersects with other areas such as Working hours.
His Hilda survey research is multidisciplinary, relying on both Test, Demography and Survey data collection.
He most often published in these fields:
- Demographic economics (36.15%)
- Labour economics (36.15%)
- Hilda survey (26.92%)
What were the highlights of his more recent work (between 2013-2021)?
- Demographic economics (36.15%)
- Casual (13.85%)
- Panel data (14.62%)
In recent papers he was focusing on the following fields of study:
Mark Wooden mostly deals with Demographic economics, Casual, Panel data, Mental health and Hilda survey.
His Demographic economics research incorporates themes from Earnings and Social mobility.
His studies deal with areas such as Multinomial logistic regression, Preference and Market states as well as Panel data.
His biological study spans a wide range of topics, including Gerontology, Absenteeism, Bodily pain, Working time and Demography.
He has included themes like Job loss and Involuntary job loss in his Hilda survey study.
Mark Wooden performs multidisciplinary studies into Business economics and Labour economics in his work.
Between 2013 and 2021, his most popular works were:
- A demonstration of set-points for subjective wellbeing. (91 citations)
- What's the good of education on our overall quality of life?: a simultaneous equation model of education and life satisfaction for Australia (46 citations)
- Two Decades of Change: The Australian Labour Market, 1993–2013 (37 citations)
In his most recent research, the most cited papers focused on:
- Law
- World War II
- Social science
His scientific interests lie mostly in Business economics, Panel data, Demographic economics, Labour economics and Casual.
His study focuses on the intersection of Panel data and fields such as Mental health with connections in the field of Involuntary job loss, Job loss, Absenteeism, Unemployment and Demography.
Mark Wooden studies Demographic economics, namely Hilda survey.
His Hilda survey research includes elements of Full-time, Job quality and Contingent employment.
His studies in Labour economics integrate themes in fields like Earnings and Mental illness.
His Casual study integrates concerns from other disciplines, such as Permanent employment, Wage, Agency, Ordered logit and Selection bias.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
