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https://hdl.handle.net/10620/19232
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DC Field | Value | Language |
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dc.contributor.author | Diego, Machillanda Flechas | - |
dc.date.accessioned | 2024-07-14T23:44:04Z | - |
dc.date.available | 2024-07-14T23:44:04Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | https://hdl.handle.net/10620/19232 | - |
dc.description.abstract | This paper investigates gender and geographical differences in the factors associated with job-to-job mobility for the average Australian worker. Using a Generalised Estimating Equations approach and waves 11 to 21 of the Household, Income and Labour Dynamics in Australia (HILDA) survey, I estimate marginal models for workers’ probability of voluntary employer change, promotion, occupation change, and industry change. I find several but disparate gender differences, including in the effect associated with immigration from a nonEnglish speaking background, postgraduate education, and employment in genderconcentrated industries. I also find that household characteristics have limited associations with job-to-job mobility in general and that there are few geographical differences in the factors associated with mobility. These findings highlight the individual characteristics through which group differences in job-to-job mobility do and do not manifest, identifying areas for further research to understand the underlying causal mechanisms and inform targeted policy opportunities. | en |
dc.title | Gender and geographical differences in Australian job-to-job mobility | en |
dc.type | Theses and student dissertations | en |
dc.identifier.url | https://minerva-access.unimelb.edu.au/items/a4f88e9f-1fcc-4e4f-bdfb-3f75a1fb3fd8/ | en |
dc.identifier.url | https://rest.neptune-prod.its.unimelb.edu.au/server/api/core/bitstreams/4f9dead5-4ff8-4299-846f-96b48dd15c91/content | en |
dc.identifier.url | https://minerva-access.unimelb.edu.au/items/a4f88e9f-1fcc-4e4f-bdfb-3f75a1fb3fd8/full | en |
dc.identifier.survey | HILDA | en |
dc.description.institution | University of Melbourne | en |
dc.description.keywords | job mobility | en |
dc.description.keywords | gender | en |
dc.description.keywords | geography | en |
dc.description.keywords | generalised estimating equations | en |
dc.description.keywords | GEE | en |
dc.description.keywords | HILDA | en |
dc.description.keywords | demographics | en |
dc.description.keywords | demography | en |
dc.description.keywords | household | en |
dc.description.keywords | household characteristics | en |
dc.description.keywords | demographic characteristics | en |
dc.description.keywords | personal characteristics | en |
dc.description.keywords | education | en |
dc.description.keywords | bias | en |
dc.description.keywords | discrimination | en |
dc.description.keywords | female | en |
dc.description.keywords | gender discrimination | en |
dc.description.keywords | gender segregated | en |
dc.description.keywords | immigration | en |
dc.description.keywords | migration | en |
dc.description.keywords | labor mobility | en |
dc.description.keywords | labour mobility | en |
dc.description.keywords | rural | en |
dc.description.keywords | regional | en |
dc.description.keywords | urban | en |
dc.description.keywords | remote | en |
dc.description.keywords | regional economics | en |
dc.description.keywords | rural economics | en |
dc.description.keywords | career change | en |
dc.description.keywords | promotion | en |
dc.description.keywords | occupation change | en |
dc.description.keywords | occupational mobility | en |
dc.description.keywords | industry change | en |
dc.description.keywords | industry | en |
dc.description.keywords | occupation | en |
dc.description.keywords | employer change | en |
dc.description.keywords | voluntary | en |
dc.description.keywords | equality | en |
dc.description.keywords | inequality | en |
dc.description.keywords | disadvantage | en |
local.profile.orcid | 0009-0008-0192-6936 | en |
dc.identifier.department | Melbourne Institute of Applied Economic and Social Research | en |
local.identifier.email | diego.machillanda@alumni.unimelb.edu.au | en |
dc.identifier.email | Open Access | en |
dc.identifier.studenttype | Honours | en |
dc.subject.dss | Disadvantage, adversity and resilience | en |
dc.subject.dss | Families and relationships | en |
dc.subject.dss | Gender | en |
dc.subject.dss | Labour market | en |
dc.subject.dss | Learning, education and training | en |
item.grantfulltext | open | - |
item.openairetype | Theses and student dissertations | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Theses and student dissertations |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Gender_and_geographical_differences_in_Australian_job_to_job_mobility.pdf | Thesis full text | 695.46 kB | Adobe PDF | View/Open |
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