Publication:
Essays on the Australian labour market

dc.contributor.advisor Woodland, Alan Donald en_US
dc.contributor.author Parfinenko, Nina en_US
dc.date.accessioned 2022-03-15T11:44:05Z
dc.date.available 2022-03-15T11:44:05Z
dc.date.issued 2017 en_US
dc.description.abstract This Thesis empirically examines several aspects of the Australian labour market. Chapter 1 studies the effects of ethnic discrimination on females' employment. Most ethnic minorities experience employment gaps. However, these gaps can result from either employers' discrimination or from the employees' cultural norms towards market employment. Conventional measures of discrimination are likely to reflect the effects of both. Chapter 1 offers a novel differences-in-differences methodology that separates the effects of the employees' cultural norms from the employers' discrimination. Applied to the HILDA data this methodology reveals non-trivial effects of the cultural norms. Despite employment gaps for all ethnic minorities we find evidence of employers' discrimination only against Asians. Chapter 2 also studies employment status. It uses a mixture regression approach to identify the homogeneous groups in the sample. The two identified groups qualitatively differ with respect to how the characteristics affect the employment status of the respondents. The career-oriented group is more likely to work when married and when they have children. The family-oriented group, in contrast, is less likely to work in such circumstances. Education increases employment chances for the career-oriented, but has no effect on the family-oriented group. The (negative) effects of children on employment are three to five times larger for the family-oriented group than for average females. Roughly 40% of females sampled in HILDA wave 13 are family-oriented and need much stronger incentives to return to employment after childbearing than the conventional estimates would imply. Chapter 3 examines the determinants of the earnings losses of mothers. It studies whether the partial effects of children on mother's expected earnings can be explained by her human capital. The lifetime children effects are well explained by the (under-accumulated) experience of the mothers. In contrast, the human capital variables do not explain the partial effects of small children. Such effects, as we show, decrease with the mothers' education. We also construct earnings-age profiles for mothers and non-mothers aggregating the earnings gap along the profiles. Such measure of the loss also decreases with the mothers' education, but the marginal effects of children are not monotonic. The second child comes cheaper than the first, but the third one is more difficult than the second. en_US
dc.identifier.uri http://hdl.handle.net/1959.4/58681
dc.language English
dc.language.iso EN en_US
dc.publisher UNSW, Sydney en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.subject.other Ethnicity en_US
dc.subject.other Labour market en_US
dc.subject.other Discrimination en_US
dc.subject.other Sample heterogeneity en_US
dc.subject.other Mixture regression en_US
dc.subject.other Career oriented en_US
dc.subject.other Family oriented en_US
dc.subject.other Cultural norms en_US
dc.subject.other Earnings en_US
dc.subject.other Children effects en_US
dc.subject.other Motherhood penalty en_US
dc.title Essays on the Australian labour market en_US
dc.type Thesis en_US
dcterms.accessRights open access
dcterms.rightsHolder Parfinenko, Nina
dspace.entity.type Publication en_US
unsw.accessRights.uri https://purl.org/coar/access_right/c_abf2
unsw.date.embargo 2019-09-30 en_US
unsw.description.embargoNote Embargoed until 2019-09-30
unsw.identifier.doi https://doi.org/10.26190/unsworks/3284
unsw.relation.faculty Business
unsw.relation.originalPublicationAffiliation Parfinenko, Nina, Economics, Australian School of Business, UNSW en_US
unsw.relation.originalPublicationAffiliation Woodland, Alan Donald, Economics, Australian School of Business, UNSW en_US
unsw.relation.school School of Economics *
unsw.thesis.degreetype PhD Doctorate en_US
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