2013
DOI: 10.1186/2193-9020-2-5
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Gender differences in earnings and labor supply in early career: evidence from Kosovo’s school-to-work transition survey

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Cited by 11 publications
(23 citation statements)
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“…The average returns to extra year of experience which are significant for both males and females but are higher for females (9.2% & 7.3%) as compared to men (5.7% & 5.3%) in both specifications education years and education dummies. The coefficient of experience square is negative in the earning functions for both males and females (Table 4), which exhibits concavity of the earning functions and decreasing returns to the investment in human capital (Pastore, et al, 2013).…”
Section: Findings and Discussionmentioning
confidence: 99%
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“…The average returns to extra year of experience which are significant for both males and females but are higher for females (9.2% & 7.3%) as compared to men (5.7% & 5.3%) in both specifications education years and education dummies. The coefficient of experience square is negative in the earning functions for both males and females (Table 4), which exhibits concavity of the earning functions and decreasing returns to the investment in human capital (Pastore, et al, 2013).…”
Section: Findings and Discussionmentioning
confidence: 99%
“…The returns to human capital and gender earning gaps can be estimated by following Mincerian approach as baseline framework (Pastore, Sattar, & Tiongson, 2013). According to Montenegro & Patrinos (2014), Mincerian model produce more stable results than one can expect.…”
Section: Methodsmentioning
confidence: 99%
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“…When it comes to jobseekers in Kosovo, and those that are employed, Men and women use slightly different search methods to find jobs. According to (Pastore et al 2013) young men and women, the vast majority of young people (53.5%) rely on their network of family and friends. Direct contacts with prospective employers (19.8%) and answering advertisements (15.0%) are the second largest methods of job search.…”
Section: Employment Job Creation and Vocational Trainingmentioning
confidence: 99%
“…Although the inclusion of occupation and other job characteristics as explanatory variables in earnings functions is extremely common (recent examples are Christofides andMichael 2013, andPastore et al 2013), it has been noted by many researchers that this gives rise to endogeneity bias because job outcomes depend on the decisions of workers and employers (see, for example, Beblo et al 2003a, b). Thus, in the second approach, we carry out an analysis of occupational attainment and estimate withinoccupation earnings functions to partially address the concern about endogeneity.…”
Section: Introductionmentioning
confidence: 99%