2013
DOI: 10.1111/labr.12023
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The Implications of Temporary Jobs on the Distribution of Wages in Italy: An Unconditional IVQTE Approach

Abstract: Using Italian data, this paper investigates the wage implications of temporary jobs across the whole pay profile using unconditional quantile regression (UQR) models. Results clearly indicate that the wage penalty associated to temporary jobs is significantly larger at the bottom of wage profile and is almost absent for high-wage jobs. This is in line with the sticky floors hypothesis, supporting the idea that the wage gap for temporary employees depends on their position in the wage distribution for low-paid … Show more

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Cited by 33 publications
(39 citation statements)
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“…A major shortcoming of previous Australian studies is that they are focussed on the mean of the wage distribution. Evidence from other countries, however, tells us that the wage effects of temporary employment may differ between low‐ and high‐paid workers (Bosio , ; Comi and Grasseni ; Mertens et al. ; Mertens and McGinnity ; Santangelo ).…”
Section: State Of Researchmentioning
confidence: 99%
“…A major shortcoming of previous Australian studies is that they are focussed on the mean of the wage distribution. Evidence from other countries, however, tells us that the wage effects of temporary employment may differ between low‐ and high‐paid workers (Bosio , ; Comi and Grasseni ; Mertens et al. ; Mertens and McGinnity ; Santangelo ).…”
Section: State Of Researchmentioning
confidence: 99%
“…It has also been used in several other studies examining wage gaps in Italian labor markets (Picchio 2006;Bosio 2014). γ vector includes variables looking at job search while being employed that are not part of the wage equation.…”
Section: A Data and Descriptive Statisticsmentioning
confidence: 99%
“…This variable is constructed with the idea that employed temporary workers are more likely to be searching for jobs in comparison to employed permanent workers. It has also been used in several other studies examining wage gaps in Italian labor markets (Picchio 2006;Bosio 2014). In the second step, we calculate the inverse Mill's ratio from the above equation and use it as a variable in equation (1).…”
Section: A Data and Descriptive Statisticsmentioning
confidence: 99%
See 1 more Smart Citation
“…Empirical results typically document a significant wage gap between employees with FTCs and permanent contracts (PCs). This gap has been attributed to substantial heterogeneity across jobs and/or individuals (Bosio 2014;Brown and Sessions 2003;Comi and Grasseni 2012;De la Rica 2004). Yet a significant fraction remains unexplained after controlling for observable heterogeneity.…”
Section: How Do Ftcs Affect Wages?mentioning
confidence: 99%