BackgroundThe considerable increase of non-standard labor contracts, unemployment and inactivity rates raises the question of whether job insecurity and the lack of job opportunities affect physical and mental well-being differently from being employed with an open-ended contract. In this paper we offer evidence on the relationship between self-reported health and the employment status in Italy using the Survey on Household Income and Wealth (SHIW); another aim is to investigate whether these potential inequalities have changed with the recent economic downturn (time period 2006-2010).MethodsWe estimate an ordered logit model with self-reported health status (SRHS) as response variable based on a fixed-effects approach which has certain advantages with respect to the random-effects formulation: the fixed-effects nature of the model also allows us to solve the problems of incidental parameters and non-random selection of individuals into different labor market categories.ResultsWe find that temporary workers, first-job seekers and unemployed individuals are worse off than permanent employees, especially males, young workers, and those living in the center and south of Italy.ConclusionHealth inequalities between permanent workers and job seekers widen over time for male and young workers, and arise in the north of the country as well.

Summary We study the effect of childbirth and birth timing on female labor market outcomes in Italy. The impact is traced up to 21 years since school completion by estimating a factor analytic model with dynamic selection into treatments. We find that childbirth, especially the first delivery, negatively affects female earnings and participation. Women having their first child soon after school exit catch up with childless women after 12–15 years. The negative consequences are smaller if the first child is delayed up to 7–9 years after school completion or if a second childbirth occurs within 6 years since school exit.

Purpose The purpose of this paper is to investigate the determinants of the probability of being a teleworker and the extent of earnings differentials between teleworkers and traditional employees. Design/methodology/approach The analysis is grounded on a theoretical framework depicting endogenous telework assignment and wage variations based on individual bargaining. The empirical strategy allows for non-random telework assignment, generating from individual- and job-specific observed as well as unobserved factors. Findings Results are based on the Italian labor force survey and uncover a key role of gender, higher education and family composition as determinants of the probability of teleworking. Furthermore, teleworkers enjoy a wage premium ranging between 2.7 and 8 percent. Originality/value Accounting for observed individual and job-specific effects, by both standard linear regression and propensity score matching, largely reduces the extent of wage premium emerging from unconditional descriptives; the results of an endogenous switching regression model however suggest that failing to properly care for unobserved factors leads to the underestimation of returns to telework.

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