Working papers results

Women’s labor force participation has increased remarkably in western countries, but important gender gaps still remain, especially among parents. This paper uses a novel comparative perspective assessing women’s and men’s mid-life employment trajectories by parity and education. We provide new insight into the gendered parenthood penalty by analyzing the long-term implications, beyond the core childbearing ages by decomposing years lived between ages 40 to 74 into years in employment, inactivity, and retirement. We compare three countries with very different institutional settings and cultural norms: Finland, Italy, and the U.S. Our empirical approach uses the multistate incidence-based life table method. Our results document large cross-national variation, and the key role that education plays. In Finland years employed increase with parity for women and men and the gender gap is small; in the U.S. the relation between parity and years employed is relatively flat whereas among those with two or more children a gender gap emerges; and in Italy, years employed decreases sharply with parity for women, and increases for men. Education elevates years employed similarly for all groups in Finland; but in the U.S and Italy, highly educated mothers experience only half of the gender gap compared to low-educated mothers. The employment trajectories of childless women and men differ greatly across countries.  

State interventions to decrease the gender wage gap are often criticized for creating one-approach-forall which may be inappropriate for the specific difficulties faced by each sector and firm. In this paper, I study a unique policy where French firms were mandated by law to negotiate agreements on gender equality with union representatives. I estimate the causal effect of the signature of such agreements on the wage gap and other measures of gender inequalities. Using a unique combination of administrative datasets, I exploit the staggered signature of agreements over the 2010-2013 period and find that the law had an effect on the signature of those agreements but did not alter the gender wage gap nor many other outcomes reflecting gender inequalities. The absence of gender-related changes can plausibly be explained by the lack of obligation of result in the law and by the weak oversight of agreements’ content.

The standard model of household behavior predicts that couples cooperate to maximize family income. This paper shows that gender identity norms repre- sent an important friction preventing family income maximization. For identi- fication, we focus on an Italian policy that grants a large tax credit to the main earner in a couple when the second earner reports income below a cutoff. Using new tax returns data, we show large bunching responses at the tax credit cut- off from second earner women, but no response from second earner men. This result suggests that household decisions are not Pareto-efficient when men are the second earner within the couple. Gender differences in bunching mostly emerge after marriage and childbirth, and do not reflect any gender-specific dif- ference in scope for bunching. In support of the view that gender norms drive our results, we find that gender differences in bunching are relatively larger among immigrants coming from more conservative societies, and natives liv- ing in more gender-traditional municipalities. Additionally, these results have important implications for gender inequality: we show that the spouse tax credit persistently limits women’s careers and amplifies the gender income gap.

This study provides a review of the concept of family ties. It then measures family ties in an unprecedentedly all-encompassing way, accounting for the individual 
eterogeneity (by context, gender, education and age) that may affect them, looking at the patterns of variation among the different dimensions. Indeed, a large number of indicators have been used in the literature to measure family ties, but the inter-relation among their dimensions has rarely been explicitly taken into account. Furthermore, family ties have been assumed to be invariant among different individuals, without any formal test of this assumption. The analysis is based on Italian National Statistical Office (ISTAT) survey on family and social subjects (FFS 2016) on 24,753 individuals. A Structural Equation Model (SEM) is used to measure the different family tie dimensions and to test their invariance by individual characteristics. The results bring out seven dimensions of family ties. These dimensions are invariant by context and gender, but not by education and age. These findings offer a clear picture of the concept of family ties and show how this concept is differently perceived on the basis of some ascribed and some acquired personal characteristics.

The mounting evidence on the demographics of COVID-19 fatalities points to an overrepresentation of minorities and an underrepresentation of women. Using individual-level, race-disaggregated, and georeferenced death data collected by the Cook County Medical Examiner, we jointly investigate the racial and gendered impact of COVID-19, its timing, and its determinants. Through an event study approach we establish that Blacks individuals are affected earlier and more harshly and that the effect is driven by Black women. Rather than comorbidity or aging, the Black female bias is associated with poverty and channeled by occupational segregation in the health care and transportation sectors and by commuting on public transport. Living arrangements and lack of health insurance are instead found uninfluential. The Black female bias is spatially concentrated in neighborhoods that were subject to historical redlining.

Gender norms, i.e. the role of men and women in the society, are a fundamental channel through which culture may influence preferences for redistribution and public policies. We consider both cross-country and individual level evidence on this mechanism. We find that in countries that are historically more gender-equal the tax system today is more redistributive. At the individual level, we find that in more gender equal countries gender differences in redistributive preferences are significantly larger. This effect is driven by women becoming systematically more favorable to redistribution, while there are no significant changes for men. Interestingly, there is no gender-based difference in preferences for redistribution among left-leaning citizens, while this difference is significant among moderates in the expected direction: ideologically moderate women are more favorable to redistribution than moderate men, and this effect is even stronger among right-leaning individuals.

We develop a statistical discrimination model where groups of workers (males-females) differ in the observability of their productivity signals by the evaluation committee. We assume that the informativeness of the productivity signals depends on the match between the potential worker and the interviewer: when both parties have similar backgrounds, the signal is likely to be more informative. Under this “homo-accuracy” bias, the group that is most represented in the evaluation committee generates more accurate signals, and, consequently, has a greater incentive to invest in human capital. This generates a discrimination trap. If, for some exogenous reason, one group is initially poorly evaluated (less represented into the evaluation committee), this translates into lower investment in human capital of individuals of such group, which leads to lower representation in the evaluation committee in the future, generating a persistent discrimination process. We explore this dynamic process and show that quotas may be effective to deal with this discrimination trap. In particular, we show that introducing a “temporary” quota allows to reach a steady state equilibrium with a higher welfare than the one obtained in the decentralized equilibrium in which talented workers of the discriminated group decide not to invest in human capital. Finally, if the discriminated group is underrepresented in the worker population (race), restoring efficiency requires to implement a “permanent” system of quotas.

Does removing the constraints of time and place of work increase the utility of workers and firms? We design a randomized experiment on a sample of workers in a large Italian company: workers are randomly divided into a treated group that engages in flexible space and time job (which we call “smart-working”) one day per week for 9 months and a control group that continues to work traditionally. By comparing the treated and control workers, we find causal evidence that the flexibility of smart-working increases the productivity of workers and improves their well-being and work-life balance. We also observe that the effects are stronger for women and that there are no significant spillover effects within workers of a team.

Does the gender of the mayor affect the size and composition of public expenditures and revenues? Do male and female mayors react differently to fiscal adjustments? Using a fuzzy regression discontinuity design in close mixed gender races for the election of mayors in Italian municipalities in the period 2000-2015, we find that female mayors collect more revenues and spend more than male ones, both in the current and capital account. When constrained to fiscal adjustments by the central government, in a fuzzy difference-in-discontinuities design we find that female mayors reduce expenditures more than men.

This chapter reviews the growing body of research in economics which concentrates on the education gender gap and its evolution, over time and across countries. The survey first focuses on gender differentials in the historical period that roughly goes from 1850 to the 1940s and documents the deep determinants of the early phase of female education expansion, including preindustrial conditions, religion, and family and kinship patterns. Next, the survey describes the stylized facts of contemporaneous gender gaps in education, from the 1950s to the present day, accounting for several alternative measures of attainment and achievement and for geographic and temporal differentiations. The determinants of the gaps are then summarized, while keeping a strong emphasis on an historical perspective and disentangling factors related to the labor market, family formation, psychological elements, and societal cultural norms. A discussion follows of the implications of the education gender gap for multiple realms, from economic growth to family life, taking into account the potential for reverse causation. Special attention is devoted to the persistency of gender gaps in the STEM and economics fields.