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2023 - n° 157

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.  

Angelo Lorenti; Jessica Nisen; Letizia Mencarini; Mikko Myrskylä
2023 - n° 156

It is widely acknowledged that the quest for social status can result in an inefficient consumption ”rat-race” and the existing literature has discussed how taxes can mitigate the associated externalities. We suggest a new reason to tax conspicuous consumption. Our paper highlights that taxing status goods can achieve a more equitable distribution of welfare by compressing the status distribution. By curbing the conspicuous consumption of the wealthy, the government renders signaling less informative and increases the share of the social status surplus derived by the less wealthy. This ”status channel” serves as a complement to traditional monetary channels of redistribution.

Spencer Bastani; Tomer Blumkin; Luca Micheletto
Keywords: Optimal taxation, Signaling, Status
2008 - n° 6
Propensity Score Matching (PSM) has become a popular approach to estimation of causal effects. It relies on the assumption that selection into a treatment can be explained purely in terms of observable characteristics (the unconfoundedness assumption) and on the property that balancing on the propensity score is equivalent to balancing on the observed covariates. Several applications in social sciences are characterized by a hierarchical structure of data: units at the first level (e.g., individuals) clustered into groups (e.g., provinces). In this paper we explore the use of multilevel models for the estimation of the propensity score for such hierarchical data when one or more relevant cluster-level variables is unobserved. We compare this approach with alternative ones, like a single level model with cluster dummies. By using Monte Carlo evidence we show that multilevel specifications usually achieve reasonably good balancing in cluster level unobserved covariates and consequently reduce the omitted variable bias. This is also the case for the dummy model.
Bruno Arpino, Fabrizia Mealli
Keywords: propensity score,multilevel studies,unconfoundedness,causal inference
2022 - n° 154

We study the joint design of nonlinear income and education taxes when the government pursues redistributive objectives. A key feature of our setup is that the ability type of an agent can affect both the costs and benefits of acquiring education. Market remuneration of agents depends on both their innate ability type and their educational choices. Our focus is on the properties of constrained efficient allocations when educational choices are publicly observable at the individual level, but earned income is subject to misreporting. We find that income-misreporting (IM) affects the optimal distortions on income and education and shed light on the reasons for it and mechanisms through which it is done. We show how and why IM strengthens the case for downward distorting the educational choices of low-ability agents. Finally, we find that IM provides another mechanism that makes commodity taxation useful.

Spencer Bastani, Firouz Gahvariy, Luca Micheletto
Keywords: Optimal taxation; education; human capital; income-misreporting; redistribution.
2022 - n° 153

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.

Tommaso Giommoni, Enrico Rubolino
Keywords: Gender norms, gender inequality, spouse tax credit, income taxation.
Mária Hidvégi is a research fellow (AdR) in the ERC Horizon 2020 project SpoilsofWAR, which investigates the economic consequences of World War I in Central Europe. She received her PhD in Comparative Cultural and Social History from the University o ...
Laura Bondi is a postdoctoral research associate at the MRC Biostatistics Unit at the University of Cambridge, UK. Previously, she completed her PhD in Statistics at Bocconi University. Her research focuses on developing statistical methodology to so ...