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ABSTRACT This paper reassesses the relationship between tax structure and long run income, using as indicators of tax structure both a new series of implicit tax rates based on Mendoza et al. (1997) and tax ratios, adopting a dynamic panel estimation strategy, and explicitly accounting for cross-section dependence in the panel. When implicit tax rates are used, the paper shows, the link between tax structure and long run income per capita is not robust to the adoption of different assumptions on observable and unobservable heterogeneity across countries. When tax ratios are used, there is some evidence of a negative impact of labour taxation on long run income, but this result is shown to capture non-fiscal effects coming from the evolution of the labour share. Turning to the short run, the research presented here finds strong evidence of a positive effect on per capita income of a tax shift from labour and capital taxation towards consumption taxation, which provides support for fiscal devaluations.

We analyze the relationship between natives' attitudes towards citizenship acquisition for foreigners and trust. Our hypothesis is that, in sub-Saharan Africa, the slave trade represents the deep factor behind contemporary attitudes toward citizenship, with more intense exposure to historical slave exports for an individual's ethnic group being associated with contemporary distrust for strangers, and in turn opposition to citizenship laws that favor the inclusion of foreigners. We find that individuals who are more trusting do show more positive attitudes towards the acquisition of citizenship at birth for children of foreigners, that these attitudes are also negatively related to the intensity of the slave trade, and that the underlying link between trust and the slave trade is confirmed. Alternative factors - conflict, kinship, and witchcraft beliefs - that, through trust, may affect attitudes toward citizenship, are not generating the same distinctive pattern of linkages emerging from the slave trade.

We develop a method for the derivation of expert-based stochastic population forecasts. The full probability distribution of forecasts is specified by expert opinions on future developments, elicited conditional on the realization of high, central, low scenarios. The procedure is applied to forecast the Italian population, using scenarios from the Italian National Statistical Office (ISTAT) and the Statistical Office of the European Union (EUROSTAT).

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.

This article analyzes social norms regulating selection of godparents in Italy and France and how they will be affected by demographic change. On the grounds of Vatican statistics and of the World Values Survey, it demonstrates that baptisms still occur for the vast majority of children in Catholic Europe and that birth rituals are considered important even by non-believers. Relying on historical data, it shows that the custom of selecting godparents from among kinsmen, currently dominant, is a recent development. A new survey about selection of godparents in Italy and France is used which shows that they are not chosen for religious, but for social-relational reasons. Selection of kinsmen is the norm, with uncles and aunts being the majority choice. For Italy, choice determinants are explored by means of multinomial regressions. The results are contrasted with demographic change to show that in lowest-low fertility countries current godparenthood models are bound to disappear.

The association between social classes and fertility behaviour remains undertheorized as the literature focused mostly on the differentials in education and income levels as determinants of fertility behaviour. By using data from the European Union Statistics on Income and Living Conditions (EU-SILC), which for many countries combine a cross-sectional and a longitudinal component, we aim at filling this gap in the literature. Hence, we first explore the association between social classes and fertility behaviour and the extent to which this association is moderated by education and income. Secondly, we consider how this association varies by parity. Results underline the role of social class in affecting individuals’ fertility, over and above education and income.

We present an introduction to the NetLogo simulation environment using the Segregation Model presented by Nobel Prize Winner Thomas Schelling in 1978. While reviewing the model, its Netlogo implementation is described step by step, using visual tools accompanied by the code for programming in the Netlogo language. Two extensions to the original model are proposed and programmed. All the models are fully described in the text.

This paper relates social mobility and social stratification to higher education policy. We show that higher‐education policy which leads to differences in quality and per‐student expenditure as well as in admission procedures between standard and elite universities, is a key factor in generating permanent social stratification and social immobility. We develop an intergenerational model which shows that a two‐tier higher education characterised by a division between elite and standard universities can be a key factor in generating permanent social stratification, social immobility and self‐reproduction of the ‘elite’. In our approach, low mobility is essentially explained by the differences in quality and in selection between elite and standard universities. A key result is that the wider the quality gap and the difference in per‐student expenditures between elite and standard universities, the less social mobility. This is because a larger quality gap reinforces the weight of family backgrounds at the expense of personal ability. Our simulations show that this impact can be large. These findings provide theoretical bases for the impact of higher education policy on social mobility.

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.

Agent-based modelling and numerical simulations are means that facilitate exploring the structural and dynamic characteristics of systems which may prove intractable with analytical methods. This contribution examines the issues related to them with a particular attention to their use in the study of social economic and ecological systems. Besides a general description, the possibilities, limitations and their relationship with other more traditional investigation methods are examined. Special focus is put on the assessment of their validation and reliability. Finally an application example is provided. A simple model is built to analyse the movements of tourists and the relationship between these and the attractiveness of a tourism destination. The results are discussed along with possible future developments.