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How do tax incentives affect firms’ investment? Using confidential UK corporation tax returns, we provide new evidence on the effects of incentives in the form of depreciation allowances. We exploit a 2004 exogenous change in the qualifying thresholds for the first-year depreciation allowances (FYAs) and conduct a difference-in-difference analysis. Results suggest that the investment rate increased between 2.1 and 2.6 percentage points when firms became qualified for FYAs, relative to firms that never qualified. This implies an increase in investment rate of 11 percent at the mean. We exploit exogenous variation in the timing of tax payments to show that this large effect is not due to an increase in available cash and hence, this is primarily a cost of capital effect. Firms respond rather quickly to FYAs, within 12 to 18 months. Firms also bunch just below notches in the cost of capital created by the qualifying thresholds, suggesting salience of the FYAs. Such behaviour does not drive our main results.

In this paper the question of within-country heterogeneity in patterns of transition to adulthood is addressed, focusing on the exit from the parental home in Spain, a country representative of the latest-late transition to adulthood. Microcensus data are used to investigate the relative weight that structural-contextual factors measured at the municipal level and cultural factors measured at the provincial level might have in explaining regional existing differences in the transition to independent living, by applying multilevel multinomial logistic model on three choices of living arrangements, namely, co-residing with parents, living outside the parental home and in partnership, living outside the parental home and not in partnership.

Background: In recent years, we witnessed a resurgence of measles even in countries where, according to WHO guidelines, elimination should have already been achieved. In high-income countries, the raise of anti-vaccination movements and parental vaccine hesitancy are posing major challenges for the achievement and maintenance of high coverage during routine programmes. Italy and France approved new regulations, respectively in 2017 and 2018, aimed at raising immunisation rates among children by introducing mandatory vaccination at school entry. Methods: We simulated the evolution of measles immunity profiles in seven distinct countries for the period 2018–2050 and evaluated the effect of possible adjustments of immunisation strategies adopted in the past on the overall fraction and age distribution of susceptible individuals in different high-income demographic settings. The proposed model accounts for country-specific demographic components, current immunity gaps and immunisation activities in 2018. Vaccination strategies considered include the enhancement of coverage for routine programmes already in place and the introduction of a compulsory vaccination at primary school entry in countries where universal school enrolment is likely achieved. Results: Our model shows that, under current vaccination policies, the susceptible fraction of the population would remain below measles elimination threshold only in Singapore and South Korea. In the UK, Ireland, the USA and Australia either the increase of coverage of routine programmes above 95% or the introduction of a compulsory vaccination at school entry with coverage above 40% are needed to maintain susceptible individuals below 7.5% up to 2050. Although the implementation of mandatory vaccination at school entry would be surely beneficial in Italy, strategies targeting adults would also be required to avoid future outbreaks in this country. Conclusions: Current vaccination policies are not sufficient to achieve and maintain measles elimination in most countries. Strategies targeting unvaccinated children before they enter primary school can remarkably enhance the fulfilment of WHO targets.

This article analyzes the relative level and evolution of the net nutritional status of manufacturing workers and craftsmen born in the last third of the eighteenth century in central Spain. It uses the anthropometric and occupational data included in the records of the general conscription carried out during the Napoleonic invasion. The findings are interpreted in light of the recent contributions made regarding the evolution of the economy and industrial products of central Spain during the second half of the eighteenth century. Significant differences can be observed between the different professions and economic sectors, largely explained by income levels, a possible selection for some occupations in accordance with physical characteristics, and access to animal proteins. Furthermore, the data also reveal an overall decrease in height and an increase in inequality between professions during the period.

In this paper we investigate the sensitivity of stochastic population forecasts produced by means of the Scaled Model of Error with respect to the choice of the correlation parameters. In particular, we evaluate the impact that a change in the specification of the correlation of the age-specific fertility forecast error increments across time and age and of the correlation of the age-specific mortality forecast error increments across time, age and sex has on the forecasts of the Total Fertility Rate and of the Male and Female Life Expectancies respectively. In our opinion a sensitivity analysis of this kind is extremely useful, since up to now the relevance and the impact of the choice of the Scaled Model of Error input parameters has not be discussed in detail. Such analysis will provide users with a better understanding of the model itself.

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.

We argue that fertility trends in advanced societies are in part driven by differences in trust. The argument builds around the idea that trust implies individuals and couples being willing to outsource traditional family activities to other individuals outside their own family. Trust is therefore seen as a catalyser for the process of increased female labour force participation, the diffusion of childcare facilities, and hence a halt to the continuing fertility decline. Support of this hypothesis is drawn from the World Values Survey and European Values Survey. We present evidence both from country-level regressions and from a series of multilevel analyses. We find that trust by itself is positively associated with fertility over recent decades. Moreover, trust interacts with women’s education. In particular, as higher education for women has expanded, which traditionally is seen as a robust predictor for lower fertility, trust is a precondition for achieving higher fertility among those women with very high education.

Education is a key sociological variable in the explanation of health and health disparities. Conventional wisdom emphasizes a life course-human capital perspective with expectations of causal effects that are quasi-linear, large in magnitude for high levels of educational attainment, and reasonably robust in the face of measured and unmeasured explanatory factors. In this paper, we challenge this wisdom by offering an alternative theoretical account and an empirical investigation organized around the role of measured and unmeasured cognitive and non-cognitive skills as confounders in the association between educational attainment and health. Based on longitudinal data from the National Longitudinal Survey of Youth – 1997 spanning mid adolescence through early adulthood, results indicate that a) effects of educational attainment are very vulnerable to issues of omitted variable bias; b) that measured indicators of cognitive and non-cognitive skills account for a significant proportion of the traditionally observed effect of educational attainment; c) that such skills have effects larger than that of even the highest levels of educational attainment when appropriate controls for unmeasured heterogeneity are incorporated; and d) that models that most stringently control for such time-stable abilities show little evidence of a substantive association between educational attainment and health. Implications for theory and research are discussed.

Political disaffection has intensified in democratic societies and European countries have witnessed a slow but steady decline of political trust over the past decades. We argue that this is due to, in part, to sustained immigration and was exacerbated by the onset of the global financial crisis. To test this, we employ a multi-level research design using micro attitudinal data from 17 European countries (2002-14). Our findings show a strong connection between immigration to Europe and the growing distrust that European citizens have for their country’s political institutions. This study provides new insight into how trends in immigration and the economic conditions of the last decade have reshaped the relationship between citizens and politics in Europe. Finally, the future implications for sociological theorizing around political trust is discussed.

This paper investigates the extent to which attitudes are affected by political regimes and government policies. We focus on female attitudes toward work and gender-role attitudes in the population at large, which have been shown to have significant effects on labor market outcomes. We exploit the imposition of state-socialist regimes across Central and Eastern Europe, and their efforts to promote women’s economic inclusion, for both instrumental and ideological reasons, presenting evidence from two different datasets. First, we take advantage of the German partition into East and West after 1945 and unique access to restricted information on place of residence to implement a spatial regression discontinuity design. We find more positive attitudes toward work in the sample of East German women. We also find evidence that increased female access to higher education and fulltime employment, arguably two of the very few positive aspects of living under state-socialism, may have served as channels for regime influence. Second, we employ a difference-in-differences strategy that compares attitudes formed in Central and Eastern European countries (CEECs) and Western European Countries (WECs), before and after the imposition of state socialism in CEECs. Gender-role attitudes formed in CEECs during the state socialist period appear to be significantly less traditional than those formed in WECs.