Contributions in Merlin

We study consumers’ concerns for the ideological values of their market counterparts and the implications of such concerns for the public promotion of values. Using a survey and online and laboratory experiments, we find that consumers are willing to pay premiums to exchange with counterparts who demonstrate support for their values. When sellers anticipate the possibility of market exchange, they exhibit public support for consumers’ values. Our findings challenge notions that market exchange is impersonal, suggest that public value positions can provide a dimension of firm differentiation, and provide evidence that market exchange can influence public support for ideological values.

Did overseas slave-holding by Britons accelerate the Industrial Revolution? We provide theory and evidence on the contribution of slave wealth to Britain’s growth prior to 1835. We compare areas of Britain with high and low exposure to the colonial plantation economy, using granular data on wealth from compensation records. Before the major expansion of slave holding from the 1640s onwards, both types of area exhibited similar levels of economic activity. However, by the 1830s, slavery wealth is strongly correlated with economic development – slave-holding areas are less agricultural, closer to cotton mills, and have higher property wealth. We rationalize these findings using a dynamic spatial model, where slavery investment raises the return to capital accumulation, expanding production in capital-intensive sectors. To establish causality, we use arguably exogenous variation in slave mortality on the passage from Africa to the Indies, driven by weather shocks. We show that weather shocks influenced the continued involvement of ancestors in the slave trade; weather-induced slave mortality of slave-trading ancestors in each area is strongly predictive of slaveholding in 1833. Quantifying our model using the observed data, we find that Britain would have been substantially poorer and more agricultural in the absence of overseas slave wealth. Overall, our findings are consistent with the view that slavery wealth accelerated Britain’s industrial revolution.

Adopting clean energy technology is crucial for reducing emissions and achieving global climate goals. In this Kühne Impact Series, we shed light on the importance of global diffusion of clean technology through international trade. In particular, we highlight China’s expansion in the solar energy sector and its role in bringing down the cost of solar energy worldwide. Our main result is that international trade and globally integrated value chains have dramatically reduced the global average cost of renewable technologies. Keeping markets open to trade is essential for enabling a low-carbon energy transition as it ensures that all countries benefit from the lower cost of clean energy technologies. Moreover, we highlight three potential challenges that represent considerable vulnerabilities for the global diffusion of clean technology: (i) the current geographical concentration in global supply chains, (ii) the US-China and EU-China “Solar Trade War,” and (iii) the global slowdown in high-quality solar energy inventions.

In this Kühne Impact Series we provide a historical perspective on globalizationʼs contribution to climate change, and the historical role of trade in bringing us closer to (or further away from) a sustainable world. We introduce the Sustainable Globalization Index (SGI) that tracks the worldʼs progress towards a Sustainable Globalization scenario. The SGI reveals that globalization has historically diverged from a sustainable pattern of trade until the Great Recession, but is now on a converging trend. The comparison in the recent period suggests that the (green) future of trade and logistics involves more trade from and to the economic North, more intraregional trade, and a shift of trade flows in favor of energy and raw materials and away from agricultural goods.

The world trading system is a very complicated network comprised of shipping routes that link many connecting ports or nodes. In such a networked setting, the economics of regulation is challenging because the efficiency of a networked system depends on both the set of active nodes (ports) and the volume of activity flowing through its links (trade). In this Kühne Impact Series, I discuss how a standard environmental policy such as taxing carbon emissions may have the unintended consequence of lowering overall network efficiency. As a result environmental policies need to be designed carefully whenever network interaction effects are large. When they are large and positive, as seems to be the case, then the optimal carbon tax is below the marginal social cost of carbon.

We review the vast literature on social preferences by assessing what is known about their fundamental properties, their distribution in the broader population, and their consequences for important economic and political behaviors. We provide, in particular, an overview of the empirically identified characteristics of distributional preferences and how they are affected by merit, luck, and risk considerations as well as by concerns for equality of opportunity. In addition, we identify what is known about belief-dependent social preferences such as reciprocity and guilt aversion. The evidence indicates that the big majority of individuals have some sort of social preference while purely self-interested subjects are a minority. Our review also shows how the findings from laboratory experiments involving social preferences provide a deeper understanding of important field phenomena such as the consequences of wage inequality on work morale, employees’ resistance to wage cuts, individuals’ self-selection into occupations and sectors that are more or less prone to morally problematic behaviors, as well as issues of distributive politics. However, although a lot has been learned in recent decades about social preferences, there are still many important, unresolved, yet exciting, questions waiting to be tackled.

Increasing inequality and associated egalitarian sentiments have put redistribution on the political agenda. In this paper, we take advantage of Swiss direct democracy, where people voted several times on strongly redistributive policies in national plebiscites, to study the link between social preferences and a behaviorally validated measure of support for redistribution in a broad sample of the Swiss population. Using a novel nonparametric Bayesian clustering algorithm, we uncover the existence of three fundamentally distinct preference types in the population: predominantly selfish, inequality averse and altruistic individuals. We show that inequality averse and altruistic individuals display a much stronger support for redistribution, particularly if they are more affluent. In addition, we show that previously identified key motives underlying opposition to redistribution – such as the belief that effort is an important driver of individual success – play no role for selfish individuals but are highly relevant for other-regarding individuals. Finally, while inequality averse individuals display strong support for policies that primarily aim to reduce the incomes of the rich, altruistic individuals are considerably less supportive of these policies. Thus, knowledge about the qualitative properties of social preferences and their distribution in the population also provides insights into which preference type supports specific redistributive policies, which has implications for how policy makers may design redistributive packages to maximize political support for them.

Education policy has increasingly gained the attention of political scientists. Owing to its decentralised structure and the ensuing variation across cantons, the Swiss education system is a great place to study questions about the determinants and consequences of education policy. However, partly for the same reason, structured and detailed (historical) comparative data about curricula — who was was taught what, when, where and how — is relatively rare. We contribute to closing this gap by introducing HESSS, a novel dataset on the provision of home economics education (“Hauswirtschaft") in Switzerland in ten German-speaking cantons for vocational- and university track secondary schools since 1980 and 1991, respectively. The new dataset can help social science scholars explore variation in various aspects of home economics education over time and across cantons, and facilitate research on the Swiss educational system. In this research note, we outline the main features of the data and illustrate how it can be used in two applications: (i) tracking the switch from gender segregated to co-educated classes in response to the 1981 vote on equality for men and women; and (ii) describing the impact of cantonal education budget cuts and popular opposition to such cuts on home economics at secondary schools in the canton of Zurich.

Like in many other countries, wealth inequality has increased in Switzerland over the last fifty years. By providing new evidence on cantonal top wealth shares for each of the 26 cantons since 1969, we show that the overall increase in concentration masks striking differences across cantons, both in levels and trends. Combining this with variation in cantonal wealth taxes, we then estimate an event study model to identify the dynamic effects of reforms to top wealth tax rates on the subsequent evolution of wealth concentration. Our results imply that a reduction in the top marginal wealth tax rate by 0.1 percentage points increases the top 1% (0.1%) wealth share by 0.9 (1.2) percentage points five years after the reform. This suggests that wealth tax cuts over the last 50 years explain roughly 18% (25%) of the increase in wealth concentration among the top 1% (0.1%).

We study the long-term effects of a randomized intervention targeting children’s socio-emotional skills. The classroom-based intervention for primary school children has positive impacts that persist for over a decade. Treated children become more likely to complete academic high school and enroll in university. Two mechanisms drive these results. Treated children show fewer ADHD symptoms: they are less impulsive and less disruptive. They also attain higher grades, but they do not score higher on standardized tests. The long-term effects on educational attainment thus appear to be driven by changes in socioemotional skills rather than cognitive skills.