Climate change and inequality are critical and interrelated defining issues for this century. Despite growing empirical evidence on the economic incidence of climate policies and impacts, mainstream model-based assessments are often silent on the interplay between climate change and economic inequality. For example, all the major model comparisons reviewed in IPCC neglect within-country inequalities. Here we fill this gap by presenting a model ensemble of eight large-scale Integrated Assessment Models belonging to different model paradigms and featuring economic heterogeneity. We study the distributional implications of Paris-aligned climate target of 1.5 degree and include different carbon revenue redistribution schemes. Moreover, we account for the economic inequalities resulting from residual and avoided climate impacts. We find that price-based climate policies without compensatory measures increase economic inequality in most countries and across models. However, revenue redistribution through equal per-capita transfers can offset this effect, leading to on average decrease in the Gini index by almost two points. When climate benefits are included, inequality is further reduced, but only in the long term. Around mid-century, the combination of dried-up carbon revenues and yet limited climate benefits leads to higher inequality under the Paris target than in the Reference scenario, indicating the need for further policy measures in the medium term.

We investigate public preferences for equity-enhancing policies in access to early child care, using a survey experiment with a representative sample of the German population (n ≈ 4, 800). We observe strong misperceptions about migrant-native inequalities in early child care that vary by respondents’ age and right-wing voting preferences. Randomly providing information about the actual extent of inequalities has a nuanced impact on the support for equity-enhancing policy reforms: it increases support for respondents who initially underestimated these inequalities, and tends to decrease support for those who initially overestimated them. This asymmetric effect leads to a more consensual policy view, substantially decreasing the polarization in policy support between under- and overestimators. Our results suggest that correcting misperceptions can align public policy preferences, potentially leading to less polarized debates about how to address inequalities and discrimination.

We study the impact of stricter and more harmonized banking regulation along the income distribution using household survey data for 25 EU countries. Exploiting country-level heterogeneity in the implementation of European Banking Union directives allows us to control for confounders and identify effects. Our results show that these regulatory reforms aimed at increasing financial system resilience affected households heterogeneously. More stringent regulation reduces income growth for low-income households due to employment exits. Yet it tends to increase growth rates at the top of the distribution both for employee and self-employed income.

I study how labor market power affects firm wage differences using German manufacturing sector firm-level data (1995-2016). In past decades, labor market power increasingly moderated rising between-firm wage differences. This is because high-paying firms possess high and increasing labor market power and pay wages below competitive levels, whereas low-wage firms pay competitive or even above competitive wages. Over time, large, high-wage, high-productivity firms generate increasingly large labor market rents while charging comparably low product markups. This provides novel insights on why such top firms are profitable and successful. Using micro-aggregated data covering most economic sectors, I validate key results for multiple European countries.

While access to high-quality microdata is essential for economic research and policy evaluation, effective access to such data remains limited in Europe. It varies from country to country, with uneven information on access procedures. This is a major obstacle to social science research, including research on European competitiveness and the effects of climate change, inequality, globalization, and digitalization. The objective of this paper, which is based on a brainstorming exercise coordinated by CEPR and CompNet, is to assess the status quo and discuss a series of proposals for improving access to Microdata for economic research. We underline the need for developing the relevant tools for extended access to and use of European business statistics microdata. Building such tools entails both establishing the requested microdata and creating a body facilitating cross-country access to the established databases with harmonized content.

We investigate the long-term relationship between conflict-related migration and individual socioeconomic inequality. Looking at the post-conflict environment of Bosnia and Herzegovina (BiH), a former Yugoslav state most heavily impacted by the wars of the early 1990s, the paper focuses on differences in educational performance and income between four groups: migrants, internally displaced persons, former external migrants, and those who did not move. The analysis leverages a municipality-representative survey (n ≈ 6,000) that captured self-reported education and income outcomes as well as migration histories. We find that individuals with greater exposure to conflict had systematically worse educational performance and lower earnings two decades after the war. Former external migrants now living in BiH have better educational and economic outcomes than those who did not migrate, but these advantages are smaller for external migrants who were forced to move. We recommend that policies intended to address migration-related discrepancies should be targeted on the basis of individual and family experiences caused by conflict.