We propose a new approach to detect and quantify informal employment resulting from irregular migration shocks. Focusing on a largely informal sector, agriculture, and on the exogenous variation from the Arab Spring wave on southern Italian coasts, we use machine-learning techniques to document...

We study first-order and higher-order inflation expectations of German households and firms elicited from surveys. The data allows to shed light on the relation between different orders of beliefs, and to derivate implications for noisy-information models with infinite regress. Moreover, since...

This analysis explores the implications of technological shifts towards greener and sustainable innovations on acquisition propensity between firms with different technological capacities. Using a dataset of completed control acquisition deals over the period of 2009-2020 from 23 OECD countries,...

Received wisdom holds that income rank matters for life satisfaction. In much of the literature, however, income comparisons are limited to the national population and evidence is correlational. In this paper, we investigate differences in the causal effects of rank information across reference...

This paper empirically studies the role of financial development in the fiscal response function by distinguishing high and low financial development regimes based on a data driven selection mechanism and investigating two groups of economies, European Union (EU) members and OECD countries from...

We investigate how heterogeneity in contestants' investment costs affects competition expenditures in a dynamic elimination contest with different seeding variants of contestants. Theory predicts that expenditures in dynamic contests are lower when competitors are heterogeneous than when they...

The literature has robustly documented a negative migrant-native wage gap in developed economies. Yet empirical evidence of pay differences has been elusive for developing countries. We approach this question by leveraging internationally harmonised microdata with 1.5 million individuals from 6...