We study how international trade networks react to natural disasters. We combine exhaustive firm-to-firm trade credit and disaster data and use a dynamic difference-indifferences identification strategy. We establish the causal effect of natural disasters abroad on the size, shape and quality of...

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,...

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...

We empirically investigate whether firms lower information frictions in foreign sourcing through prior exporting. Using a panel of Slovenian manufacturing firms in the period 1996-2011, we estimate the probability of import entry in a new market when the firm is already exporting to the same...

The SCAN ("Supply Chain Alert Notification") methodology has been developed to report signs of distress in supply chains relying on trade data. This methodology is based on a set of structural indicators to assess the ex-ante systemic risk of disruptions, and on high-frequency indicators...

Company carbon disclosures are crucial in assessing a firm's impact on the environment, and many policy actions are associated with this information. As a response to the rising demand for transparency and related regulatory requirements, an increasing number of firms discloses information on...

This paper studies the drivers of primary dealers' repo activity and the effect of repo market frictions on bond market liquidity. It separates the two tiers of the bond market, the electronic limit order book (LOB) and the over-the-counter (OTC) market. The results, based on dealer-specific...

This paper analyzes the potential effect of a European Central Bank Digital Currency (CBDC) on banks’ profitability. We use a large sample of EU banks that span the period from 2007 to 2021 to assess the sensitivity of banks’ profits to the deposits. Using quantile regression, we estimate...