We examine the extent to which exposure to higher relative COVID-19 mortality (RM), influences health system trust (HST), and whether changes in HST influence the perceived ease of compliance with pandemic restrictions during the COVID-19 pandemic. Drawing on evidence from two representative...

We study how income inequality affects monetary policy through the inequality-household debt channel. We design a minimal macro Agent-Based model that replicates several stylized facts, including two novel ones: falling aggregate saving rate and decreasing bankruptcies during the household's...

This paper builds on Baqaee and Farhi (2022) and di Giovanni et al. (2022) to quantify the contribution of fiscal policy to U.S. inflation over the December 2019-June 2022 period. Model calibrations show that aggregate demand shocks explain roughly two-thirds of total model-based inflation, and...

This paper has adopted a Bayesian FAVAR approach to examine the monetary transmission mechanism in North Macedonia. The model is based on a broad data set that encompasses 140 monthly time series spanning between January 2010 and January 2019. In particular, the impact of policy on bank...

The objective of this paper is to focus on fragility research findings and examine what works or does not work in development aid and development cooperation in fragile and conflictaffected contexts. We draw on our own research findings as well as country-level studies. We examine questions of...

This paper aims to assess the extent to which top earners in Ecuador were affected by the COVID-19 crisis compared to other segments of the population. Our analysis uses administrative data for individuals affiliated to social security between January 2019 and December 2021. We identify the top...

This paper analyses the direct and indirect trade volume and trade cost effects of uncertainty on international trade and economic welfare using a structural gravity framework for a panel of 97 developed and developing countries from 2000 to 2018. Our results suggest that an increase in...

The standard approach to 'nowcast' disaster impacts, which relies on risk models, does not typically account for the compounding impact of various hazard phenomena (e.g., wind and rainfall associated with tropical storms). The alternative, traditionally, has been a team of experts sent to the...

The Covid-19 pandemic has been a shock to retail payment behaviour. How have the changes differed across countries? What do they imply for the future of cash and digital payments? We assemble a new "Future of Payments" database on retail payment behaviour for up to 95 countries over September...

We evaluate the aggregate effects of expansions of credit supply in environments where subsistence self-employment is prevalent. We extend a standard macro development model to include unemployment risk, which becomes a key driver of selection into self-employment. The model is consistent with...

Policy choices often entail trade-offs between workers and consumers. I assess how foreign competition changes the consumer welfare and domestic employment effects of a merger. I construct a model accounting for demand responses, endogenous product portfolios, and employment. I apply this model...

In this paper, we describe a computational implementation of the Synthetic difference-in-differences (SDID) estimator of Arkhangelsky et al. (2021) for Stata. Synthetic difference-in-differences can be used in a wide class of circumstances where treatment effects on some particular policy or...

We study the impact of work loss on mental health during the COVID-19 pandemic. Combining data on work loss and health care consultations from comprehensive individual-level register data, we define groups of employees delineated by industry, region, age, and gender. With these groups, we use a...

This paper proposes a time-weighted difference-in-differences (TWDID) estimation approach that is robust against interactive fixed effects in short T panels. Time weighting substantially reduces both bias and variance compared to conventional DID estimation through balancing the pre-treatment...

We study long-run environmental impacts of trade liberalization on US manufacturing by exploiting a plausibly exogenous reduction in US trade policy uncertainty: the conferral of Permanent Normal Trade Relations (PNTR) to China. Using detailed data on establishment-level pollution emissions and...

The COVID-19 pandemic had disastrous effects on health and economic activity worldwide, including in the Euro Area. The application of mandatory lockdowns contributed to a sharp fall in production and a rise in unemployment, inducing an expansionary fiscal and monetary response. Using a uniquely...

This paper examines the asymmetric impact of economic policy uncertainty (EPU) and oil price uncertainty (OPU) on inflation by using a Nonlinear ARDL (NARDL) model, which is compared to a benchmark linear ARDL one. Using monthly data from the 1990s until August 2022 for a number of developed and...

The urgency of the two crises, especially the COVID-19 pandemic, revealed the inadequacy of traditional statistical datasets and models to provide a timely support to the decision-making process in times of volatility. Drawing upon advances in data analytics for public policy and the increasing...

As it is becoming clear that climate change will exert a major impact on inflation, economic growth, and financial system stability, central banks and financial regulators have increasingly recognized that they can no longer ignore climate change and other environmental issues. In general,...