Emerging markets have experienced a sizeable decline in their neutral real interest rates until recently. In this paper we try to identify the main factors that contributed to it, with a focus on Brazil. We estimate an interval for Brazil's time-varying neutral rate based on a range of...

We study the macroeconomic effects of the COVID-19 epidemic in a quantitative dynamic general equilibrium setup with nominal rigidities. We evaluate various containment policies and show that they allow to dramatically reduce the welfare cost of the disease. Then we investigate the role that...

Was the post-crisis growth slowdown in Central, Eastern and Southeastern Europe (CESEE) structural or cyclical? We use three different methods--production function approach, basic multivariate filter, and multivariate filter with financial frictions--to evaluate potential growth and output gaps...

This paper uses a multivariate filter and a production function to project potential growth inColombia, modeling in detail the impact of low oil prices on investment. The framework alsocaptures the impact of current and planned policies on potential growth, including the peaceagreement with the...

Are uncertainty shocks a major source of business cycle fluctuations? This paper studies theeffect of a mean preserving shock to the variance of aggregate total factor productivity(macro uncertainty) and to the dispersion of entrepreneurs' idiosyncratic productivity (microuncertainty) in a...

This paper explores the dynamic relationship between firm debt and real outcomes using data from 24 European economies over the period of 2000-2018. Based on macro data, it shows that a rise in credit to firms is associated with an increase in employment growth in the short-term, but employment...

In this paper, we develop a model incorporating the impact of financial inclusion to study the implications of introducing a retail central bank digital currency (CBDC). CBDCs in developing countries (unlike in advanced countries) have the potential to bank large unbanked populations and boost...

Machine learning tools are well known for their success in prediction. But prediction is not causation, and causal discovery is at the core of most questions concerning economic policy. Recently, however, the literature has focused more on issues of causality. This paper gently introduces some...

This paper examines the evolving importance of common global components underlying domestic financial conditions. It develops financial conditions indices (FCIs) that make it possible to compare a large set of advanced and emerging market economies. It finds that a common component, 'global...

Credit is key to support healthy and sustainable economic growth but excess aggregate credit growth can signal the build-up of imbalances and lead to systemic financial crisis. Hence, monitoring the credit cycle is key to identifying vulnerabilities, particularly in emerging markets, which tend...