Uruguay has recently reverted to a money targeting (MT) framework in the context of a disinflation strategy. We develop a quantitative model for monetary policy analysis incorporating money targets in the policy framework while also retaining a central role for interest rates in the transmission...

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...

Traditionally, fiscal data for policy analysis are derived from official reports that, depending on the country, are published either monthly, quarterly or annually, often with significant time lags. However, innovations in digitalization of government payments and accounting systems mean that...

Well-designed banking laws are critical for regulating the market access and operations of banks, as well as their removal from the market in case of failure. While at a financial policy level there is a broad consensus as to the content of banking laws, from a legal perspective their drafting...

We introduce time-varying systemic risk in an otherwise standard New-Keynesian model to study whether a simple leaning-against-the-wind policy can reduce systemic risk and improve welfare. We find that an unexpected increase in policy rates reduces output, inflation, and asset prices without...