Early warning systems (EWS) are widely used for assessing countries' vulnerability to fiscal distress. Most EWS employ a specific set of only fiscal leading indicators predetermined by the researchers, which casts doubt on their robustness. We revisit this issue by using the Extreme Bound...

Structural VAR models require two ingredients: (i) Informational sufficiency, and (ii) a valid identification strategy. These conditions are unlikely to be met by small-scale recursively identified VAR models. I propose a Bayesian Proxy Factor-Augmented VAR (BP-FAVAR) to combine a large...

We analyze factors driving persistently higher financial intermediation costs in low-income countries (LICs) relative to emerging market (EMs) country comparators. Using the net interest margin as a proxy for financial intermediation costs at the bank level, we find that within LICs a...

We employ a duration model to study determinants of public debt cycles in 57 advanced and emerging economies over the 1960–2014 period, with a particular focus on the impact of financial cycles. The results suggest that the association between financial and debt cycles is asymmetric. Debt...

We analyze determinants of sovereign bond yields in 22 advanced economies over the 1980-2010 period using panel cointegration techniques. The application of cointegration methodology allows distinguishing between long-run (debt-to-GDP ratio, potential growth) and short-run (inflation, short-term...

Structural VAR models are frequently identified using sign restrictions on contemporaneous impulse responses. We develop a methodology that can handle a set of prior distributions that is much larger than the one currently allowed for by traditional methods. We then develop an importance sampler...

Structural VAR models are frequently identified using sign restrictions on impulse responses. Moving beyond the popular but restrictive Normal-inverse-Wishart-Uniform prior, we develop a methodology that can handle almost any prior distribution on contemporaneous responses. We then propose a new...