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...

This paper presents and estimates a small open economy dynamic stochastic general-equilibrium model (DSGE) for the Jordanian economy. The model features nominal and real rigidities, imperfect competition and habit formation in the consumer’s utility function. Oil imports are explicitly modeled...

This paper analyzes macroeconomic determinants of the foreign exchange risk premium in two Gulf Cooperation Council (GCC) countries that peg their currencies to the U.S. dollar: Saudi Arabia and the United Arab Emirates. The analysis is based on the stochastic discount factor methodology, which...

This paper estimates a disequilibrium model of credit supply and demand to evaluate the relative role of these factors in the slowdown of credit flows in the Jordanian economy in the wake of the global financial crisis. The empirical analysis suggests that the credit stagnation is mainly driven...

The global financial crisis has highlighted the importance of early identification of weak banks: when problems are identified late, solutions are much more costly. Until recently, Europe has seen only a small number of outright bank failures, which made the estimation of early warning models...

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...

This paper quantifies the variability of tax elasticities in Lithuania using two alternative methods: rolling regressions and pooled mean group estimator. The analysis is motivated by the systematic variation of tax revenues observed over the economic cycle in the recent past. Both methods...

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...