VAR methods suggest that the monetary transmission mechanism may be weak and unreliable in low-income countries (LICs). But are structural VARs identified via short-run restrictions capable of detecting a transmission mechanism when one exists, under research conditions typical of these...

This paper studies the fiscal multiplier using a small-open-economy DSGE model enriched with financial frictions. It shows that the multiplier is large when frictions are present in domestic and international financial markets. The reason is that in the model government bonds are more liquid...

We revisit the empirical relationship between private/public debt and output, and build a model that reproduces it. In the model, the government provides financial assistance to credit-constrained agents to mitigate deleveraging. As we observe in the data, surges in private debt are potentially...

We develop a stylized DSGE model in which banks face capital regulation and their loan portfolios are subject to non-diversifiable losses due to aggregate shocks. The framework is used to explore the importance of the interaction between macroeconomic conditions, credit default and bank...

This paper investigates the macroeconomic risks associated with undesirably low inflation using a medium-sized New Keynesian model. We consider different causes of persistently low inflation, including a downward shift in long-run inflation expectations, a fall in nominal wage growth, and a...

We compute a sunspot equilibrium in an estimated small-scale New Keynesian model with a zero lower bound (ZLB) constraint on nominal interest rates and a full set of stochastic fundamental shocks. In this equilibrium a sunspot shock can move the economy from a regime in which inflation is close...

This paper draws from Japan's recent monetary experiment to examine the effects of an increase in the inflation target during a liquidity trap. We review Japanese data and examine through a VAR model how macroeconomic variables respond to an identified inflation target shock. We apply these...

The accuracy of particle filters for nonlinear state-space models crucially depends on the proposal distribution that mutates time t-1 particle values into time t values. In the widely-used bootstrap particle filter this distribution is generated by the state-transition equation. While...

One of the leading methods of estimating the structural parameters of DSGE models is the VAR-based impulse response matching estimator. The existing asymptotic theory for this estimator does not cover situations in which the number of impulse response parameters exceeds the number of VAR model...