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We quantify the size of fiscal multipliers under financial fragmentation risk and demonstrate how non-standard monetary policy can support the macroeconomic transmission of fiscal interventions. We employ a DSGE model with financial frictions whereby the interplay of corporate, banks and sovereign solvency risk affect the transmission of fiscal policy. The output multiplier of fiscal expansion is found to be significantly dampened by tighter financial conditions in case households are less certain about implicit and explicit state-guarantees for the banking system, or banks are weakly capitalized and highly exposed to the government sector. In this context, we show that central bank asset purchases or liquidity operations designed to ensure favourable bank funding conditions can restore fiscal multipliers.

The objective of this paper is to examine the main features of optimal monetary policy cooperation within a micro-founded macroeconometric framework. First, using Bayesian techniques, we estimate a two-country dynamic stochastic general equilibrium (DSGE) model for the United States (US) and the euro area (EA). The main features of the new open economy macroeconomics (NOEM) are embodied in our framework: in particular, imperfect exchange rate pass-through and incomplete financial markets internationally. Each country model incorporates the wide range of nominal and real frictions found in the closed-economy literature: staggered price and wage settings, variable capital utilization and fixed costs in production. Then, using the estimated parameters and disturbances, we study the properties of the optimal monetary policy cooperation through welfare analysis, impulse responses and variance decompositions.

Advances in the development of Dynamic Stochastic General Equilibrium (DSGE) models towards medium-scale structural frameworks with satisfying data coherence have considerably enhanced the range of analytical tools well-suited for monetary policy evaluation. The present paper intends to make a step forward in this direction: using US data over the Volker-Greenspan sample, we perform a DGSE-VAR estimation of a medium-scale DSGE model very close to Smets and Wouters [2007] specification, where monetary policy is set according to a Ramsey-planner decision problem. Those results are then contrasted with the DSGE-VAR estimation of the same model featuring a Taylortype interest rate rule. Our results show in particular that the restrictions imposed by the welfare-maximizing Ramsey policy deteriorates the empirical performance with respect to a Taylor rule specification. However, it turns out that, along selected conditional dimensions, and notably for productivity shocks, the Ramsey policy and the estimated Taylor rule deliver similar economic propagation.

The objective of this paper is to examine the main features of optimal monetary policy within a micro-founded macroeconometric framework. First, using Bayesian techniques, we estimate a medium scale closed economy DSGE for the euro area. Then, we study the properties of the Ramsey allocation through impulse response, variance decomposition and counterfactual analysis. In particular, we show that, controlling for the zero lower bound constraint, does not seem to limit the stabilization properties of optimal monetary policy. the Ramsey allocation reasonably well. Such optimal simple operational rules seem to react specifically to nominal wage inflation. Overall, the Ramsey policy together with its simple rule approximations seem to deliver consistent policy messages and may constitute some useful normative benchmarks within medium to large scale estimated DSGE framework. prove the economic micro-foundation and the econometric identification of the structural disturbances. We also present simple monetary policy rules which can "approximate" and implement However, this normative analysis based on estimated models reinforces the need to improve the economic micro-foundation and the econometric identification of the structural disburbances.

Euro area data show a positive connection between sovereign and bank risk, which increases with banks' and sovereign long run fragility. We build a macro model with banks subject to moral hazard and liquidity risk (sudden deposit withdrawals): banks invest in risky government bonds as a form of capital buffer against liquidity risk. The model can replicate the positive connection between sovereign and bank risk observed in the data. Central bank liquidity policy, through full allotment policy, is successful in stabilizing the spiraling feedback loops between bank and sovereign risk.

Euro area data show a positive connection between sovereign and bank risk, which increases with banks' and sovereign long run fragility. We build a macro model with banks subject to incentive problems and liquidity risk (in the form of liquidity based banks' runs) which provides a link between endogenous bank capital and macro and policy risk. Our banks also invest in risky government bonds used as capital buffer to self-insure against liquidity risk. The model can replicate the positive connection between sovereign and bank risk observed in the data. Central bank liquidity policy, through full allotment policy, is successful in stabilizing the spiraling feedback loops between bank and sovereign risk.

Euro area data show a positive connection between sovereign and bank risk, which increases with banks' and sovereign long run fragility. We build a macro model with banks subject to moral hazard and liquidity risk (sudden deposit withdrawals): banks invest in risky government bonds as a form of capital buffer against liquidity risk. The model can replicate the positive connection between sovereign and bank risk observed in the data. Central bank liquidity policy, through full allotment policy, is successful in stabilizing the spiraling feedback loops between bank and sovereign risk. ; This draft: November 2013