By placing store-level price data into bivariate Structural VAR models of inflation and relative price asymmetry, this …. Robustly to alternative definitions of the relative price, identification schemes dictated by two-sided (S,s) pricing theory …

. Here, we employ identification based on Choleski decomposition and a structural VAR, both of which lead to the same results …We use a Vector Auto Regression (VAR) analysis to explore the (spill-over) effects of fiscal policy shocks in Europe …

This paper examines the feasibility of implementing Linear Quadratic Gaussian (LQG) Control in structural cointegrated … VAR models and sheds some light on the two major problems generated by such implementation. The first aspect to be taken … part of it or none of it. The second issue involves the structural form of the model. It will be shown in this paper that …

Structural VARs have been extensively used in empirical macroeconomics during the last two decades, particularly in … analyses of monetary policy. Existing Bayesian procedures for structural VARs are at best confined to a severly limited … handling of cointegration restrictions. This paper extends the Bayesian analysis of structural VARs to cover cointegrated …

structural breaks. It can be used to investigate positive as well as negative contagion. The proposed measure appears to work …

general equilibrium model that integrates a theory of equilibrium unemployment into a monetary model with nominal price … rigidities. Then, it estimates a set of structural parameters characterizing the dynamics of the labor market using an … application of the minimum distance estimation. The estimated model can explain the cyclical behavior of employment, hours per …

money ("global liquidity") on the euro area. We estimate structural VAR models for the euro area and the global economy … including a global liquidity aggregate. The impulse responses obtained show that a positive shock to extra-euro area liquidity …