The paper provides a review of the estimation of structural VARs with sign restrictions. It is shown how sign restrictions solve the parametric identification problem present in structural systems but leave the model identification problem unresolved. A market and a macro model are used to...

We estimate demand, supply, monetary, investment and financial shocks in a VAR identified with a minimum set of sign restrictions on US data. We find that financial shocks are major drivers of fluctuations in output, stock prices and investment but have a limited effect on inflation. In a second...

Are exogenous shocks to lending spreads in corporate credit markets a substantial source of macroeconomic fluctuations? An alternative explanation of the data is that borrowing costs respond endogenously to expectations of future default, driven by macroeconomic shocks. We investigate by...

We obtain the following results. (ii) Both supply and demand shocks are important sources of fluctuations; supply prevails for GDP, while demand prevails for employment and information. (ii) Policy matters: Both monetary and fiscal policy shocks have sizeable effects on output and prices, with...

This paper studies how key labor market stylized facts and the responses of labor market variables to technology shocks vary over the US postwar period.  It uses a benchmark DSGE model enriched with labor market frictions and investment specific technological progress that enables a novel...

This paper examines the ability of vector autoregressive (VAR) models to properly identify the transmission of monetary policy in a controlled experiment. Simulating data from a small open economy DSGE model estimated for Australia, we find that sign-restricted VAR models do reasonably well at...

This paper evaluates the performance of structural VAR models in estimating the impact of credit supply shocks. In a simple Monte-Carlo experiment, we generate data from a DSGE model that features bank lending and credit supply shocks and use SVARs to try and recover the impulse responses to...

This paper evaluates the performance of a variety of structural VAR models in estimating the impact of credit supply shocks. Using a Monte-Carlo experiment, we show that identification based on sign and quantity restrictions and via external instruments is effective in recovering the underlying...

We study the effects of government spending by using a structural, large dimensional, dynamic factor model. We find that the government spending shock is non-fundamental for the variables commonly used in the structural VAR literature, so that its impulse response functions cannot be...

We propose a method to evaluate cyclical models which does not require knowledge of the DGP and the exact specification of the aggregate decision rules. We derive robust restrictions in a class of models; use some to identify structural shocks in the data and others to evaluate the class or...