estimated and how shock identification is performed, and compares panel VARs to other approaches used in the literature to deal …

asset prices, and it exploits the heteroskedasticity for the identification of causality in a multifactor model. It finds a …

observational equivalence, partial and weak identification problems are widespread, that they lead to biased estimates, unreliable t … identification and study how small samples interact with parameters and shock identification. We provide diagnostics and tests to … detect identification failures and apply them to a state-of-the-art model. JEL Classification: C13, C51, C52, E32 …

, with both real and nominal frictions, and with sufficiently wide ranges for their parameterers. This identification …

sufficient conditions for identification of the structural shocks and the associated impulse response functions. In particular …

first is whether such equations are identified. To check identification requires specifying the process for the forcing … is estimated by GMM, relying on statistical criteria to choose instruments. This may result in failure of identification …

rate. We show how this information can be used to achieve identification without having to make the usual strong assumption …

literatures, states that joint identification of the elasticity of capital-labor substitution and technical bias is infeasible … heart of a Monte Carlo analysis we identify the conditions under which identification is feasible and robust. The key result …