with generalized driving processes should be treated with caution, and that there exists a tradeoff between identification …

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. …

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

. This dissertation contributes to the existing body of work by focusing on issues related to parameter identification.In the … used to determine the identifiability, and estimate the parameters of such models. I derive conditions for identification … models, as well as for detecting identification problems.In the third essay I develop a methodology for analyzing …