, bootstrapping, estimation by maximum likelihood and GMM, and kernel regression in parallel on symmetric multiprocessor computers or …

the potential bias of GMM estimates in the presence of many instruments, the low power of specification tests based on … problems, we estimate various other specifications of the NKPC using the continuously-updated GMM estimator (CUE) developed by … Hansen, Heaton and Yaron (1996) and the 3-step GMM estimator of Bonnal and Renault (2001, 2003). These two estimators have …

)) to be the same as that for the infeasible optimal GMM, where the coefficients of the optimal linear combinations do not …

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 …