This paper argues that, in studying the monetary policy transmission process, more emphasis should be given to the systematic portion of policy behavior and correspondingly less to random shocks basically because shocks account for a very small fraction of policy-instrument variability. Analysis...

This paper is an expository review of recently developed techniques that are designed to evaluate macroeconomic policy using econometric models ; The exposition focuses on dynamic stochastic models with rational expectations and with discrete time. The method of undetermined coefficients is used...

This review of data problems in econometrics has been prepared for the Handbook of Econometrics (Vol. 3, Chap. 25, forthcoming). It starts with a review of the ambivalent relationship between data and econometricians, emphasizing the largely second-hand nature of economic data and the...

A heated debate has arisen over what Modigliani has dubbed the Macro Rational Expections (MRE) hypothesis. This hypothesis embodies two component hypotheses: 1) rational expectations and 2) short-run neutrality -- i.e., that anticipated changes in aggregate demand will have already been taken...

In the early 1940s, Haavelmo proposed a probabilistic structure for econometric modeling, aiming to make econometrics useful for public decision making. His fundamental contribution has become thoroughly embedded in subsequent econometric research, yet it could not fully answer all the deep...

We present a new class of methods for identification and inference in dynamic models with serially correlated unobservables, which typically imply that state variables are econometrically endogenous. In the context of Industrial Organization, these state variables often reflect econometrically...

This research approach, which we term insider econometrics, addresses these questions by combining insights from industry insiders with rigorous econometric tests about the adoption and productivity effects of new management practices using rich industry-specific data. Understanding the...