We propose a method for estimating a subset of the parameters of a structural rational expectations model by exploiting changes in policy. We define a class of models, midway between a vector autoregression and a structural model, that we call the recoverable structure. As an application of our...

This study provides robust evidence on how the choice ofthe policy instrument for monetary policy influences its impact oneconomic activity. We study the case of South Korea for the period1980-2017. We use FAVAR models that allow a comprehensive explo-ration of different areas of economic...

What are the effects of beliefs, sentiment, and uncertainty, over the business cycle? To answer this question, we develop a behavioral New Keynesian macroeconomic model, in which we relax the assumption of rational expectations. Agents are, instead, boundedly rational: they have a...

We develop a technique for analyzing the response dynamics of economic variables to structural shocks in linear rational expectations models. Our work differs from standard SVARs since we allow expectations of future variables to enter structural equations. We show how to estimate the...

We estimated a structural vector autoregressive (SVAR) model describing the links between a banking sector and a real economy. We proposed a new method to verify robustness of impulse-response functions in a SVAR model. This method applies permutations of the variable ordering in a structural...

The Financial Instability Hypothesis associated with Hyman Minsky has profound implications for the conduct of monetary policy in modern capitalist economies. At its core is the proposition that the central bank may contribute to the financial fragility of leveraged firms in its pursuit of...

I estimate DSGE models with recurring regime changes in monetary policy (inflation target and reaction coefficients), technology (growth rate and volatility), and/or nominal price rigidities. In the models, agents are assumed to know deep parameter values but make probabilistic inference about...

The estimation of structural dynamic factor models (DFMs) for large sets of variables is attracting considerable attention. In this paper we briefly review the underlying theory and then compare the impulse response functions resulting from two alternative estimation methods for the DFM....

We represent the dynamic relation among variables in vector autoregressive (VAR) models as directed graphs. Based on these graphs, we identify so-called strongly connected components (SCCs). Using this graphical representation, we consider the problem of variable selection. We use the relations...