We use a dynamic factor model to provide a semi-structural representation for 101 quarterly US macroeconomic series. We find that (i) the US economy is well described by a number of structural shocks between two and five. Focusing on the four-shock specification, we identify, using sign...

The study investigates the relationship between monetary policy and bank profitability in New Zealand using the generalized method of moments (GMM) estimator. Our sample comprises 19 banks from New Zealand over the period 2006-2018. Our results suggest that an increase in short-term rate leads...

This paper provides a comparative evaluation of the behaviour of long-term sovereign yieldsin Czechia, Hungary and Poland from 2001 to 2019. An affine term structure model de-veloped by Adrian, Crump and Moench (2013) is used as an empirical framework for thedecomposition of the bond yields into...

The present study aims to empirically analyze the relationship between the growth in money supply and the long-term interest rates in India through the application of efficient market theory. The study uses quarterly data over a period from 2010 to 2023. The advantage of the efficient market...

In this paper we seek to understand the recent dynamics of the Brazilian housing market, which experienced a significant growth in recent years. In particular, we assess the effects of aggregate productivity and monetary policy shocks on housing market variables. Moreover, we also investigate...

In this paper we extend the standard Blanchard-Quah decomposition to enable fluctuations in aggregate demand to have a long-run impact on the productive capacity of the economy through hysteresis effects. These demand shocks are found to be quantitatively important in the US, in particular if...

We propose to add ranking restrictions on impulse-responses to sign restrictions to narrow the identified set in vector autoregressions (VARs). Ranking restrictions come from micro data on heterogeneous industries in VARs, bounds on elasticities, or restrictions on dynamics. Using both a fully...

This paper quantifies and assesses the impact of an adverse loan supply (LS) shock on Peru's main macroeconomic aggregates using a Bayesian vector autoregressive (BVAR) model in combination with an identification scheme with sign restrictions. The main results indicate that an adverse LS shock:...

Large Bayesian VARs are now widely used in empirical macroeconomics. One popular shrinkage prior in this setting is the natural conjugate prior as it facilitates posterior simulation and leads to a range of useful analytical results. This is, however, at the expense of modeling flexibility, as...

We study whether the response of the economy to structural shocks changes at the zero lower bound. Monte Carlo evidence suggests that VARs have a limited ability to detect changes in impulse response functions at the ZLB compared to the standard environment with positive interest rates. This...