We propose a new approach for estimating a “hybrid” New Keynesian Phillips Curve (NKPC) that includes demand pressures coming from disequilibrium relations in three different markets: (1) monetary and financial, (2) international, and (3) labour. Econometric tests based on Chilean data...

Using an estimated dynamic stochastic general equilibrium model, I show that shocks to a common international stochastic trend explain on average about 10% of the variability of output in several small developed economies. These shocks explain roughly twice as much of the volatility of...

We investigate the transmission mechanism of monetary policy in China over the past decades with emphasis on the post-Asian crisis period. A factor-augmented VAR method is used to study the effectiveness of monetary policy instruments in stabilizing the Chinese economy. We find that repo rate,...

We propose a two-step approach to estimate multi-dimensional monetary policy shocks and their causal effects requiring only daily financial market data and policy events. First, we combine a heteroscedasticity-based identification scheme with recursive zero restrictions along the term structure...

This paper estimates the effects of technology shocks in VAR models of the U.S., identified by imposing restrictions on the sign of impulse responses. These restrictions are consistent with the implications of a popular class of DSGE models, with both real and nominal frictions, and with...

This paper uses a factor-augmented vector autoregressive model (FAVAR) estimated on U.S. data in order to analyze monetary transmission via private sector balance sheets, credit risk spreads and asset markets in an integrated setup and to explore the role of monetary policy in the three...

This paper describes a small macro-model for the euro area. It has been built using Eurostat quarterly data and is aimed at improving the current tools used for forecasting and analysing the economy of the area. Some key data, such as capital stock or households disposable income, have been...

Real GDP and oil prices are decomposed into common stochastic trend and cycle processes using structural time series models. Potential real GDP is represented by the level of the trend component of real GDP. The potential rate of growth of real GDP is represented by the stochastic drift element...

Using structural time series models, Cuevas estimates common stochastic trends of real GDP and imports in Venezuela from 1974-2000. The real imports trend drifts upward at almost twice the rate of growth of GDP. This highlights the powerful structural tendency toward increasing imports in...

Money demand in Venezuela is modeled using structural time series and error correction approaches, for the period 1993.1 to 2001.4. The preferred model features seasonal cointegration and was estimated following a structural time series approach. There are similarities in the long-run behavior...