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 six. Focusing on the four-shock specification, we identify, using sign...

This paper introduces a new indicator of core inflation for New Zealand, estimated using a dynamic factor model and disaggregate consumer price data. Using disaggregate consumer price data we can directly compare the predictive performance of our core indicator with a wide range of other ‘core...

This paper uses a data-set including time series data on macroeconomic variables, loans, deposits and interest rates for the euro area in order to study the features of financial intermediation over the business cycle. We find that stylized facts for aggregate monetary and real variables are...

We use the structural factor model proposed by Forni, Giannone, Lippi and Reichlin (2007) to study the effects of monetary policy. The advantage with respect to the traditional vector autoregression model is that we can exploit information from a large data set, made up of 112 US monthly...

We examine the effects of extracting monetary policy disturbances with semi-structural and structural VARs, using data generated by a limited participation model under partial accommodative and feedback rules. We find that, in general, misspecification is substantial: short run coefficients...

This paper develops a new analysis of the U. S. economy in the 1920s that is illuminated by contrasts with the 1990s, and it also re examines the causes of the Great Depression. In both the 1920s and the 1990s the acceleration of productivity growth linked to the delayed effects of previously...

We study the effects of government spending by using a structural, large dimensional, dynamic factor model. We find that the government spending shock is non-fundamental for the variables commonly used in the structural VAR literature, so that its impulse response functions cannot be...

The Beveridge-Nelson (BN) technique provides a forecast-based method of decomposing a variable such as output, into trend and cycle when the variable is integrated of order one (I (1)). This paper considers the multivariate generalization of the BN decomposition when the information set includes...

We use a 12-dimensional VAR to examine the dynamic effects on the labour market of four structural technology and policy shocks. For each shock, we examine the dynamic effects on the labour market, the importance of the shock for labour market volatility, and the comovement between labour market...

Many empirical studies have applied the Hodrick-Prescott filter in cross-country comparisons of business cycle fluctuations. The Hodrick-Prescott filter involves the smoothing parameter l, and standard practice in the literature is to set this parameter equal to 1600 (in quarterly data) for all...