We estimate a Factor Augmented Vector autoregression (FAVAR) to identify idiosyncratic exchange rate shocks and examine the effects of these shocks on different sectors of the economy. We find that an unexpected shock to the exchange rate has significant effects on the tradable sector of the...

By using administrative data from New Zealand, we assess the relative importance of job-finding, and job-to-job transition rates for wage dynamics. We exploit the regional variation and find that wages are closely linked to job-to-job transitions and less so to the job- finding rate. Further,...

Many studies have found that combining forecasts improves predictive accuracy. An often-used approach developed by Granger and Ramanathan (GR, 1984) utilises a linear-Gaussian regression model to combine point forecasts. This paper generalises their approach for an asymmetrically distributed...

By conducting a high-frequency event study similar to Gürkaynak et al. (2005), we find that two factors are needed to adequately capture the effects of monetary policy announcements for a non-inflation targeting emerging market economy, Malaysia. These factors are the surprise changes in the...

Is publishing central bank projections of the policy rate a better way of managing market expectations than with written statements, and does it lead to overreactions by markets? To answer this, we use a quasi-experiment from the policy announcements of the Reserve Bank of New Zealand (RBNZ)....

This paper analyses the international spill-overs of uncertainty shocks originating in the US. We estimate an open economy, structural factor-augmented vector autoregression (FAVAR) model that identifies US uncertainty shocks and estimates the impact of these uncertainty shocks on the US...