Various papers have identified shocks to investment as major drivers of output, investment, hours, and interest rates. These investment shocks have been linked to financial frictions because financial markets are instrumental in transforming consumption goods into installed capital. However, the...

We develop a system that provides model-based forecasts for inflation in Norway. We recursively evaluate quasi out-of-sample forecasts from a large suite of models from 1999 to 2009. The performance of the models are then used to derive quasi real time weights that are used to combine the...

We evaluate the performance of an open economy DSGE-VAR model for New Zealand along both forecasting and policy dimensions. We show that forecasts froma DSGE-VAR and a "vanilla" DSGE model are competitive with, and in some dimensions superrior to, the Reserve Bank of New Zealand's official...

Traditional vector autoregressions derive impulse responses using iterative techniques that may compound specification errors. Local projection techniques are robust to this problem, and Monte Carlo evidence suggests they provide reliable estimates of the true impulse responses. We use local...

Various papers have identified shocks to investment as major drivers of output, investment, hours, and interest rates. These investment shocks have been linked to financial frictions because financial markets are instrumental in transforming consumption goods into installed capital. However, the...

This paper uses multiple criteria decision making, also termed conjoint analysis,to reveal the preferences of central bank policy-makers at the Reserve Bank of New Zealand. Guided by the Policy Targets Agreement between the Governor of the Reserve Bank and the Minister of Finance, we identify...

We apply a suite of models to produce quasi-real-time density forecasts of Norwegian GDP and in ation, and evaluate dfferent combination and selection methods using the Kullback-Leibler information criterion (KLIC). We use linear and logarithmic opinion pools in conjunction with various...

Forecast combination has become popular in central banks as a means to improve forecasts and to alleviate the risk of selecting poor models. However, if a model suite is populated with many similar models, then the weight attached to other independent models may be lower than warranted by their...