C - Mathematical and Quantitative Methods

• The Propagation of Industrial Business Cycles

  Staff Working Paper 2014-48 Maximo Camacho, Danilo Leiva-Leon

  This paper examines the business cycle linkages that propagate industry-specific business cycle shocks throughout the economy in a way that (sometimes) generates aggregated cycles. The transmission of sectoral business cycles is modelled through a multivariate Markov-switching model, which is estimated by Gibbs sampling.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Domestic demand and components, Econometric and statistical methods JEL Code(s): C, C2, C22, E, E2, E27, E3, E32

• Are There Gains from Pooling Real-Time Oil Price Forecasts?

  Staff Working Paper 2014-46 Christiane Baumeister, Lutz Kilian, Thomas K. Lee

  The answer as to whether there are gains from pooling real-time oil price forecasts depends on the objective. The approach of combining five of the leading forecasting models with equal weights dominates the strategy of selecting one model and using it for all horizons up to two years.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, Q, Q4, Q43

• Integrating Uncertainty and Monetary Policy-Making: A Practitioner’s Perspective

  Staff Discussion Paper 2014-6 Stephen S. Poloz

  This paper discusses how central banking is evolving in light of recent experience, with particular emphasis on the incorporation of uncertainty into policy decision-making.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Economic models, Financial stability, Monetary policy and uncertainty, Monetary policy communications, Monetary policy framework JEL Code(s): C, C5, C50, E, E3, E37, E5, E6, E61