• Asymmetric effects of monetary policy in regional housing markets 

      Aastveit, Knut Are; Anundsen, André K. (CAMP Working Paper Series;7, Working paper, 2017-12)
      The responsiveness of house prices to monetary policy shocks depends both on the nature of the shock – expansionary versus contractionary – and on city-specific housing supply elasticities. We test and find supporting ...
    • Changing supply elasticities and regional housing booms 

      Aastveit, Knut Are; Albuquerque, Bruno; Anundsen, André (CAMP Working Paper Series;04/2019, Working paper, 2019-06-18)
      Recent developments in US house prices mirror those of the 1996-2006 boom, but the recovery in construction activity has been weak. Using data for 254 US metropolitan areas, we show that housing supply elasticities have ...
    • Density Forecasts with MIDAS Models 

      Aastveit, Knut Are; Foroni, Claudia; Ravazzolo, Francesco (CAMP Working Paper Series;3/2014, Working paper, 2014)
      In this paper we derive a general parametric bootstrapping approach to compute density forecasts for various types of mixed-data sampling (MIDAS) regressions. We consider both classical and unrestricted MIDAS regressions ...
    • Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting 

      McAlinn, Kenichiro; Aastveit, Knut Are; Nakajima, Jouchi; West, Mike (CAMP Working Paper Series;01/2019, Working paper, 2019-01-16)
      We present new methodology and a case study in use of a class of Bayesian predictive synthesis (BPS) models for multivariate time series forecasting. This extends the foundational BPS framework to the multivariate setting, ...
    • Nowcasting GDP in Real-Time: A Density Combination Approach 

      Aastveit, Knut Are; Gerdrup, Karsten R.; Jore, Anne Sofie; Thorsrud, Leif Anders (CAMP Working Paper Series;1/2011, Working paper, 2011)
      In this paper we use U.S. real-time vintage data and produce combined density nowcasts for quarterly GDP growth from a system of three commonly used model classes. The density nowcasts are combined in two steps. First, ...
    • Nowcasting GDP in real time: a density combination approach 

      Aastveit, Knut Are; Gerdrup, Karsten R.; Jore, Anne Sofie; Thorsrud, Leif Anders (Journal article; Peer reviewed, 2014)
      In this paper, we use U.S. real-time data to produce combined density nowcasts of quarterly GDP growth, using a system of three commonly used model classes. We update the density nowcast for every new data release ...
    • Residential investment and recession predictability 

      Aastveit, Knut Are; Anundsen, Andr K.; Herstad, Eyo I. (CAMP Working Paper Series;8, Working paper, 2017-12)
      We assess the importance of residential investment in predicting economic recessions for an unbalanced panel of 12 OECD countries over the period 1960Q1–2014Q4. Our approach is to estimate various probit models with di↵erent ...
    • Residential investment and recession predictability 

      Aastveit, Knut Are; Anundsen, Andre K.; Herstad, Eyo I. (CAMP Working Paper Series;8, Working paper, 2017-12)
      We assess the importance of residential investment in predicting economic recessions for an unbalanced panel of 12 OECD countries over the period 1960Q1–2014Q4. Our approach is to estimate various probit models with di↵erent ...
    • The world is not enough! Small open economies and regional dependence 

      Aastveit, Knut Are; Bjørnland, Hilde C.; Thorsrud, Leif Anders (CAMP Working Paper Series;3/2011, Working paper, 2011)
      This paper bridges the new open economy factor augmented VAR (FAVAR) studies with the recent findings in the business cycle synchronization literature emphasizing the importance of regional factors. That is, we estimate ...
    • What drives oil prices? Emerging versus developed economies 

      Aastveit, Knut Are; Bjørnland, Hilde C.; Thorsrud, Leif Anders (CAMP Working Paper Series;2/2012, Working paper, 2012)
      We analyze the importance of demand from emerging and developed economies as drivers of the real price of oil over the last two decades. Using a factor-augmented vector autoregressive (FAVAR) model that allows us to ...