Browsing BI Open by Journals "Journal of applied econometrics"

Now showing items 1-5 of 5

    • News media versus FRED-MD for macroeconomic forecasting 

      Ellingsen, Jon; Larsen, Vegard Høghaug; Thorsrud, Leif Anders (Peer reviewed; Journal article, 2021)
      Using a unique dataset of 22.5 million news articles from the Dow Jones Newswires Archive, we perform an in depth real-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer ...

    • Nowcasting Norwegian household consumption with debit card transaction data 

      Aastveit, Knut Are; Fastbø, Tuva Marie; Granziera, Eleonora; Paulsen, Kenneth Sæterhagen; Torstensen, Kjersti Næss (Peer reviewed; Journal article, 2024)
      We use a novel data set covering all domestic debit card transactions in physical terminals by Norwegian households, to nowcast quarterly Norwegian household consumption. These card payments data are not subject to revisions ...

    • The role of precautionary and speculative demand in the global market for crude oil 

      Cross, Jamie; Nguyen, Bao H.; Tran, Trung Duc (Peer reviewed; Journal article, 2022)
      Contemporary structural models of the global market for crude oil jointly specify precautionary and speculative demand shocks as a composite shock, named a storage demand shock. We resolve this identification problem and ...

    • Should we trust cross sectional multiplier estimates? 

      Canova, Fabio (Journal article; Peer reviewed, 2024)
      I examine the properties of cross-sectional estimators of multipliers, elasticities, or pass-throughs when a conventional spatial macroeconomic specification generates the data. A number of important biases plague standard ...

    • Supply flexibility in the shale patch: Evidence from North Dakota 

      Bjørnland, Hilde C.; Nordvik, Frode Martin; Rohrer, Maximilian (Journal article; Peer reviewed, 2021)
      This paper provides new results to the literature, showing that output flexibility in oil production depends on the extraction technology. In particular, constructing a novel well-level monthly production dataset covering ...