1. Subspace methods

   Boot, T. & Nibbering, D., 2020, Macroeconomic Forecasting in the Era of Big Data: Theory and Practice. Fuleky, P. (ed.). Cham: Springer, p. 269-291 25 p. (Advanced Studies in Theoretical and Applied Econometrics; vol. 52).

   Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

2. Confidence Regions for Averaging Estimators

   Boot, T., 2019, Groningen: University of Groningen, SOM research school, 60 p. (SOM Research Reports; vol. 2019010-EEF).

   Research output: Working paper › Academic

3. Does modeling a structural break improve forecast accuracy?

   Boot, T. & Pick, A., Mar-2020, In : Journal of Econometrics. 215, 1, p. 35-59 25 p.

   Research output: Contribution to journal › Article › Academic › peer-review

4. Forecasting using Random Subspace Methods

   Boot, T. & Nibbering, D., Apr-2019, In : Journal of Econometrics. 209, 2, p. 391-406 16 p.

   Research output: Contribution to journal › Article › Academic › peer-review

5. Optimal forecasts from Markov switching models

   Boot, T. & Pick, A., 2018, In : Journal of Business and Economic Statistics. 36, 4, p. 628-642

   Research output: Contribution to journal › Article › Academic › peer-review

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