If you made any changes in Pure these will be visible here soon.

Personal profile

Personal Statement

Niko Hauzenberger is a Senior Lecturer in the Department of Economics.

His research focuses on developing novel econometric methods for the efficient use of big data in macroeconomics. Specifically, he combines modeling techniques from the machine learning and Bayesian learning literature with multivariate time series models that macroeconomists commonly work with (e.g., vector autoregressions).

Niko's work has been published in the Journal of Business & Economic Statistics, the Journal of Applied Econometrics, the International Journal of Forecasting, the Journal of International Money & Finance, and the Scandinavian Journal of Economics, among others.

Niko has actively participated in knowledge exchange, providing scientific consultancy services to the Joint Research Centre (JRC) Ispra of the European Commission, the Austrian Central Bank (OeNB), and the International Institute for Applied Systems Analysis (IIASA). His typical scope of activities in this context is to tailor econometric methods to the needs of policy institutions and central banks.

For further information, please visit Niko's personal website: https://nhauzenb.github.io/.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 8 - Decent Work and Economic Growth


Dive into the research topics where Niko Hauzenberger is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or