The IIF Summer School is, generally, a two-day course which provides in-depth analysis of a cutting edge topic in forecasting from one of the International Symposium on Forecasting (ISF) invited speakers. The Summer School typically shares the same venue as the ISF. Learn more about ISF 2021 – Virtual.
If you have any questions about the Summer School, contact Pilar Poncela, IIF Director.
Past Programs
2020 Renewable Energy Forecasting Henrik Madsen, Technical University of Denmark
2019 Probabilistic Forecasting Tilmann Gneiting, Heidelberg Institute for Theoretical Studies
2018 Economic Forecasting David Hendry, University of Oxford
Forecasting Summer School 2021 ~ Nowcasting & Models for Mixed Frequency Data
Instructor: Massimiliano Marcellino, Bocconi University, Italy
July 5-8 | Virtual
The attendance at the summer school is limited, at the request of the instructor. We ask that you complete an application to be considered for the program. The deadline for application submission is March 19th and notification will be sent by March 29th.
About the Instructor
Massimiliano Marcellino
Massimiliano Marcellino is professor of Econometrics in the Economics Department of Bocconi University and fellow of CEPR and IGIER. Previously, he held the Pierre Werner Chair at the European University Institute, where he was also Director of the Department of Economics. He has acted as an advisor for several institutions, including the ECB, Bank of Italy, Bundesbank, Eurostat, BIS, IADB and IMF. He has published over one hundred academic articles in leading international journals on empirical macroeconomics, econometrics, economic statistics and forecasting, his main areas of research, teaching and consulting.
Program
July 5-8 | 4 sessions, 3-6:15pm UTC+2/session
Nowcasting & Models for Mixed Frequency Data
This short course reviews some recent developments in the analysis of time series data with a special emphasis on the use of mixed frequency and large datasets for nowcasting. After a summary of the underlying theory, empirical applications are presented. EViews and Matlab code to replicate some of the empirical applications will be also provided and discussed.
The topics that will be covered in the course include:
- Bridge equations, MIDAS and U-MIDAS models
- Mixed frequency VARs
- Mixed frequency factor models
- Time-varying mixed frequency models
- Bayesian mixed frequency models
- Nowcasting with machine learning & big data
Registration rates (USD)
| Type | Rate | note |
|---|---|---|
| Become IIF member + registration | $220 | includes one-year IIF membership ($145 value) |
| Non-member | $245 | |
| Members or low income countries | $75 | |
| Student, non-member | $25 | includes one-year, student IIF membership |
| Student, member | free |
Cancellation policy:
No refunds after May 15th
Membership fees are not refundable
In case of summer school cancellation, the IIF liability will be limited to a refund of the registration fee only