SUERF Policy Notes
In September 2015, SUERF launched the SUERF Policy Notes series with focus on current financial, monetary or economic issues, designed for policy makers and financial practitioners, authored by renowned experts.
| Date published | SUERF | Issue | Title | Author(s) |
| Nov 2023 | Policy Brief | No 748 | Monetary policy rules: model uncertainty meets design limits | Alexander Dück, Fabio Verona |
| Nov 2023 | Policy Brief | No 729 | How and why? Monitoring cement production with satellites and neural networks | Alexandre d’Aspremont, Simon Ben Arous, Jean-Charles Bricongne, Benjamin Lietti, Baptiste Meunier |
| Nov 2023 | Policy Brief | No 720 | Forecasting euro area inflation with machine learning models | Michele Lenza, Inés Moutachaker, Joan Paredes |
| Nov 2023 | Policy Brief | No 717 | The role of demand and supply factors during a period of high inflation – the case of Ireland | Thomas Conefrey, Darragh McLaughlin |
| Oct 2023 | Policy Brief | No 712 | The Term Structure of Inflation Forecasts Disagreement and Monetary Policy Transmission | Alessandro Barbera, Dora Xia, Sonya Zhu |
| Oct 2023 | Policy Note | No 324 | Money and inflation | Isabel Schnabel |
| Sep 2023 | Policy Brief | No 690 | Gauging price pressures in the euro area with the inflation compass | Nuno Lourenço, João Quelhas, António Rua |
| Sep 2023 | Policy Brief | No 683 | Can monetary policy ignore financial stability risks? | Sulkhan Chavleishvili, Manfred Kremer, Frederik Lund-Thomsen |
| Sep 2023 | Policy Brief | No 678 | Nowcasting World Trade with Machine Learning: a Three-Step Approach | Menzie Chinn, Baptiste Meunier, Sebastian Stumpner |
| Jul 2023 | Policy Brief | No 635 | No time to slack: nowcasting employment in the euro area | Marta Bańbura, Irina Belousova, Katalin Bodnár, Máté Barnabás Tóth |
| Apr 2023 | Policy Brief | No 567 | Catching the green-tech train: technology and climate change mitigation | Claire Alestra, Gilbert Cette, Valérie Chouard, Rémy Lecat |
| Mar 2023 | Policy Brief | No 547 | Conditional density forecasting: a tempered importance sampling approach | Carlos Montes-Galdón, Joan Paredes, Elias Wolf |
| Feb 2023 | Policy Brief | No 530 | Deep contractions cause economic scars that never heal | David Aikman, Mathias Drehmann, Mikael Juselius, Xiaochuan Xing |
| Feb 2023 | Policy Brief | No 521 | Can Machine Learning Methods Help Nowcast GDP? | Andreas Pick, Jasper de Winter |
| Nov 2022 | Policy Brief | No 470 | What micro price data teach us about the inflation process: web-scraping in PRISMA | Chiara Osbat |
| Oct 2022 | Policy Brief | No 452 | Are governments inflating their economic forecasts ahead of elections? | Davide Cipullo, André Reslow |
| Aug 2022 | Policy Brief | No 391 | Why is Swiss inflation low? | GianLuigi Mandruzzato |
| Jul 2022 | Policy Brief | No 366 | Firm-level expectations and macroeconomic conditions: underpinnings and disagreement | Monique Reid, Pierre Siklos |
| Feb 2022 | Policy Brief | No 271 | Including inflation expectations helps to improve inflation forecasts of econometric models | Marta Bańbura, Danilo Leiva-León, Jan-Oliver Menz |
| May 2021 | Policy Brief | No 86 | The Bewildering Effects of COVID-19 and Other Recessions on Forecast Accuracy Measurements | Boriss Siliverstovs |
| Feb 2021 | Policy Brief | No 43 | Nowcasting world GDP growth with high-frequency data | Caroline Jardet, Baptiste Meunier |
| May 2020 | Policy Note | No 162 | How large is the coronavirus macro shock? Putting the near-term record-breaking shock in the long-term context | Elga Bartsch, Jean Boivin, Philipp Hildebrand |
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