We are organising a conference on the Monetary Toolkit theme of the Bank of England Agenda for Research (BEAR). The aim of the conference is to promote BEAR with researchers in academia, other central banks and international institutions, and to foster discussion and collaboration with our...

Due to the COVID-19 situation, there is uncertainty surrounding travel restrictions and holding face-to-face events safely in October. Therefore, the organisers have decided to postpone the Third BoE, CEPR, Imperial,

The scientific committee invites both theoretical and applied submissions on any aspect of this linkage, including but not limited to: - The role of heterogeneity in income/wealth for the transmission of monetary and prudential policies; - Distributional consequences of conventional and...

Topics: - The role of heterogeneity in income/wealth for the transmission of monetary and prudential policies; - Distributional consequences of conventional and unconventional monetary and prudential policies.

The confluence of access to large granular data sources (‘Big Data’) and the rapid advance of modelling techniques like those from machine learning (ML) promises new insights into the economy and a larger information set for policymakers. The Bank of England (BoE) and the Data Analytics for...

Confrence themes: Theme 1- Non bank financial institutions and their impact on financial markets Theme 2- Financial market infrastructure

Professor Wouter den Haan and Dr Pontus Rendahl will teach the course. It is primarily aimed at participants in the Euro Area Business Cycle Network but applications will also be considered from doctoral students, post-doctoral researchers and economists working in central banks and government...

The main aim of this conference is to take stock of the latest research on the economics of exchange rate adjustment. Economists and policymakers have been discussing for quite a while whether and how far the exchange rate is an effective shock absorber or a source of macroeconomic and financial...

We invite submissions from a range of topics covering - Large granular structured or unstructured data sources (administrative data, web data, from the “digital exhaust”, text data), - Machine Learning for prediction and understanding the economy, - Methods (matching, filtering or cleaning...