This summer school will cover fundamental topics in econometrics and data science. The content ranges from predictive and causal methods for time-series analysis, to state-space methods and filtering techniques for high-dimensional datasets. Participants will learn how to design, test and...

This event has been POSTPONED. This workshop focuses on price currents and other types of public and private price information. What do such publications tell us about the markets they served, the stocks listed, the terms and conditions of trade, and the individual market’s degree of...

This conference is postponed to the Spring of 2021.

Proposals are sought which apply the tools of meta-analysis, scientometrics, or systematic reviews to the financial aspects of Corporate Social Responsibility (CSR) and/or Corporate Governance (CG). Papers presented must have an explicit inter, trans, or cross-national approach and focus on the...

Key themes of Longevity 14 will be demographic risks and intergenerational risk sharing, sustainability of pension systems, practical applications of state of the art longevity research, mortality trends and forecasts, experience mortality and solidarity, global product trends, including the...

This conference aims to bring together leading economists from central banks, academia, and other research institutions to consider what we have learned in the ten years since the onset of the global financial crisis about ensuring financial stability, what open questions remain, and what policy...

Papers may be on any area in Economics, Finance and Econometrics.

Proposed conference themes: Theme 1 - CCP default management; recovery and resolution; Theme 2 - FMI operations – technology; FMI applications of fintech; operational risk management; Theme 3 - FMI networks, interdependencies and resilience. Submissions are encouraged from policy-makers,...

Statistical inference on the parameters of interest in a vast number of econometric models is plagued by its dependence on the settings of secondary nuisance parameters. Examples of such models are wide spread and include: - Linear instrumental variables regression - Inference in linear...