Focus: Pensions, Insurance, Rough Volatility, Machine Learning, Filtering, Risk Measurement, Systemic Risk, Credit Risk, High Frequency Trading and other areas of Quantitative Finance.

EC-squared is a series of annual international conferences on research in quantitative economics and econometrics, launched in 1990. The acronym (EC)^2 stands for the European Conferences of the Econom[etr]ics Community. Its main aim is to maintain and extend an adequate forum for both senior...

The invited speakers for WS2019 are V.V. Chari (University of Minnesota), Edward Glaeser (Harvard University), Ran Spiegler (University College London and Tel Aviv University) and Petra Todd (University of Pennsylvania). Each invited speaker will deliver a set of lectures. The School will also...

The School, a one-day event, will take place on the day before the start of the Simposio de la Asociación Española de Economía (SAEe) in Alicante. The School will consist of a full day of lectures with prominent speakers who will offer a broad perspective of their research areas. The School...

The workshop aims to bring together researchers who apply econometric methods to answer questions in health economics. We are open to recent methods from the program evaluation literature as well as to classical health econometrics (like models for unordered, ordered, or count data). We also...

The aim of the conference, organised every year since 1974, is to bring together scientists who work in the field of econometric modelling in order to facilitate the exchange of views and experience. Within the scope of interest are issues such as the problems of estimation, simulation,...

The French Econometrics Conference is an annual conference on theoretical and applied econometrics organized by various French universities and research centers. All areas of econometrics (micro, macro, theory and finance) are covered.

Authors are invited to submit theoretical and empirical papers. Papers will be evaluated and selected by the committee members in their specific area and association.