The conference will feature: - Papers on the latest research in the field; - Applications focused tracks including on Regulation, Agriculture, Education, Financial and Health Services; - Round table discussions aimed at early career researchers where former or current Editors of Journals in the...

Andreas Fuster is an Associate Professor of Finance and SFI Senior Chair at Swiss Finance Institute @ EPFL and a Research Fellow at the CEPR (Centre for Economic Policy Research). His main research interests are in empirical finance (household finance, real estate finance, banking),...

Professors Eric Ghysels, Massimiliano Marcellino and Jonas Straukas will a three-day course entitled “What's New in Mixed Frequency Data (MIDAS), with Applications to Machine Learning and Big Data”. The focus of the course is the use of mixed frequency data in economics and finance. A...

The theme of the conference and keynote speeches will be "Digitalization and its consequences at the individual and distributional level". We particularly welcome contributions examining the economic, political, psychological, and social consequences of technological change and digitalization at...

The aim of the conference is to bring together economists, econometricians, statisticians and social scientists using panel data for their applied and/or theoretical research. We will welcome submissions related to all aspects of panel data, including factor models, dynamic models, non-linear...

Under what conditions structural macroeconomic shocks can be identified with empirical time series models? Several influential papers have shown that, in many theoretical models, Structural VAR analysis is unable to correctly esimate the economic shocks of interest and their propagation...

The “Causal Inference with Spatial Data” workshop will bring together young and senior researchers who are working on causal inference problems requiring the use of spatial data. With its four broad focus areas in Housing Markets, Environment and Energy, Economic History, and Human Capital...

This is a progressive, i.e. multi-location, symposium focused on methods and implementation of causal inference methods, in several locations over four days.

A mixed-frequency semi-structural model is used for estimating unobservable quantities such as the output gap, the Phillips curve and the NAIRU in real time. We consider two specifications: in one the output gap is observed as the official CBO measure, in the other is unobserved and derived via...

After reviewing basic identification strategies in econometrics as well as reviewing main ideas and methods of supervised machine learning, the main part of the lectures concerns causal machine learning, i.e. how to combine the prediction methods of the machine learning literature with the...