Due to the COVID-19 pandemic, the conference will be hybrid: session organizers will choose either the in-person, the hybrid or the virtual option. Speakers in contributed sessions will also be able to choose either the in-person or the virtual option. The conference will take place jointly with...

Lecturers are (in alphabetical order) Sylvain Chassang (New York University), In-Koo Cho (Emory University), Jeff Ely (Northwestern University), Herve Moulin (University of Glasgow and Higher School of Economics, St Petersburg ), Marzena J. Rostek (University of Wisconsin) and Ariel Rubinstein...

The Econometric Society is an international society for the advancement of economic theory in its relation to statistics and mathematics.

The theme of the conference is : Econometrics of Climate, Energy, and Resources and papers on these topics will be given priority for the main program. We plan for an in-person on-site conference (with the possibility to join online if preferred).

The theme of the conference is Econometrics of Climate, Energy, and Resources. Papers on these topics will be given priority for the main program.

The aim of the conference 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, developing econometric models and their...

The workshop provides a platform to discuss new developments in the field of empirical and applied macroeconomic modelling and aims at bringing together academic researchers and practitioners. We invite applied and theoretical papers in the field of environmental macroeconomics. Papers using...

Authors are invited to submit theoretical and empirical papers in all areas of economics and econometrics.

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...

The purpose of this invitational workshop is to provide a forum to discuss the use of econometric and other quantitative methods to address issues in health economics and policy, health services , and outcomes research.We invite papers that develop new methods, assess existing methods, or...