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Cervezartistas Brew House
Aaron Gutierrez
Georgina Muñoz
Roberto Gutiérrez
Gabriel Alejos
Aldo Cano
Mariana Gutiérrez
Héctor Martinez
Aprajit Mahajan(University of California, Los Angeles) formulates a dynamic discrete choice model in a heterogeneous population of possibly time-inconsistent agents in rural India.
More info: bfi.uchicago.edu/events/interactions-bringing-together-ec...
This workshop was held with the aim of strengthening interaction between econometricians and economists engaged in applied research from all parts of economics, including labor economics, industrial organization and public economics. More info: bfi.uchicago.edu/events/interactions-bringing-together-ec...
International Journal of Management, Economics and Social Sciences (IJMESS) is indexed in ResearchBib Japan.
Business Lunch - John Fraser, Secretary to the Treasurer - 2015 Australian Conference of Economics, Queensland University of Technology-Gardens Point Campus, Brisbane, July 09, 2015. Picture-Patrick Hamilton / Economic Society of Australia QLD 2015
International Journal of Management, Economics and Social Sciences (IJMESS) is indexed in Google scholar U.S.A.
This two-day conference focused on several foundational topics in econometrics. For each area, the presentations surveyed the main results, extensions, applications, and potential directions for further research. The discussions provided feedback on the presentations, with the goal of producing effective chapters on the topics, to be included in the next volume of the Handbook of Econometrics.
International Journal of Management, Economics and Social Sciences (IJMESS) is indexed in Universe Digital Library (UDL) Malaysia.
Machine learning techniques are being actively pursued in the private sector and have been widely adopted in fields such as computational biology and computer vision. However, the role of machine learning in economics has so far been limited. This workshop was organized to provide a forum to discuss how ideas and techniques from machine learning could be applied to economic questions. The workshop will bring together researchers from computer science, statistics, econometrics and applied economics to foster interactions and discuss different perspectives on statistical learning and its potential impact on economics.
The workshop began with overview talks on machine learning and statistics by researchers from outside of economics. Three following sessions were organized around the themes of causal inference, prediction, and networks and complex data. Each session included the presentation of papers in economics that make use of machine learning methodology, followed by a discussion by researchers from multiple communities.
James Heckman (University of Chicago) talks with a young econometrician between sessions at the Interactions conference. More info: bfi.uchicago.edu/events/interactions-bringing-together-ec...