Juri Marcucci: Machine Learning in Macroeconomics

MLportal's main purpose is making machine learning methods more accessible in Social and Health sciences.
The purpose of this webinars is to share the latest applications of machine learning methods in different fields.
other webinars and presentations:
July 23: Presentations of Speakers
10am - 10:55am : Juri Marcucci: Machine Learning in Macroeconomics (presentation)
11am - 11:55am : Arthur Charpentier: Machine Learning in Actuarial Science & Insurance (presentation)
12pm - 12:55pm : Arthur Spirling : Machine Learning in Embeddings Representations (presentation)
1pm - 1:55pm : Kathy Baylis: Machine Learning in Agricultural Economics (presentation)
2pm - 2:55pm : Stefan Wager : Machine Learning in Causal Inference (presentation)

July 24: Presentations of Speakers
10am - 10:55am : Stan Matwin : Machine Learning and Economics: a two-way street
11am - 11:55am : Mehmet Caner : Machine Learning in Econometrics (presentation)
12pm - 12:55pm : Anders Bredahl Kock : Machine Learning in Model Selection (presentation)
1pm - 1:55pm : Dario Sansone: Machine Learning in Education and Development Economics (presentation)
2pm - 2:55pm: Patrick Baylis :Temperature and Temperament: Evidence from Twitter (presentation)

[rkmofficial]

Hi sir, your lecture is very interesting. Instead of using a traditional econometric model can we use a machine learning model to analyze panel data? like impact transactions towards green economy on sustainable development in developing economies?