The course is based on classical computational techniques in macroeconomics (e.g., dynamic programming, perturbation, projection methods, simulation-based methods etc.), recent advancements in machine learning (deep learning and reinforcement learning), and high-performance computing (parallel computing, ...
Economic complexity methods, and in particular relatedness measures, lack a systematic evaluation and comparison framework. We argue that out-of-sample forecast exercises should play this role, and we compare various machine learning models to set the prediction benchmark. We find that the key object...
We present a comprehensive comparative case study for the use of machine learning models for macroeconomics forecasting. We find that machine learning models mostly outperform conventional econometric approaches in forecasting changes in US unemployment on a 1-year horizon. To address the black box ...
Macroeconomics- Topics in macroeconomics with notebook examples. Machine Learning EconML- Automated Learning and Intelligence for Causation andEconomics. Auctions- Optimal auctions using deep learning. Computational Quant Econ- Quantitative economics course by NYU ...
Macroeconomics- Topics in macroeconomics with notebook examples. Machine Learning EconML- Automated Learning and Intelligence for Causation andEconomics. Auctions- Optimal auctions using deep learning. Computational Quant Econ- Quantitative economics course by NYU ...
AtMachine Learning X Doing, we are proud to have such distinguished leadership guiding our work in developing cutting-edge AI solutions for economic challenges. This recognition is a testament to our founder’s expertise and impact within the economics community. ...
We also thank the seminar participants at University of Orléans as well as the participants of the 16th Conference “Développements Récents de l’Econométrie Appliquée à la Finance” (Université Paris Nanterre), 7th PhD Student Conference in International Macroeconomics and Financial Econometrics,...
Oil prices Global stock markets Saudi stock market Machine learning Neural networks JEL classification C45 D53 G15 1. Introduction In recent decades, the landscape of financial markets has undergone a profound transformation, evolving into a highly interconnected and globally integrated “single market....
206 lukaemon_mmlu_high_school_macroeconomics 3f841b accuracy gen 1.28 207 lukaemon_mmlu_human_sexuality 4d1f3e accuracy gen 3.82 208 lukaemon_mmlu_elementary_mathematics 0f5d3a accuracy gen 20.11 209 lukaemon_mmlu_high_school_physics 0dd929 accuracy gen 9.27 210 lukaemon_mmlu_high_school_compute...
There is a growing body of literature on the use of machine learning in macroeconomics [83], but it is hard to find much that utilizes causal machine learning in particular [102]. Even without utilizing causal machine learning, the use of machine learning is producing improved results over ful...