Implementation of Optimal Auctions through Deep Learning
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Updated
Nov 24, 2019 - Jupyter Notebook
Implementation of Optimal Auctions through Deep Learning
Solving and Simulating Several Heterogeneous Agents Borrowing and Savings Models
An interesting research on the perspectival role of public news on look-through company's internal value
Reinforcement learning for economically optimal pandemic response.
Helper functions which I've created to avoid rewriting the same functions all the time.
This is our Github Repository containing the Python projects for the course: Introduction to Programming and Numerical Analysis at the University of Copenhagen
Automated trade data pipeline for analyzing the impact of Free Trade Agreements (FTAs) and tariffs on U.S. agricultural exports. Integrates global datasets from USDA, WTO, World Bank, and IMF.
Benchmarking Linguistic Distance Metrics via Self-Supervised Audio Embeddings.
経済学と反事実分析 接触篇 (Tokyo.R 83回)
Altuğ Yalçıntaş is an aspiring digital humanities researcher and independent singer and songwriter.
This repository focuses its energy to develop the most important macroeconomic analysis with statistics and econometrics tools. It starts from ARMA models, VAR to VECM.
These are my typed course notes for ECON 581 at McGill University. They cover various introductory numerical methods used to solve wide variety of economic problems. The included files are the compiled course notes themselves (as a pdf) and the latex code that produces it (as a tex).
Code from Econ PhD Classes at UChicago
Toy simulation of strategic behavior in classification (economics + ML).
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