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539b

(Advanced) Applied Econometrics

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

advanced-did

Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth

advmacrohet

Course on solving heterogenous agent models

ai-phd-s24

Mono repo for the PhD course AI for Business Research (DSME 6635, S24)

algo_trading_and_quant_strategies

Supplemental Material for Algorithmic Trading and Quantitative Strategies

applied_metrics

A PhD course in Applied Econometrics and Panel Data

are213

PhD Applied Econometrics class taught at UC Berkeley

as.180.369

Johns Hopkins AS.180.369—“Tools for Writing a Research Paper in Economics” (Fall 2023)

awesome

😎 Awesome lists about all kinds of interesting topics

bcf-workshop

Materials for the mini-course on deep learning and macro-finance.

bgg_simple_steady

Program of BGG(1999): financial accelerator in DSGE

bootcamp2018

Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSM Lab Boot Camp 2018

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

causalml-teaching

This repository consolidates my teaching material for "Causal Machine Learning".

codes_compmacro

Sample Codes for the Course "Computations and Quantitative Models in Macro" by Alex Monge at the EUI, Florence

compecon

CompEcon is a set of MATLAB functions for solving a variety of problems in economics and finance. The library functions include rootfinding and optimization solvers, a integrated set of routines for function approximation using polynomial, splines and other functional families, a set of numerical integration routines for general functions and for c

computational-macroeconomics

A graduate course on Computational Macroeconomics

computational_macro_jl

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

consumptionsavingnotebooks

Jupyter Notebook examples of the ConSav package

course-materials

cs1114-material

CS 1114 Intro to Problem Solving and Programming lecture material

dp_ucph

Teaching material for Lectures in Dynamic Programming

dscourses24

Materials for Econ 5253 Data Science for Economists course at U of Oklahoma

dse2023

Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland

eap

empirical asset pricing

ec702

Numerical analysis code and notes for EC 702

econ-ga-4002-f2022

econ-ga-4003-f2022