Pinned Repositories
AdvMacroHet
Course on solving heterogenous agent models
CompEcon2020
Computational Economics Course 2020 by Kenneth Judd
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
dc-egm
Python implementation of the DC-EGM algorithm from Iskhakov, Jorgensen, Rust, and Schjerning (QE, 2017).
dp_ucph
Teaching material for Lectures in Dynamic Programming
local_election_predictions
For any codes or final data
Master_thesis
Some data, codes and documents for my Master thesis
pol_viol
Research project on violence and politics
mariusgruenewald's Repositories
mariusgruenewald/local_election_predictions
For any codes or final data
mariusgruenewald/Master_thesis
Some data, codes and documents for my Master thesis
mariusgruenewald/pol_viol
Research project on violence and politics
mariusgruenewald/AdvMacroHet
Course on solving heterogenous agent models
mariusgruenewald/CompEcon2020
Computational Economics Course 2020 by Kenneth Judd
mariusgruenewald/computational_macro_jl
mariusgruenewald/computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
mariusgruenewald/ConsumptionSavingNotebooks
Jupyter Notebook examples of the ConSav package
mariusgruenewald/dc-egm
Python implementation of the DC-EGM algorithm from Iskhakov, Jorgensen, Rust, and Schjerning (QE, 2017).
mariusgruenewald/dp_ucph
Teaching material for Lectures in Dynamic Programming
mariusgruenewald/eui_computational
Various codes for projects related to the EUI
mariusgruenewald/exercises-2019
Problem sets with solutions
mariusgruenewald/Financial-Frictions-Course
This is a PhD course on financial frictions in macroeconomic models. This repository includes all the materials taught and is constantly updated
mariusgruenewald/HARK
Heterogenous Agents Resources & toolKit
mariusgruenewald/lectures-2019
Slides and code used in the lectures
mariusgruenewald/linearmodels
Add linear models including instrumental variable and panel data models that are missing from statsmodels.
mariusgruenewald/Metrics-III-SMM
This is a repository of the sample codes for Metrics III. It is for the illustration of the method and is organized to be as easily readable as possible. It is not necessarily optimized for the speed.
mariusgruenewald/partituren
mariusgruenewald/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
mariusgruenewald/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
mariusgruenewald/QuantEcon.jl
Julia implementation of QuantEcon routines
mariusgruenewald/QuantEcon.py
A community based Python library for quantitative economics
mariusgruenewald/sds_tddl_2020
Course page for KU course on text data and deep learning https://kurser.ku.dk/course/a%c3%98kk08401u/2019-2020
mariusgruenewald/sequence-jacobian
A unified framework to solve and analyze heterogeneous-agent macro models.
mariusgruenewald/synth
mariusgruenewald/tsds
Course page for Topics in Social Data Science @ UPCH: https://kurser.ku.dk/course/a%C3%98kk08371u/2018-2019