Alternatives and similar repositories for neva

Users that are interested in neva are comparing it to the libraries listed below

• kennt / monetary-economics
  Implementation of the models from "Monetary Economics 2e" by Godley and Lavoie, 2012
  ☆82Updated 3 years ago
• bashtage / AFE2020
  Advanced Financial Econometrics - Trinity Term 2020
  ☆31Updated 4 years ago
• kerkphil / DSGE-Utilities
  Python Programming Code for Dynamic Stochastic General Equilibrium Modeling
  ☆41Updated 4 years ago
• jchanlauimf / ABBA
  Agent based-model of the banking system (NetLogo)
  ☆11Updated 7 years ago
• QuantEcon / dynamic_factor_models
  ☆41Updated 6 years ago
• IMFGAR / GaR
  ☆64Updated last year
• dazhwu / pydynpd
  This python package estimates dynamic panel data model using difference GMM and system GMM.
  ☆31Updated 10 months ago
• dmsul / econtools
  Econometrics and data manipulation functions.
  ☆113Updated 4 years ago
• lnsongxf / Applied_Computational_Economics_and_Finance
  ECON457 2018 Applied Computational Economics and Finance
  ☆27Updated 8 years ago
• davidrpugh / econometrics-labs
  Graduate level econometrics labs in Python/R
  ☆46Updated 12 years ago
• joergrieger / bvars
  R package for Bayesian Vector Autoregression
  ☆31Updated 5 years ago
• TommasoBelluzzo / SystemicRisk
  A framework for financial systemic risk valuation and analysis.
  ☆176Updated 2 years ago
• econ-ark / DemARK
  Demonstrations of how to use material in the Econ-ARK
  ☆37Updated 2 weeks ago
• bank-of-england / Shapley_regressions
  Statistical inference on machine learning or general non-parametric models
  ☆44Updated last year
• jstac / econometric_theory_slides
  Slides for A Primer in Econometric Theory
  ☆133Updated 8 years ago
• escheffel / pymaclab
  Dynamic Stochastic Equilibrium Models (DSGE) in Python
  ☆151Updated 7 years ago
• kvasilopoulos / awesome-var
  A curated list of Vector Autoregression resources
  ☆61Updated 2 years ago
• jstac / econometrics
  Code and notebooks for Econometric Theory
  ☆118Updated 9 years ago
• matteocourthoud / Machine-Learning-for-Economic-Analysis
  Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
  ☆86Updated 3 years ago
• rickecon / Notebooks
  Jupyter notebooks authored by Richard Evans
  ☆47Updated 5 years ago
• as4456 / Leo_Krippner_SSR
  Contains Python code and files used to estimate shadow rate using Krippner's K-ANSM(2) with an estimated lower bound term structure model
  ☆15Updated 4 years ago
• wharton / wrds
  Read WRDS datasets remotely (from wrds-cloud) into a Pandas dataframe.
  ☆144Updated last week
• jstac / quantecon_nyu_2016
  Quantitative Economics
  ☆139Updated 9 years ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆44Updated 8 years ago
• bdecon / econ_data
  Python 3 examples of using economic data APIs and working with economic microdata. Includes bd CPS.
  ☆90Updated 3 months ago
• QuantEcon / book-networks-public
  Companion Site for Economic Networks: Theory and Computation
  ☆119Updated last week
• EconForge / dolo.py
  Economic modelling in python
  ☆103Updated last year
• Jianeng / Deep-Learning-in-Asset-Pricing
  https://arxiv.org/abs/1805.01104
  ☆119Updated 4 years ago
• marcinbielecki / Applied_Macroeconomics
  Applied Macroeconomics, a course taught at the University of Warsaw
  ☆20Updated 4 years ago
• vgreg / python-finance-unimelb2018
  Material for a Python for Finance workshop at the University of Melbourne in 2018
  ☆16Updated 7 years ago