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https://github.com/kvasilopoulos/awesome-var
A curated list of Vector Autoregression resources
https://github.com/kvasilopoulos/awesome-var
List: awesome-var
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A curated list of Vector Autoregression resources
- Host: GitHub
- URL: https://github.com/kvasilopoulos/awesome-var
- Owner: kvasilopoulos
- Created: 2020-11-29T20:04:19.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2023-06-20T10:20:26.000Z (over 1 year ago)
- Last Synced: 2024-04-11T19:10:26.149Z (7 months ago)
- Homepage:
- Size: 43.9 KB
- Stars: 46
- Watchers: 3
- Forks: 14
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - awesome-var - A curated list of Vector Autoregression resources. (Other Lists / PowerShell Lists)
README
# Awesome VAR
![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)
A curated list of Vector Autoregression resources.
Table of Contents:
- [MATLAB](#matlab)
- [Toolboxes](#toolboxes)
- [Collection of Codes](#collection-of-codes)- [R](#r)
- [CRAN](#cran)
- [Github](#github)- [Other Software](#other-software)
- [Uncategorized](#uncategorized)
- [Other](#other)
# MATLAB
### Toolboxes
- [Mathworks Manual](https://uk.mathworks.com/help/econ/vector-autoregression-models.html): Vector Autoregression Models
- [VAR Toolbox](https://github.com/ambropo/VAR-Toolbox): Collection of Matlab routines to perform VAR analysis (Ambrogio Cesa-Bianchi)
- [BVAR\_](https://github.com/naffe15/BVAR_.git): Empirical macro toolbox (F. Ferroni and F. Canova)
- [IRIS Toolbox](https://iris.igpmn.org/): Macroeconomic Modeling Toolbox
- [BEARToolbox](https://www.ecb.europa.eu/pub/research/working-papers/html/bear-toolbox.en.html): The Bayesian Estimation, Analysis and Regression toolbox (BEAR)
- [GVAR Toolbox](https://sites.google.com/site/gvarmodelling/gvar-toolbox): Global VAR Modelling### Collection of Codes
- [Dimitris Korobilis](https://sites.google.com/site/dimitriskorobilis/matlab)
- [James Hamilton](https://econweb.ucsd.edu/~jhamilto/software.htm)
- [Harron Mumtaz](https://sites.google.com/site/hmumtaz77/code?authuser=0)
- [Gianni Amisano](https://sites.google.com/site/gianniamisanowebsite/code)
- [Jouchi Nakajima](https://sites.google.com/site/jnakajimaweb/tvpvar)
- [James Hamilton](http://econweb.ucsd.edu/~jhamilto/software.htm#BH)
- [Tao Zha](http://www.tzha.net/code)
- [Gary Koop](http://personal.strath.ac.uk/gary.koop/bayes_matlab_code_by_koop_and_korobilis.html)
- [Joshua Chan](https://joshuachan.org/code.html): Bayesian Econometric Methods
- [Carlo Favero](http://didattica.unibocconi.eu/myigier/doc.php?idDoc=6312&IdUte=48917&idr=1754&Tipo=m&lingua=eng): Econometric Methods for Finance and Macroeconomics
- [Jouchi Nakajima](https://sites.google.com/site/jnakajimaweb/program): TVP & SV
- [Silvia Miranda-Agrippino](http://silviamirandaagrippino.com/code-data): BVAR, LP, & BLP \| PROXY SVAR / SVAR-IV \| FACTOR MODELS
- [ZeroSignVAR](https://www.liechtenstein-institut.li/personen/dr-martin-geiger): A zero and sign restriction algorithm implemented in MATLAB, (M. Geiger and F. Sindermann) [Vignette](https://eeecon.uibk.ac.at/~breitenlechner/data/Vignette.pdf), [Package](https://eeecon.uibk.ac.at/~breitenlechner/data/ZeroSignVAR.zip).# R
### CRAN
- [vars](https://cran.r-project.org/web/packages/vars/index.html): VAR Modelling
- [VARsignR](https://cran.r-project.org/web/packages/VARsignR/index.html): Sign Restrictions, Bayesian, Vector Autoregression Models
- [svars](https://cran.r-project.org/web/packages/svars/index.html): Data-Driven Identification of SVAR Models
- [bvarsv](https://cran.r-project.org/web/packages/bvarsv/index.html): Bayesian Analysis of a Vector Autoregressive Model with Stochastic Volatility and Time-Varying Parameters
- [bsvars](https://github.com/donotdespair/bsvars): Bayesian Estimation of Structural Vector Autoregressive Models
- [bvartools](https://github.com/franzmohr/bvartools): Functions for Bayesian inference of vector autoregressive models
- [BVAR](https://github.com/nk027/bvar): Hierarchical Bayesian Vector Autoregression
- [mfbvar](https://github.com/ankargren/mfbvar): Mixed-Frequency Bayesian VARs
- [ragt2ridges](https://github.com/wvanwie/ragt2ridges): Ridge Estimation of Vector Auto-Regressive (VAR) Processes
- [BHSBVAR](https://cran.r-project.org/web/packages/BHSBVAR/index.html): Structural Bayesian Vector Autoregression Models
- [panelvar](https://cran.r-project.org/web/packages/panelvar/index.html): Panel Vector Autoregression
- [gmvarkit](https://cran.r-project.org/web/packages/gmvarkit/index.html): Estimate Gaussian Mixture Vector Autoregressive Model
- [tsDyn](http://github.com/MatthieuStigler/tsDyn/wiki): Nonlinear Time Series Models with Regime Switching
- [GVARX](https://cran.r-project.org/web/packages/GVARX/index.html): Perform Global Vector Autoregression Estimation and Inference
- [lpirfs](https://github.com/adaemmerp/lpirfs/): Local Projections Impulse Response Functions
- [BGVAR](https://cran.r-project.org/web/packages/BGVAR/index.html): Bayesian Global Vector Autoregressions
- [hdiVAR](https://cran.r-project.org/web/packages/hdiVAR/index.html): Statistical Inference for Noisy Vector Autoregression
- [BVARverse](https://github.com/nk027/BVARverse): Tidy Bayesian Vector Autoregression
- [VARshrink](https://github.com/namgillee/VARshrink/): Shrinkage Estimation Methods for Vector Autoregressive Models
- [onlineVAR](https://cran.r-project.org/web/packages/onlineVAR/index.html): Online Fitting of Time-Adaptive Lasso Vector Auto Regression
- [VARtests](https://cran.r-project.org/web/packages/VARtests/index.html): Tests for Error Autocorrelation, ARCH Errors, and Cointegration in Vector Autoregressive Models
- [StVAR](https://cran.r-project.org/web/packages/StVAR/index.html): Student's t Vector Autoregression (StVAR)
- [MTS](https://cran.r-project.org/web/packages/MTS/index.html): All-Purpose Toolkit for Analyzing Multivariate Time Series (MTS) and Estimating Multivariate Volatility Models
- [multivar](https://cran.rstudio.com/web/packages/multivar/index.html): Penalized Estimation of Multiple-Subject Vector Autoregressive (multi-VAR) Models
- [mlVAR](https://cran.r-project.org/web/packages/mlVAR/index.html): Multi-Level Vector Autoregression
- [FCVAR](https://cran.r-project.org/web/packages/FCVAR/index.html): Estimation and Inference for the Fractionally Cointegrated VAR
- [bigtime](https://cran.r-project.org/web/packages/bigtime/index.html): Sparse Estimation of Large Time Series Models
- [starvars](https://cran.r-project.org/web/packages/starvars/index.html): Vector Logistic Smooth Transition Models Estimation and Prediction
- [FAVAR](https://cran.r-project.org/web/packages/FAVAR/index.html): Bayesian Analysis of a FAVAR Model
- [lpirfs](https://cran.r-project.org/web/packages/lpirfs/index.html): Local Projections Impulse Response Functions
- [LSVAR](https://cran.r-project.org/web/packages/LSVAR/index.html): Estimation of Low Rank Plus Sparse Structured Vector Auto-Regressive (VAR) Model
- [BigVAR](https://cran.r-project.org/web/packages/BigVAR/index.html): Dimension Reduction Methods for Multivariate Time Series### Github
- [lbvar](https://github.com/gabrielrvsc/lbvar): Estimate Large Bayesian VARs
- [bvars](https://github.com/joergrieger/bvars): Bayesian Vector Autoregression
- [bvarrKK](https://github.com/bdemeshev/bvarrKK): Translation Of Koop And Korobilis BVAR Matlab Code Into RbvarrKK
- [bvarr](https://github.com/bdemeshev/bvarr): R package for bayesian VARs
- [BMR](https://github.com/kthohr/BMR): Bayesian Macroeconometrics in R
- [bayesVAR_TVP](https://github.com/GediminasB/bayesVAR_TVP): R/C++ implementation of Bayes VAR models
- [Large-TVP-VAR](https://github.com/Reckziegel/Large-TVP-VAR): Large Time-Varying Parameter VAR
- [rbvar](https://github.com/jetroant/rbsvar): Robust Bayesian VAR
- [varexternal](https://github.com/martinbaumgaertner/varexternal/): Vector Autoregressive Model with an External Instrument in R# Other Software
### Python
- [statsmodel](https://www.statsmodels.org/dev/vector_ar.html): Vector Autoregressions
- [VARSMA](https://github.com/dnguyend/VARsMA): Vector Autoregressive with scalar Moving Average Model
- [Kats](https://facebookresearch.github.io/Kats/api/kats.models.var.html): One stop shop for time series analysis in Python### Julia
- [VectorAutoregressions.jl](https://github.com/lucabrugnolini/VectorAutoregressions.jl): Vector autoregressive models for Julia
### Stata:
- [Panel VAR estimation](https://sites.google.com/a/hawaii.edu/inessalove/home/pvar)(Inessa Love).
### C++
- [tsf_var](https://github.com/fylux/tsf_var): Analyze and forecast time series using VAR models.
### Eviews
- [Manual](http://www.eviews.com/help/helpintro.html#page/content%2FVAR-Vector_Autoregression_and_Error_Correction_Model.html%23): Vector Autoregression And Error Correction Models
- [StructVAR](http://www.eviews.com/StructVAR/structvar.html)Quantitative Macroeconomic Modelling with Structural Vector Autogregressions# Uncategorized
- [Kilian and Lutkepohl](http://www-personal.umich.edu/~lkilian/book.html): Code for the book 'Structural Vector Autoregressive Analysis'
- [Christiane Baumeister](https://sites.google.com/site/cjsbaumeister/)
- [James D. Hamilton](https://econweb.ucsd.edu/~jhamilton/)
- [Eric Sims](http://sims.princeton.edu/yftp/VARtools/R/)
- [David Gabauer](https://sites.google.com/view/davidgabauer/use-rpython?authuser=0)
- [Toru Kitagawa](http://www.homepages.ucl.ac.uk/~uctptk0/Research/research.htm): BVAR, Narrative & Sign Restrictions# Other
-