Willi Mutschler (wmutschl)

wmutschl

Geek Repo

Company:University of Tübingen

Location:Tübingen, Germany

Home Page:https://mutschler.eu

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Willi Mutschler's repositories

dsge

Course on Dynamic Stochastic General Equilibrium (DSGE): Models, Solution, Estimation (graduate level)

Language:MATLABLicense:GPL-3.0Stargazers:71Issues:0Issues:0

BVAR_

Empirical macro toolbox

Language:MATLABLicense:GPL-3.0Stargazers:1Issues:0Issues:0

BEAR-toolbox

The Bayesian Estimation, Analysis and Regression toolbox (BEAR) is a comprehensive (Bayesian Panel) VAR toolbox for forecasting and policy analysis.

Stargazers:0Issues:0Issues:0

SVARIV

This repository contains a Matlab suite to construct weak-instrument robust confidence intervals for impulse response coefficients in Structural Vector Autoregressions identified with an external instrument. See "Inference in Structural Vector Autoregressions identified by an external instrument" by J.L Montiel Olea, J. H. Stock, and M. W. Watson (2018) .

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

sequence-jacobian

A unified framework to solve and analyze heterogeneous-agent macro models.

License:MITStargazers:0Issues:0Issues:0
License:AGPL-3.0Stargazers:0Issues:0Issues:0

Promes_toolbox

The Promes toolbox solves DSGE models with projection methods, and uses Matlab.

License:GPL-3.0Stargazers:0Issues:0Issues:0

gramm

Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.

License:MITStargazers:0Issues:0Issues:0

dynareOBC

A toolkit for implementing occasionally binding constraints in Dynare.

License:GPL-3.0Stargazers:0Issues:0Issues:0

VAR-Toolbox

Ambrogio Cesa-Bianchi's VAR Toolbox

License:GPL-3.0Stargazers:0Issues:0Issues:0

Macro-Factor-Bond-Return

Forecasting government bonds returns with macro data

Stargazers:0Issues:0Issues:0

CLMMJuliaPythonMatlab

Codes to accompany the paper "Matlab, Python, Julia: What to Choose in Economics?" by Chase Coleman, Spencer Lyon, Lilia Maliar, and Serguei Maliar

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

BayesianEstimationDSGEModels

Julia codes for the Bayesian estimation of a 3-equation New Keynesian DSGE model

Stargazers:1Issues:0Issues:0

dsdr-setup

Docker Secured Domain Registry Setup ... the Docker way

Stargazers:1Issues:0Issues:0