Christian Matthes's repositories
practicing_dynare
Dynare files for "Practicing Dynare" with Francisco Barillas, Anmol Bhandari, Riccardo Colacito, Sagiri Kitao, Thomas Sargent and Yongs Shin
robustness_dynare
code to implement LQ robust control models in Dynare (with Saki Bigio)
Choosing_Prior_Hyperparameters
Code for "Choosing Prior Hyperparameters" with Pooyan Amir-Ahmadi and Mu-Chun Wang, Journal of Business & Economic Statistics, forthcoming
misspecification
Code for "Dealing with misspecification in structural macroeconometric models" (with F. Canova, forthcoming QE)
composite_likelihood
Replication material for "A composite likelihood approach for dynamic structural models" with Fabio Canova, Economic Journal, forthcoming
Effects_of_Financial_Market_Disruptions
Code for "Are the Effects of Financial Market Disruptions Big or Small?" (with R. Barnichon and A.Ziegenbein, forthcoming in ReStat)
Indeterminacy
Code for “Indeterminacy and Imperfect Information” with Thomas Lubik and Elmar Mertens, Review of Economic Dynamics, forthcoming
Learning_about_Regime_Change
code for "Learning about Regime Change" with Andrew Foerster
multiplier
replication material for “Understanding the Size of the Government Spending Multiplier: It’s All in the Sign”
python_minicourse
This is the summer mini course in Python for economics graduate students at Indiana University-Bloomington.
annotated_latex_equations
Examples of how to create colorful, annotated equations in Latex using Tikz.
DynamicalSystems.jl
Award winning software library for nonlinear dynamics
LogDensityProblems.jl
A common framework for implementing and using log densities for inference.
lp_var_simul
Simulation study of Local Projections, VARs, and related estimators
mixtape
Data and Program files for Causal Inference: The Mixtape
Parameters.jl
Types with default field values, keyword constructors and (un-)pack macros
SDMX
SDMX Connectors
sequence-jacobian
A unified framework to solve and analyze heterogeneous-agent macro models.
statsmodels
Statsmodels: statistical modeling and econometrics in Python
svars
R Package for data driven SVAR identification of impulse response functions
template-referee-response
a template referee response
VARmodels
Estimation, impulse responses with error bands, for reduced form VAR's and for structural VAR's identified through heteroskedasticity.
VectorAutoregressions.jl
Vector autoregressive model in Julia