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Precision-based sampling from state space models that have no measurement error
LQ is a package of codes to generate a quadratic approximation to the welfare function and solve for the correct first order approximation solution to the optimal policy problem. It also checks the second order conditions.
Bayesian methods for time series analysis with code in Julia
Bayesian Statistics using Julia and Turing
Bayesian Statistics-Econometrics
Julia codes for the Bayesian estimation of a 3-equation New Keynesian DSGE model
R package for Bayesian Vector Autoregression
bvar with om
Functions for Bayesian inference of vector autoregressive models
Replication codes for Chen, H., Cúrdia, V., and Ferrero, A. (2012) ``The Macroeconomic Effects of Large-Scale Asset Purchase Programs.'' The Economic Journal, 122, pp. 289-315.
Replication code for Addressing COVID-19 Outliers in BVARs with Stochastic Volatility“ by Carriero, Clark, Marcellino and Mertens (2021), Work in Progress
Replication files for Clark, McCracken, and Mertens (2020, REStat)
Replication codes for Cúrdia, V., and M. Woodford (2010). "Credit Spreads and Monetary Policy," Journal of Money, Credit and Banking, 42 (s1), pp. 3-35.
Replication codes for Cúrdia, V., and M. Woodford (2011). "The Central-Bank Balance Sheet as an Instrument of Monetary Policy." Journal of Monetary Economics, 58(1), pp. 54-79.
Replication codes for Cúrdia, V. and Woodford, M. (2016). "Credit Frictions and Optimal Monetary Policy." Journal of Monetary Economics, 84, pp. 30-65.
simple dsge stuff in python
Estimation of Macro-Finance DSGE Models with SV and Affine Solution
An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.
Collection of linear & nonlinear (Kalman) Filters for economic models
Support files for the course ES123: Computer Algorithm and Programming Project
This is a PhD course on financial frictions in macroeconomic models. This repository includes all the materials taught and is constantly updated
State Space Estimation of Time Series Models in Python: Statsmodels
Version Control with Git
Julia code to accompany https://probability4datascience.com/index.html
Introduction to Bayesian Econometrics
Introduction to Conda for (Data) Scientists
A Deep Introduction to Julia for Data Science and Scientific Computing
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.