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jiazichen111's Projects

smolyak-anisotropic icon smolyak-anisotropic

Smolyak method for solving dynamic economic models: Lagrange interpolation, anisotropic grid and adaptive domain, by Judd, Maliar, Maliar and Valero

soecb-markov icon soecb-markov

Paper and source codes for Uncovering the Hit List for Small Inflation Targeters

solving-for-labor-easily icon solving-for-labor-easily

The folder “Maliars_CE_25_2005” contains MATLAB software accompanying the article "Parameterized Expectations Algorithm: How to Solve for Labor Easily" by Lilia Maliar and Serguei Maliar, (2005), Computational Economics 25, 269-274.

spring-2020 icon spring-2020

Spring 2020 AEM 7130: Dynamic Optimization/Computational Methods

spsolve icon spsolve

Matlab implementation of the Anderson Moore Algorithm

ssmmatlab icon ssmmatlab

A set of MATLAB and OCTAVE programs for the statistical analysis of linear time series using mainly state space methods

ssmwrs icon ssmwrs

Package of MATLAB scripts intended as companion to Kim, C. J., & Nelson, C. R. (1999). "State-space models with regime switching"

ssvs_var icon ssvs_var

Code for the paper Korobilis, D. (2008). “Forecasting in Vector Autoregressions with Many Predictors”, Advances in Econometrics, 23, 403-431.

stanford_dl_ex icon stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

starter-academic icon starter-academic

🎓 Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify

stata-amcmc icon stata-amcmc

Stata and Mata code for adaptive Markov chain Monte Carlo simulation; Stata code for Bayesian estimation of mixed logit models and truncated quantile regression models

stata-tools icon stata-tools

Template code for exporting Stata regression output to beautiful LaTeX tables

statatraining icon statatraining

Stata & R code for course on the fundamentals of data analysis and visualization

stickypricemodel--moran-and-queralto. icon stickypricemodel--moran-and-queralto.

Estimation.m now contains everything related to estimation. Here you can choose the parameters to estimate, set the bounds, etc. Meanwhile the mod file just runs the model with one set of parameters. (See Oct 24 emails)

stochastic-volatility icon stochastic-volatility

A Matlab Package to implement Bayesian Inference, forecast and simulation for stochastic volatility models including LSTM-SV, SV, etc.

stochvol icon stochvol

Partial re-write of the R package stochvol to allow for asymmetry (leverage).

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