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SupportRecovery

This repository contains the replication codes for "Economic Time Series Predictions and the Illusion of Support Recovery" by Adämmer and Schüssler (2024). The code is mainly written in Julia but we also use R for some routines and visualizations. We have also rewritten the Matlab code by Giannone et al. (2021) in Julia.

Codes

The Julia packages will be automatically installed when instantiating the environment. The procedure is explained in the README files. For R you have to install the following packages:

R packages
BeSS
xtable
ggplot2
dplyr
tidyr
stringr
scales
lemon
forcats

Case Studies

'Readme_CaseStudies.txt' explains how to initialize the environment in Julia and how to use the codes to replicate the results of the paper.

Simulations

'Readme_Simulation.txt' explains how to initialize the environment in Julia and how to use the codes to replicate the results of the paper.

Figures

The folder "Figures" contains all empirical results and R codes to replicate the Figures of the paper.
'Readme_Figures.txt' explains how to use the R codes.

Data

All information and data sources can be found in 'Data_Sources.txt'. The data sets are contained in the folder "Data".

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