First, download the code as a .zip file and extract the files to a specific folder.

With the files in this repository, you are able to:

1. Reproduce my thesis manuscript

• Open bttomio-thesis.Rproj
• Open index.Rmd
• Knit (Ctrl + Shitf + k) index.Rmd
• It takes some time to knit the file
• The final document is called _main.pdf, which is located in the docs folder

2. Reproduce my econometric results (Stata and R codes)

• Go to the directory ECONOMETRIC PROCEDURES
• For Chapter 4, use BGVAR_2.4.3(https://github.com/mboeck11/BGVAR)

3. Reproduce my presentation for the thesis committee

• Available here: https://bttomio.github.io/slides/PhDdefense/slides.html
• Code: https://github.com/bttomio/bttomio.github.io/tree/master/slides/PhDdefense

Here is the sessionInfo() output for the manuscript:

R version 4.1.2 (2021-11-01)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.4 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               LC_TIME=en_US.UTF-8       
 [4] LC_COLLATE=en_US.UTF-8     LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                  LC_ADDRESS=C              
[10] LC_TELEPHONE=C             LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
 [1] colorspace_2.0-2 scales_1.1.1     compiler_4.1.2   R6_2.5.1         bookdown_0.24   
 [6] fastmap_1.1.0    htmltools_0.5.2  tools_4.1.2      yaml_2.2.1       rmarkdown_2.11  
[11] knitr_1.36.9     xfun_0.28.10     digest_0.6.29    lifecycle_1.0.1  munsell_0.5.0   
[16] rlang_0.4.12     evaluate_0.14