1) Learn how to obtain help on the web to produce a technical document in LaTeX, from drafts to final submission format, according to journal specifications.
2) Learn how to develop a computational research plan that is fully reproducible and communicable to peers (based on R, Rmarkdown and Stata).
3) Learn how to comment and present code for future reference by oneself, use by collaborators and fellow students.
4) Comparing results across software, e.g. R versus Stata, and making sense of differences.
5) Learn advantages and disadvantages across computational tools.
6) Learn how to include figures, format tables, include bibliographical references dynamically in technical documents.
1) Introduction to the most common LaTeX classes of documents for books, technical reports, and presentation slides.
2) Software for the management of bibliographies and automatic handling of citations and reference lists.
3) Introduction to the basic commands for R and principal packages for econometric analysis.
4) Introduction to the basic commands for Stata and principal packages for econometric analysis.
5) Introduction to Rmarkdown to compile quantitative documents dynamic documents in R e Stata.
Students will be asked to produce assignments and will be assessed on the quality of these assignments.
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