margins in STATA. This allows getting the point estimates interpretable as probabilities or margins and, are easier to interpret.
Recently I started to learn Python and, especially, how to manage datasets with it. Pandas is one of the well-known libraries for data management in Python. So, I would like to share my notes and my first steps with Pandas.
Computations in Stata might take an essential amount of time due to enormous datasets. In this post, I share some tips that I have learned over many hours in front of Stata.
This is a list of free/open source books about R. These books teach different topics: tha basics of R, how to do graphs, data science, econometrics… I will be updating this list.
This post offers a brief and easy explanation on how to compute distances between geolocations with the open source and user-friendly app QGIS.
This post aims at explaining how to merge and append datasets with the package dplyr in R.
We all have been students some time ago. We remember the stress we used to feel some minutes before starting an exam and the increasing… Read More »Why students perform worse when stakes are high?