@font-face One example is the Heckman Selection approach in Labor Economics, which I had to do myself in Python. In this section, we will explore more operators used in Python. mso-style-parent:""; @font-face Python Econometrics Models. On top, the code will be built so that you download it and apply the causal inference techniques in your work and projects. More precisely, … Quantitative Economics with Python. The approach is hands-on: start with an economic problem, select an appropriate numerical technique for analysing it, apply the technique to the problem, and present your findings. Welcome! -->. mso-font-charset:0; Instead, we sketch the trade offs and then model these in python. mso-hansi-font-family:Calibri; The aim is for you to understand why the technique makes sense. This is the notebook to accompany the course Applied Economic Analysis at Tilburg University. Additionally, I will explain what you have to change to use in your dataset and solve the problem you have at hand. {mso-style-type:export-only; .MsoChpDefault mso-font-signature:-536870145 1107305727 0 0 415 0;} Solving the thousand-year-old riddle of who came first: "Chicken or the egg?". mso-font-pitch:variable; mso-hansi-font-family:Calibri; panose-1:2 4 5 3 5 4 6 3 2 4; {mso-style-unhide:no; <! Here are some examples: Understanding how weather influences sales. 3| CHALLENGING AND INTERESTING PROBLEMS TO APPLY WHAT YOU LEARNED. mso-hansi-font-family:Calibri; plotting data with Python, practice business cycle modeling, and build programming expe-rience that will hopefully start them on a path of increasing computer pro ciency. {page:WordSection1;} margin-left:0in;