About Me Blog
A tutorial on tidy cross-validation with R Analyzing NetHack data, part 1: What kills the players Analyzing NetHack data, part 2: What players kill the most Building a shiny app to explore historical newspapers: a step-by-step guide Classification of historical newspapers content: a tutorial combining R, bash and Vowpal Wabbit, part 1 Classification of historical newspapers content: a tutorial combining R, bash and Vowpal Wabbit, part 2 Dealing with heteroskedasticity; regression with robust standard errors using R Easy time-series prediction with R: a tutorial with air traffic data from Lux Airport Exporting editable plots from R to Powerpoint: making ggplot2 purrr with officer Fast food, causality and R packages, part 1 Fast food, causality and R packages, part 2 For posterity: install {xml2} on GNU/Linux distros Forecasting my weight with R From webscraping data to releasing it as an R package to share with the world: a full tutorial with data from NetHack Get text from pdfs or images using OCR: a tutorial with {tesseract} and {magick} Getting data from pdfs using the pdftools package Getting the data from the Luxembourguish elections out of Excel Going from a human readable Excel file to a machine-readable csv with {tidyxl} Historical newspaper scraping with {tesseract} and R How Luxembourguish residents spend their time: a small {flexdashboard} demo using the Time use survey data Imputing missing values in parallel using {furrr} Looking into 19th century ads from a Luxembourguish newspaper with R Making sense of the METS and ALTO XML standards Manipulate dates easily with {lubridate} Manipulating strings with the {stringr} package Maps with pie charts on top of each administrative division: an example with Luxembourg's elections data Missing data imputation and instrumental variables regression: the tidy approach Objects types and some useful R functions for beginners Pivoting data frames just got easier thanks to `pivot_wide()` and `pivot_long()` R or Python? Why not both? Using Anaconda Python within R with {reticulate} Searching for the optimal hyper-parameters of an ARIMA model in parallel: the tidy gridsearch approach Some fun with {gganimate} The best way to visit Luxembourguish castles is doing data science + combinatorial optimization The never-ending editor war (?) The year of the GNU+Linux desktop is upon us: using user ratings of Steam Play compatibility to play around with regex and the tidyverse Using Data Science to read 10 years of Luxembourguish newspapers from the 19th century Using a genetic algorithm for the hyperparameter optimization of a SARIMA model Using the tidyverse for more than data manipulation: estimating pi with Monte Carlo methods What hyper-parameters are, and what to do with them; an illustration with ridge regression {pmice}, an experimental package for missing data imputation in parallel using {mice} and {furrr} Building formulae Functional peace of mind Get basic summary statistics for all the variables in a data frame Getting {sparklyr}, {h2o}, {rsparkling} to work together and some fun with bash Importing 30GB of data into R with sparklyr Introducing brotools It's lists all the way down It's lists all the way down, part 2: We need to go deeper Keep trying that api call with purrr::possibly() Lesser known dplyr 0.7* tricks Lesser known dplyr tricks Lesser known purrr tricks Make ggplot2 purrr Mapping a list of functions to a list of datasets with a list of columns as arguments Predicting job search by training a random forest on an unbalanced dataset Teaching the tidyverse to beginners Why I find tidyeval useful tidyr::spread() and dplyr::rename_at() in action Easy peasy STATA-like marginal effects with R Functional programming and unit testing for data munging with R available on Leanpub How to use jailbreakr My free book has a cover! Work on lists of datasets instead of individual datasets by using functional programming Method of Simulated Moments with R New website! Nonlinear Gmm with R - Example with a logistic regression Simulated Maximum Likelihood with R Bootstrapping standard errors for difference-in-differences estimation with R Careful with tryCatch Data frame columns as arguments to dplyr functions Export R output to a file I've started writing a 'book': Functional programming and unit testing for data munging with R Introduction to programming econometrics with R Merge a list of datasets together Object Oriented Programming with R: An example with a Cournot duopoly R, R with Atlas, R with OpenBLAS and Revolution R Open: which is fastest? Read a lot of datasets at once with R Unit testing with R Update to Introduction to programming econometrics with R Using R as a Computer Algebra System with Ryacas

Research

Published Articles

Version Control Systems to Facilitate Research Collaboration in Economics, in Computational Economics, 2015

Abstract

Reliable and reproducible research is an important cornerstone of science, and version control systems not only make reproducible research possible in a rapid and easy way, but also provide a way of collaborating with co-authors. The purpose of this methodological paper is to present Git, a very successful version control system and how it can be used by economists working together on their papers and the accompanying computer code. Version control systems also make sharing the findings with the rest of the scientific community more easy and streamlined. To understand how version control systems came to be, one must be familiar with the history of free software. In the introduction, I will present free software and its philosophy and show how version control systems make free software possible. In the second section I present Git which is a widely used version control system. In the third section I show a basic usage of Git. In the fourth section, I conclude.

Working Papers

The birth of a child and its impact on wages and worked hours: evidence from France, 2016, with Vincent Vergnat

Abstract

Using French administrative data, we estimate the impact of the birth of a first child on hourly and daily wages, as well as for hours worked, for both women and men. We compute the impact on these outcome variables, two, four and eight years after the birth of the child, using difference-in-differences. We compare the impact for different education levels of both mothers and fathers. The results show that in the short term there is no impact of a birth on wages and hours worked but eight years after the birth of a child, highly educated women suffer from a loss in daily and hourly wages as well as hours worked. Educated men also decrease their labour supply.

The maternity leave duration in France: results from a competing risks model, coming soon, with

Vincent Vergnat

Abstract

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The career and fertility decisions of highly educated women, 2013-2016, with Richard Blundell, Hans-Martin von Gaudecker, Bertrand Koebel, François Laisney and Holger Stichnoth.

Summary of the project

This project aims to estimate a structural model of fertility and career decisions of university educated women for Germany and France.

Master’s Thesis

You can download my Master’s Thesis here.

Here’s a short description:

The Great Moderation was a phenomenon characterized by great economic stability in all OECD countries. In my Master’s thesis, I study this phenomenon in the Euro Area using a medium-scale, Markov-switching DSGE model and find that the Great Moderation in the Euro Area was due to better policy by the monetary authorities.

I’m currently working on two papers in collaboration with people from the ZEW (Raphael Abiry, François Laisney, Holger Stichnoth), University of Bonn (Hans-Martin von Gaudecker) and the IFS (Richard Blundell) on fertility and labor supply of highly educated women in Germany and France (the first project is financed by the SEEK and the other by the ANR-DFG). We estimate a dynamic discrete choice model with human capital accumulation and skills transferability between jobs. Links to the papers will be posted when they’re done.

With my thesis advisor, Betrand Kœbel, we are currently working on a paper where we explain how an employer, (which can decide to delegate the wage fixing decision to an employee), and his employee can cooperate and attain higher pay-offs despite having conflicting objectives. For this, we estimate a dynamic model with GMM using data from Charness (2012).