CV

PDF version here.

Research

Doctoral research

“Heterogeneous Firms and Optimal Emission Tax”

A large number of environmental regulations take the form of industry standards imposed by the regulators, usually based on the least polluting technology already observed in the industry. Najjar and Cherniwchan find that industry standards in Canada have mostly affected the level of pollutant emissions through exits of plants and reallocations of the market shares of the surviving plants rather than through reduction of plants’ emissions. More broadly, to the extent that more productive firms tend to pollute less per unit of output, any policy targeting emission rates might concentrate the activity and increase the market-power of large firms. To the best of my knowledge, this trade-off has not yet been at the forefront of the economic analysis. I propose to examine the effect of a given regulation on the markups of polluting markets and quantify the distortive effect of some environmental policies.

Masters’ thesis

“Global sourcing and linguistic proximity” under the direction of Farid Toubal.

Data

  • Dataset from Refinitiv Eikon, 2022

  • Genetic distance and religions dataset, 2021

  • Demand in foreign language skills dataset from O*NET, 2021

  • OECD ADIMA dataset 2018 vintage, 2019

Conferences and Workshops

  • Aarhus-Kiel Workshop, 2023

Education

Université Paris Dauphine-PSL

  • Ph.D. Student, 2022-

  • M.Sc. International and Development Economics, Cum Laude, 2018-2021

  • BSc International and Development Economics, 2015-2018

Internships

Research assistant, Université Paris Dauphine-PSL, October 2021 - April 2022

Research assistant, CEPII, February 2019 - July 2019

Research assistant, OECD, Statistics and Data Directorate, June 2018 - January 2019

Computer skills

R:

  • Strong data management skills

  • Strong programming skills

  • Familiarity with most popular econometric packages

  • Keen interest in data visualization

Python:

  • Basic data manipulation with pandas

  • Basic programming

Stata:

  • Basic data manipulation

  • Familiar with the most common regressions

C++:

  • Basic programming skills, including parallelization with openMp

  • Linear algebra with Armadillo

Julia:

  • Basic data management skills

  • Intermediate scientific programming skills

MATLAB

  • Basic data management skills

  • Basic use of solvers and optimization functions

Languages

French: native

English: good enough

Spanish: not brilliant