Urban Free Zones: What Assessment in 2025?

The purpose of this thesis is to evaluate the long-term effects of Urban Free Zones (ZFUs) on firm location and employment in disadvantaged neighborhoods in France. Created by the law of November 14, 1996, as part of the Urban Renewal Pact, ZFUs grant tax and social contribution exemptions to firms to stimulate business creation and local employment. Using a differences-in-differences method on panel data covering the period 2000–2025, the study examines whether these schemes produce lasting effects or only temporary ones. It also proposes a cost-benefit analysis to compare the economic impact of ZFUs with their fiscal cost to public finances.

This is an ongoing project in 2026.

M2, 2024-2025

M1, 2025-2026

Econometrics: Forecasting Analysis of the French Consumer Price Index

This work is an advanced econometric study focusing on the evolution of the Consumer Price Index (CPI) in France. Using monthly data from 1990 to 2024, the authors apply time series methods to analyze trends, stationarity, and autocorrelation in the CPI. Forecasts prove to be highly accurate for the CPI, but much less reliable for inflation. The study also addresses price seasonality and proposes extensions regarding inflation dynamics.

Software used: RStudio and Python.

The report and materials are available below:

M2, 2024-2025

Spatial Data: An Introduction to Spatial Econometrics

This paper explores spatial econometrics, which incorporates geographical interactions into economic models. It distinguishes between spatial dependence and spatial heterogeneity, modeled through weighting matrices. Two main models are presented: the SAR (autocorrelation in the dependent variable) and the SEM (autocorrelation in the error term). This approach allows for a more refined analysis of regional economic phenomena.

Software used: RStudio and TeXShop (LaTeX).

The report and the TeX code are available below:

M2, 2024-2025

Analysis of the Gas Market in France and Europe

This document analyzes how the natural gas market operates, particularly in Europe, in a context of liberalization, energy dependence, and geopolitical tensions. It addresses market structure (supply, demand, transport, storage), regulation, and recent developments such as the growing role of liquefied natural gas (LNG) and price volatility. Emphasis is placed on cross-country interconnection dynamics, the energy transition, and the strategic role of gas in security of supply.

Software used: RStudio and LaTeX.

The report and materials are available below:

M2, 2024-2025

Macroeconomics: Economic Outlook Report

This report analyzes the impact of monetary shocks on inflation stability in France between 1999 and 2023. Using an econometric model with control variables (exchange rate, imports, energy prices, etc.), the authors show that a negative monetary shock has a significant and delayed effect (after six months) on inflation changes. These results highlight the key role of ECB communication in limiting inflation instability. However, the study is limited to France and relies on linearity assumptions, calling for broader and more complex analyses.

Software used: RStudio and TeXShop (LaTeX).

The report and the TeX code are available below:

M2, 2024-2025

Supervised Project: Let's Talk About Energy

This report, produced on behalf of a fictitious company, analyzes energy consumption and CO₂ emissions in the industrial sector of the 26 European Union countries between 2012 and 2022. Three econometric models are estimated to examine the determinants of energy consumption, industrial emissions, and production. The results show that GDP, energy intensity, and employment strongly influence both consumption and emissions. The use of renewable energy significantly reduces emissions without harming production. The report proposes recommendations to support the energy transition, particularly through investment in green technologies, energy optimization, and corporate social responsibility.

Software used: RStudio and TeXShop (LaTeX).

The report and the TeX code are available below:

M2, 2024-2025

A Football Lesson! What Determines a Player’s Value?

This thesis explores the application of artificial intelligence, particularly machine learning with Python, to the analysis of professional football. Using match data (individual and team statistics), several models are developed to identify the determinants of a football player’s market value on Transfermarkt. The project highlights the potential of data science for decision-making in football, both for coaches and recruiters.

Software used: Python and RStudio

The report is available here:

M1, 2023-2024

SAS: Commercial Activity Analysis

This report analyzes user satisfaction and browsing fluidity on an e-commerce website based on 1,811 responses (individuals and professionals). It shows overall positive satisfaction, but a high dissatisfaction rate among mobile phone users. Professionals also report lower satisfaction than individuals. Three recommendations are proposed: optimize mobile navigation, investigate professional users’ expectations, and further explore the drivers behind average satisfaction. The goal is to improve customer experience and retention.

Software used: RStudio and SAS.

The report and the TeX code are available below:

M1, 2023-2024

Climate Variability and Agricultural Producer Prices

This paper analyzes the impact of climate variability on agricultural producer prices using monthly data for Germany over the period 2005–2019. Climate conditions are measured with the Standardized Precipitation Evapotranspiration Index (SPEI), while price dynamics are examined through several econometric models that account for structural breaks and potential delays in transmission. The results indicate that extreme climatic conditions, whether unusually dry or wet, are associated with higher agricultural producer prices, with stronger effects observed for excess humidity. Dynamic specifications suggest that these impacts may materialize with short lags. The study highlights the growing importance of climate-related risks for agricultural markets and the need to incorporate climate variability into economic analysis and policy design.

Software used: RStudio

The report is available here:

L3, 2022-2023

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