Oussama-ATTAHIR-PhD/Morocco-Economic-Intelligence-Lab

Data-driven economic intelligence, sectoral research and public policy analysis on the Moroccan economy. # 🇲🇦 Morocco Economic Intelligence Lab (MEIL) ### **Evidence-Based Economic Intelligence for Morocco** *Applied Economics • Economic Intelligence • Sector Research • Data Science • Python* --- # Executive Summary The **Morocco Economic Intelligence Lab (MEIL)** is an independent open research initiative dedicated to producing **high-quality, reproducible, and policy-relevant economic intelligence** for Morocco. Rather than publishing isolated analyses, the Lab develops **structured research programs** built upon official datasets, transparent methodologies, applied economics, econometrics, and modern Python workflows. The ambition is simple: > **Transform official economic data into strategic insights for decision-makers.** --- # Mission The Lab aims to bridge the gap between **official statistics** and **strategic decision-making**. Each study is designed to answer an important economic question using: * Official datasets * Applied economics * Statistical analysis * Econometrics * Data visualization * Reproducible Python workflows Every analysis is fully documented and reproducible. --- # Vision The long-term objective is to build one of Morocco's leading open repositories dedicated to: * Economic Intelligence * Sector Intelligence * Public Policy Analytics * Market Intelligence * Living Standards * Entrepreneurship * Investment Analysis The project follows international best practices inspired by the analytical approaches of institutions such as the World Bank, OECD, IMF and central banks, while remaining entirely independent. --- # Why This Lab? Most economic analyses available online suffer from one or more of the following limitations: * Lack of reproducibility * Limited methodological transparency * Absence of source code * Weak data visualization * Limited policy relevance MEIL addresses these limitations by combining: * rigorous economic reasoning; * transparent methodologies; * reproducible Python pipelines; * executive-or …