

Applied Economics researcher with expertise in digital economy, labor markets, trade, and inequality, employing advanced econometric and causal inference methods. Research interests include AI-driven technological change, gender wage inequality, and inclusive growth.
Research Interests: Labor Economics; Gender Wage Inequality; Digital Economy and AI-Driven Technological Change; Applied Econometrics and Causal Inference
Statistical & Econometric MethodsPanel data analysis; instrumental variables (IV); generalized method of moments (GMM); DID; quantile regression; causal inference; machine-learning–based prediction models
Published Paper
1. Reza, M., & Co-authors (2025). The Impact of AI on Income Inequality in the USA: The Mediating Role of Informal Labor Markets and the Moderating Role of Digital Financial Inclusion. Global Management Studies Review (GMSR).
Role: Second and Corresponding Author.
http://doi.org/10.31703/gmsr.2025(X-III).06
2. Reza M., & Co-authors (2025). Heterogeneous Returns to Education and Gender Wage Inequality in China: An IV-Quantile Regression Analysis. Advance Journal of Econometrics and Finance, 3(3), 446-458.
Role: Econometric modeling and empirical analysis using EASS (2006 & 2016) under the supervision of Dr. Li Dai, Hunan University.
https://doi.org/10.63075/phv9bv48
3. Reza, M., & Co-authors (2025). Pakistan’s Agricultural Exports to SCO Member States: Pre- and Post-Integration Assessment.
Zenodo — Journal Article
https://doi.org/10.5281/ZENODO.17572353
Under Reviews:
1. Journal of Competitiveness: Preferential Market Access and Export Competitiveness: Analyzing Pakistan’s Exports to the European Union under the GSP+ Status.
Role: Conducted empirical analysis on the impact of EU trade preferences using panel data regression models.
2. European Journal of Theoretical and Applied Sciences: The Impact of SCO Membership on Pakistan’s Manufacturing Exports: A DiD Analysis
Role: First & Corresponding Author
Conducted DiD-based panel analysis to estimate the causal effect of SCO accession on export performance.
DIYS - Local NGO
Program Officer
2020 - 2023
Led community development and economic empowerment initiatives focused on income generation, women’s entrepreneurship, and financial inclusion. Managed budgets, conducted field surveys, and analyzed socioeconomic data to assess project impact, strengthening expertise in data-driven, inclusive policy development.
[Surveyed 1,400 Households]
Game Theory – Matthew O. Jackson, Kevin Leyton-Brown, Yoav Shoham
Stanford University
Topics: Nash equilibrium (pure & mixed), extensive and Bayesian games, repeated and stochastic games, coalitional games, auctions, and market design. Assessment included graded problem sets and a final exam.
Principles and Practice of Artificial Intelligence
Southeast Jiaotong University
Topics: Core AI principles and practical applications, including learning algorithms, data-driven modeling, and AI-enabled decision systems. Evaluation based on continuous assessment (assignments, discussions, article analysis, project videos) and final examination.
Final Score: 93.65 / 100 (Highest Level)