Stanford’s Ph.D. in Economics cultivates leading researchers in both empirical and theoretical economics. These dissertation ideas span development, labor, macroeconomics, behavioral theory, and econometric modeling—rooted in real-world economic transformation.
Causal Analysis of Universal Basic Income on Workforce Participation
Game Theoretic Modeling of Climate Policy Negotiations
Structural Estimation of Labor Supply Responses to Tax Reform
Field Experiments on Microfinance Access and Entrepreneurial Growth
Behavioral Nudges and Long-Term Financial Decision-Making
Monetary Policy Transmission in Low-Interest Rate Environments
Digital Payment Adoption and Economic Inclusion in Emerging Markets
Econometric Methods for High-Dimensional Panel Data
Measuring Economic Impact of Pandemics Across Informal Sectors
Machine Learning Models for Predicting Credit Risk in Small Businesses
Public Good Provision and Citizen Participation in Local Governments
Gender Wage Gaps and Promotion Dynamics in STEM Careers
Trade Shocks and Labor Market Outcomes in Developing Economies
Political Economy of Public Infrastructure Allocation
Intergenerational Mobility and Educational Inequality
Dynamic Stochastic General Equilibrium Models for Climate Policy
Tax Avoidance and Compliance under Third-Party Reporting Regimes
Informal Labor Markets and Social Safety Nets in Urban Areas
The Role of Central Bank Communication in Market Volatility
Urban Housing Policy Effects on Migration and Economic Segregation
From empirical modeling to game-theoretic simulations, Collexa helps Stanford Economics Ph.D. students with literature reviews, data cleaning, regression diagnostics, and writing clarity.
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