PhD Economics Intern - Structural IO, Summer 2027

Amazon Economics is seeking Structural IO Economist (STRUC) Interns who are passionate about applying structural econometric methods to solve real-world business challenges. STRUC economists specialize in the econometric analysis of models that involve the estimation of fundamental preferences and strategic effects. In this full-time internship (40 hours per week, with hourly compensation), you"ll work with large-scale datasets to model strategic decision-making and inform business optimization, gaining hands-on experience that"s directly applicable to dissertation writing and future career placement.

By applying to this role, you are automatically being considered for all our available STRUC internships in 2027.

Key job responsibilities

As a STRUC Economist Intern, you"ll specialize in structural econometric analysis to estimate fundamental preferences and strategic effects in complex business environments. Your responsibilities include:

• Analyze large-scale datasets using structural econometric techniques to solve complex business challenges
• Applying discrete choice models and methods, including logistic regression family models (such as BLP, nested logit) and models with alternative distributional assumptions
• Utilizing advanced structural methods including dynamic models of customer or firm decisions over time, applied game theory (entry and exit of firms), auction models, and labor market models
• Building datasets and performing data analysis at scale
• Collaborating with economists, scientists, and business leaders to develop data-driven insights and strategic recommendations
• Tackling diverse challenges including pricing analysis, competition modeling, strategic behavior estimation, contract design, and marketing strategy optimization
• Helping business partners formalize and estimate business objectives to drive optimal decision-making and customer value
• Build and refine comprehensive datasets for in-depth structural economic analysis
• Present complex analytical findings to business leaders and stakeholders