Identification and Estimation of Dynamic Structural Models with Unobserved Choices

Explore a comprehensive lecture on the identification and estimation of dynamic structural models with unobserved choices. Delve into Yi Xin's research from Caltech, presented at the Simons Institute as part of the Information Design and Data Science series. Gain insights into the motivation, research questions, and existing literature on DDCA. Examine a basic model and its dynamic process, understanding the intuition and assumptions on state transition processes. Learn about identification methods, closed-form solutions, and ordering assumptions. Discover various extensions, including dynamic discrete games, and discuss key assumptions. Analyze summary statistics, probabilities of shirking, and review the main findings of this complex econometric topic.

Intro
Motivation
Research Question
Existing Literature on DDC
A Basic Model
Dynamic Process of
Intuition
Assumption on the State Transition Process
Identification
Closed-Form Solution
Ordering Assumption
Outline
Extensions
Extension 4: Dynamic Discrete Games
Discussion - Assumption 8
Summary Statistics
Probabilities of Shirking
Summary of Findings