Focusing on advanced microeconometric methods, this revised graduate-level text integrates cross-section and panel data techniques while emphasizing behavioral assumptions. It balances rigor with intuitive insights, covering both linear and nonlinear models, including those addressing dynamics and individual differences. The book details various estimation frameworks, such as methods of moments and maximum likelihood, alongside specific models like probit, logit, Tobit, and approaches for count data, missing data, and causal effects, making it a comprehensive resource for econometric research.
