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The Oxford Handbook of Panel Data examines new developments in theory and applications in panel data. It includes basic topics like nonstationary panels, co-integration in panels, multifactor panel models, panel unit roots, measurement error in panels, incidental parameters and dynamic panels, spatial panels, nonparametric panel data, random coefficients, treatment effects, sample selection, count panel data, limited dependent variable panel models, unbalanced panel models with interactive effects, and influential observations in panel data. The second part targets applications of panel data in economics, including health, labor, marketing, trade, productivity, and macro applications in panels.
Introduction
Panel Data Models and Methods
Large Panel Data Models with Cross-Sectional Dependence: A Survey
Panel Cointegration
Dynamic Panel Data Models
Incidental Parameters and Dynamic Panel Modeling
Unbalanced Panel Data Models with Interactive Effects
Panel Data Models for Discrete Choice
Panel Conditional and Multinomial Logit Estimators
Count Panel Data
Treatment Effects and Panel Data
Nonparametric Panel Data Regression Models
Measurement Error in Panel Data
Spatial Panel Data Models
Random Coefficients Models In Panels
Robust Panel Data Methods and Influential Observation
Panel Data Applications
The Analysis Of Macroeconomic Panel Data
Cohort Data in Health Economics
Panel Data And Productivity Measurement
Panel Data Discrete Choice Models of Consumer Demand
Panel Econometrics of Labor Market Outcomes
Panel Data Gravity Models of International Trade