Regression modelEconometrics / time series
Nonlinear Dynamic Panel Data Model
The nonlinear dynamic panel data model extends standard panel methods to settings where the outcome is binary, count-valued, or censored and where past realizations of the outcome directly affect current ones. It handles unobserved individual heterogeneity alongside state dependence, disentangling genuine persistence from spurious persistence driven by unmeasured unit characteristics.
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Sources
- Wooldridge, J. M. (2005). Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity. Journal of Applied Econometrics, 20(1), 39-54. DOI: 10.1002/jae.770 ↗
- Honore, B. E., & Tamer, E. (2006). Bounds on parameters in panel dynamic discrete choice models. Econometrica, 74(3), 611-629. DOI: 10.1111/j.1468-0262.2006.00680.x ↗