Partial likelihood methods for panel data

Partial likelihood methods for panel data are statistical techniques used to estimate model parameters in the context of longitudinal data, which consists of observations on multiple entities (such as individuals, firms, countries, etc.) across time. Panel data allows researchers to control for unobserved heterogeneity and better understand dynamic relationships by leveraging the structure of the data. ### Key Concepts of Partial Likelihood Methods 1. **Likelihood Function**: The likelihood function represents the probability of the data given a set of parameters.