paneldatametoder
Paneldatametoder is a set of statistical and econometric techniques designed for data that track the same units over time, i.e., panel data. The two dimensions—cross-sectional units (such as individuals, firms, or countries) and time—allow researchers to control for unobserved heterogeneity that is fixed over time and to study dynamic relationships.
The main modelling approaches include pooled estimations, fixed effects, and random effects. Pooled ordinary least squares
Dynamic panel data, where lagged dependent variables appear as regressors, require specialized estimation due to endogeneity.
Challenges common to paneldata metoder include serial correlation, heteroskedasticity, cross-sectional dependence, and unit-root or cointegration issues