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Question		Answer
Time-varying covariates start learning		variables that change for the same entity over time.
Time-invariant characteristics start learning		Attributes that do not change over time within entities
Individual Specific Effects start learning		unique characteristics associated with each cross-sectional unit in the dataset.
Observable factors start learning		measurable variables that influence the dependent variable
Unobservable factors start learning		hidden variables that affect the dependent variable
Fixed effects start learning		Fixed effects capture unobserved variables that are constant over time but vary between entities.
Random Effects start learning		effects that assume random variation between entities in intercepts and slopes.
Between Estimator start learning		An estimator that uses the variation between individuals, ignoring the within-individual changes.
Within Estimator start learning		Another term for fixed effects estimators; refers to estimating relationships using only within-individual variation.
Instrumental Variables start learning		Variables that help control for endogeneity by being correlated with the endogenous explanatory variable but not with the error term.

Ekonometria ENG