Stata Panel Data -

Important for macro or spatial panels.

: No unobserved individual-specific effects exist (

(missing time periods for some subjects) automatically in most 📈 4. Advanced Models stata panel data

Panel data (or longitudinal data) tracks the same entities—such as individuals, firms, or countries—over multiple time periods. In Stata, these models fall under the xt (cross-sectional time-series) command suite. 1. Data Preparation and Setup

To tell Stata your data is longitudinal, use the xtset command, which defines the panel variable (e.g., entity ID) and the time variable (e.g., year) [5.3]: xtset id year Use code with caution. Once set, you can use xt prefix commands. 2. Descriptive Analysis of Panel Data Important for macro or spatial panels

* 1. Load and prepare clear all webuse nlswork, clear keep if year >= 70 & year <= 80 drop if missing(ln_wage, hours, tenure, age)

gen lag_gdp = L.gdp

The xtsum command splits the overall standard deviation into between and within variations: xtsum income education experience Use code with caution. : Variation across the entire dataset.

Can estimate time-invariant variables and is generally more efficient if its assumptions hold. D. Choosing Between FE and RE: Hausman Test To determine whether to use FE or RE, run a Hausman test: In Stata, these models fall under the xt

: [Your Name] is an applied econometrician specializing in longitudinal data analysis using Stata. This article is part of the Stata Mastery Series .