Panel data analysis involves studying data that looks at multiple phenomena over time. This helps us understand how different factors affect outcomes. The researchers looked at data from a study on investment theory to analyze the impact of firm value and capital stock on investment. They used different models to see how these factors interact, including fixed effects and random effects models. The results showed that these models can help us better understand the relationships between variables in panel data.