Panel Data Analysis is a statistical method that examines data collected from multiple subjects over time. This approach allows researchers to analyze changes within subjects, such as individuals, companies, or countries, while also considering variations between them. By using both cross-sectional and time-series data, it provides a more comprehensive view of trends and relationships. One of the key advantages of Panel Data Analysis is its ability to control for unobserved variables that may influence the results. This helps improve the accuracy of estimates and allows for better understanding of causal relationships, making it a valuable tool in fields like economics, social sciences, and health research.