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What is Panel Data & Panel Data Analysis Method?

Full text: https://phantran.net/choosing-fixed-e... Database: https://drive.google.com/file/d/1G3NF... Data in excel: https://docs.google.com/spreadsheets/... In statistics and econometrics, panel data and longitudinal data are both multi-dimensional data involving measurements over time. Panel data is a subset of longitudinal data where observations are for the same subjects each time. Time series and cross-sectional data can be thought of as special cases of panel data that are in one dimension only (one panel member or individual for the former, one time point for the latter). A literature search often involves time series, cross-sectional, or panel data. Cross-panel data (CPD) is an innovative yet underappreciated source of information in the mathematical and statistical sciences. CPD stands out from other research methods because it vividly illustrates how independent and dependent variables may shift between countries. This panel data collection allows researchers to examine the connection between variables across several cross-sections and time periods and analyze the results of policy actions in other nations. A study that uses panel data is called a longitudinal study or panel study. Panel data can be useful for professionals to collect, depending on what they're studying. Here are some advantages of using panel data when conducting research studies: + Results in strong correlations: By combining information from the same test subjects over a long period of time, you can use panel data to correlate two or more variables with limited amounts of statistical uncertainty. For example, a study may collect annual data on the same 100 individuals' levels of education and household incomes over a 15-year period. In this case, the researchers can use panel data to make a positive correlation between education and income. + Predicts future trends: Panel data allows you to predict how two or more variables are likely to interact in the future. It does this by tracking how the variables have historically behaved throughout the course of a study. For instance, researchers may be able to predict housing prices over the next five years by referencing panel data on city-specific housing prices from the past 20 years. + Collects data for future analysis: The panel data you collect now may provide insight for future studies related to variables included in your data. For instance, a current study on employment in the 1940s may use panel data collected during that decade to help researchers optimize their analysis. The 1940s data may include information like average wages, job types and unemployment rates, which can help current researchers better understand employment trends in the past.