Explain probable discrepancies between administrative and experimental data sets. What are the probably administrative data problems? How might experimental techniques assist to mitigate these issues? What are they bringing with them?

[mayur-srivastava-969b4813 (Mayur Srivastava)]

Administrative datasets are frequently utilized by governments and other organizations for non-statistical purposes.

Administrative data is often larger and less expensive than experimental data. They are also updated on a regular basis, providing that the administrative dataset’s linked organization is current and functional. Administrative datasets, on the other hand, may not contain all of the information needed and may not be in the format required. It’s also prone to missing entries and quality problems.