The most frequently used experimental or observational data in econometrics are of the following type:
A)cross-sectional data.
B)randomly generated data.
C)time series data.
D)panel data.

Question

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Cross-sectional data is a type of data that is collected at a point in time from different individuals, households, firms or regions. This type of data is commonly used to estimate the relationship between different variables and to test economic theories.

Time series data, on the other hand, involves data collected over a period of time. This data is valuable for examining trends and patterns in economic variables over time. It is also useful for forecasting future economic trends.

Randomly generated data and panel data are less frequently used in econometrics. Randomly generated data is not reflective of real-world economic conditions, and panel data requires a lot of resources to collect and analyze. Therefore, cross-sectional and time series data are the most common types of data used in econometrics.

The Most Frequently Used Experimental or Observational Data in Econometrics