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Home/Statistics/How to Distinguish Cross-Section Data, Time Series Data, and Panel Data

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How to Distinguish Cross-Section Data, Time Series Data, and Panel Data

By Kanda Data / Date Jul 28.2023
Statistics

Time Series Data (Definition and Example)

Time series data is collected from one object measured over several periods. The object here means the variable being measured, for example, consumption, production, and other data.

The several periods here are intended as periods determined by researchers. For example, researchers can collect consumption data from 2010-2020.

I will try to give an example to understand how to collect time series data. For example, a researcher will observe the relationship between domestic production and export volume.

This researcher collected data on the amount of domestic production and Indonesia’s export volume for a commodity from 1990 to 2020. Based on the data collected by the researcher, it shows that the researcher collected time series data.

This time series data is often identified with secondary data. Generally, the time series data used is national data or data at the micro level collected over several periods.

When using time series data, researchers need to be realistic in determining research objectives according to data availability.

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Tags: 4 types of data in econometrics, cross-section data, econometrics, Kanda data, panel data, panel data differences from time series data, statistics, time series data

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