Question

While similar in some respects, the key difference between panel data and pooled cross-sectional data is that panel data consist of individual cross-sectional units, which are tracked over time. This need not be the case with pooled cross-sectional data.
Yes/No

Answer 1

Answer:Yes

Explanation:

Pooled data occur when there is a time series of different cross sections with each observations not necessarily from the same unit while Panel data is sample from the same units. The main difference between them is the "units". The units can be countries, households, schools or other things we are collating data on.

In pooled cross section, random samples from different time periods and from different units are taken e.g. we can take data on number of females and males in schools A, B and C in 2020 and schools X, Y and Z in 2023.

In pure panel data, we are using the same units e.g we can take data on genders in schools A, B and C in 2020 and collect data from the same schools in 2023. Therefore the main difference is just the units we observe.