If this data is disaggregate, then it is not called pooled data.

Numerical values observed /received as as behavour or measurement of phenomenon/parameters/variable /attributes as a outcome of year wise experiment for 3 years when make a single values by using statistical methods for interpretation are pooled data. These are basically make to enhance precision of the experiment.

In pooled cross section, we will take random samples in different time periods, of different units, i.e. each sample we take, will be populated by different individuals. This is often used to see the impact of policy or programmes. For example we will take household income data on households X, Y and Z, in 1990. And then we will take the same income data on households G, F and A in 1995. Although we are interested in the same data, we are taking different samples (using different households) in different time periods.

Hi Hasan

1. If you have data on hospital admissions from 2000-2010 for one Hospital (say Hospital A) then that would a 'Time-Series' data.

2. If you have data on hospital admissions from 2000-2010 for more than one Hospital (say Hospital A, B, C - the Hospitals remain the same), then that would a 'Panel' dataset.

3. If you have data on hospital admissions from 2000-2010 for one set of Hospitals (say Hospital A, B, C) and then from 2011-2020 for a different set of Hospitals (say Hospital D, E, F) then that would be a 'Pooled dataset' as mentioned by Mohamad Mahdi Sharifi .

Regards

Arun

Thank you everyone. I got the concept of pooled data. My question is I have a data where 500 individuals filled the questionnaire in 2005

Data was again collected from same 500, but only 100 people participated. Rest of the people didnt. So with 400 missing participants what options I have?

Can i compare 2005 to 2011? Would it be realiable estimates?

As the data was from same participants in 2005 and 2011, so we cant combine 2005 and 2011 data as a pooled data. right?

Arun Vishnu Kumar

I would be really thankful if you can guide on this.

Hi Hasan

I could only think of two ways of doing this:

1. Do two separate cross-section analyses for 2005 (100 people) and 2011 (100 people) and compare the results. Taking the same 100 people from both the years.

2. You could a pooled data analysis by pooling 2005 data (100 people) and 2011 (100 people). Taking the same 100 people from both the years.

Arun

Hi Hasan,

Pooled data is a mixture of time series data and cross-section data.

You can look at my research paper where I did pooled data analysis.If you have any other questions, please let me know.

https://www-tandfonline-com.ezproxy.uow.edu.au/doi/pdf/10.1080/16549716.2017.1410048?needAccess=true&