Hi everyone
I want to do regression analysis on a dataset with election outcomes in all countries in the world, say, to explore the relationship between party polarization and voting turnout. Since the elections are held in different years and the gap between two elections are all different by country, am I supposed to treat this dataset like analyzing a cross sectional dataset and just simply run OSL on it? Will I have serious consequences that reduce the validity of my research?
For example, the dataset may look like this:
Thank you.
I want to do regression analysis on a dataset with election outcomes in all countries in the world, say, to explore the relationship between party polarization and voting turnout. Since the elections are held in different years and the gap between two elections are all different by country, am I supposed to treat this dataset like analyzing a cross sectional dataset and just simply run OSL on it? Will I have serious consequences that reduce the validity of my research?
For example, the dataset may look like this:
| Argentina | ARG | 2007/1/1 | Presidential | 5 | 1 | 0 | 4 |
| Argentina | ARG | 2011/1/1 | Presidential | 4 | 1 | 0 | 4 |
| Argentina | ARG | 2013/1/1 | Presidential | 1 | 1 | 2 | 4 |
| Argentina | ARG | 2017/1/1 | Presidential | 2 | 1 | 2 | 4 |
| Argentina | ARG | 2019/1/1 | Presidential | 4 | 1 | 0 | 4 |
| Armenia | ARM | 1995/1/1 | Presidential | 5 | 0 | 1 | -999 |
| Armenia | ARM | 1999/1/1 | Presidential | 1 | 1 | 4 | 4 |
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