Say I wanted to measure the impact of government intervention and I had a data set that looked like this:

Year Area code GovIntervene AnyGovIntervene Dependent Variable
2019 119 0 0 4
2018 119 6 1 8
2017 119 8 1 6
2019 120 9 1 8
2018 120 0 0 9
2017 120 0 0 23

And the model looks like this:

Dependent variable = A + BGovIntervene + Fixed effect for area code + fixed effect for year

or

Dependent variable = A + BAnyGovIntervene + Fixed effect for area code + fixed effect for year

Where the variable “AnyGovIntervene” is a dummy variable of “GovIntervene”. What difference would these 2 models have in terms of what the regression output would show?