How to substract multiple columns based on three conditions

This is my dataset where I have different countries, different models for the different countries, years and the price and volume.

  data_dic = {
    "Country" : [1,1,1,1,2,2,2,2],
    "Model" : ["A","B","B","A","A","B","B","A"],
    "Year": [2005,2005,2020,2020,2005,2005,2020,2020],
    "Price" : [100,172,852,953,350,452,658,896],
    "Volume" : [4,8,9,10,12,6,8,9]
}

    Country Model   Year    Price   Volume
0   1   A   2005    100 4
4   2   A   2005    350 12
3   1   A   2020    953 10
7   2   A   2020    896 9
1   1   B   2005    172 8
5   2   B   2005    452 6
2   1   B   2020    852 9
6   2   B   2020    658 8

I would like to obtain the following where 1) column "Difference_Price" is the difference in price for Country 1 of Model A between the year 2005 and 2020 and 2) column "Difference_Volume" is the difference in volume for Country 1 of Model A between the year 2005 and 2020.

data_dic2 = {
    "Country" : [1,1,1,1,2,2,2,2],
    "Model" : ["A","B","B","A","A","B","B","A"],
    "Year": [2005,2005,2020,2020,2005,2005,2020,2020],
    "Price" : [100,172,852,953,350,452,658,896],
    "Volume" : [4,8,9,10,12,6,8,9],
    "Diffence_Price": [853,680,680,853,546,206,206,546],
    "Diffence_Volume": [6,1,1,6,3,2,2,3],
}
print(data_dic2)

Country Model   Year    Price   Volume  Diffence_Price  Diffence_Volume
0   1   A   2005    100 4   853 6
4   2   A   2005    350 12  546 3
3   1   A   2020    953 10  853 6
7   2   A   2020    896 9   546 3
1   1   B   2005    172 8   680 1
5   2   B   2005    452 6   206 2
2   1   B   2020    852 9   680 1
6   2   B   2020    658 8   206 2

My whole dataset has up to 50 countries and I have up to 10 models with years ranging 1990 to 2030. I am still unsure how to account for the multiple conditions of three columns so that I can substract automatically the column Price and Volume based on the three conditions (i.e., Country, Year and Models)?

Thanks !