Answer: There are 3 different ways.
1. The Output Method (all value added by each producer),
2. The Income Method (all income generated) and.
3. The Expenditure Method (all spending).
Explanation:
Output Method
The Output Method measures GDP as the value of
1. Output (what is produced)
2. minus the value of goods and services used up in producing these outputs (the inputs or Intermediate Consumption)
3. plus all Taxes on Products like VAT
4. minus all Subsidies on Products like renewable energy subsidies
Income Method
The income method measures GDP by adding together:
1. The Gross Profit of companies and the Self-Employed,
2. plus the wages of employees (Compensation of Employees).
3. plus all Taxes on Products like VAT
4. minus all ( like renewable energy subsidies.
Expenditure Method
In the expenditure approach, as the name implies, we measure how much is spent on goods and services. It is important that spending is only counted once. We estimate:
1. Consumer spending by individuals (Personal Consumption Expenditure)
2. plus Net Expenditure by Central and Local Government
3. plus all Capital Spending (such as buildings and machines)
4. plus Exports, since exports contribute to Ireland's GDP because it is spending by other countries on Irish-produced goods and services
5. minus Imports because this total is spending on the outputs of other countries.
The three approaches should theoretically give the same answer. However, in practice, they will always diverge to some extent as they are derived from different data sources. This is the experience in all countries. Countries resolve the problem in various ways. In Ireland, the official level of GDP is taken to be the average of the income and expenditure estimates. A balancing item (statistical discrepancy) is also displayed which is half of the difference between the two estimates. This is the amount by which both estimates have to be adjusted to agree with the official level of GDP. The statistical discrepancy is just a small component of the total estimate because the source data is analyzed in fine detail to resolve as many inconsistencies as possible.