Positive Economic Analysis: What Is, Not What Ought to Be
Imagine you're watching the evening news. Two different types of statements might come up:
"The unemployment rate has fallen to 6.5% this quarter."
"The government should do more to help the unemployed."
The first statement is about a fact — something you could, in principle, check with data. The second is about a value judgment — what someone believes ought to happen. Positive economic analysis deals with the first kind of statement. It is the branch of economics that describes, explains, and predicts economic phenomena as they are, without saying whether they are good or bad.
The precise meaning
Positive economics is objective and testable. A positive statement can be proven true or false by looking at evidence. For example:
- "A rise in the price of petrol leads to a fall in the quantity demanded." — This can be tested with data.
- "If the government increases the GST rate on luxury cars, tax revenue will rise." — This is a prediction that can be checked.
Positive analysis does not ask "Should we do this?" It asks "If we do this, what will happen?" It is the toolkit economists use to build models, run regressions, and make forecasts.
Why it matters for you
In Class 11 and 12, almost everything you learn in Microeconomics and Macroeconomics is positive analysis. When you study the law of demand, you are learning a positive relationship: price up, quantity demanded down (ceteris paribus). When you study the multiplier, you are learning a positive formula that tells you how much national income will change given a change in investment.
Positive economics is value-free in its method. It does not say whether a policy is fair or just — only what its likely consequences are. The moment you add "should" or "ought", you have moved into normative economics.
Where it has a formula: The Expenditure Multiplier
A classic example of positive analysis in macroeconomics is the investment multiplier. The NCERT textbook (Class 12, Macroeconomics) states the formula:
K=1−MPC1
Where:
- K = the multiplier (the factor by which national income changes)
- MPC = marginal propensity to consume (the fraction of additional income that is spent on consumption)
This is a positive relationship. It tells you: If the MPC is 0.8, then a ₹100 crore increase in investment will increase national income by ₹500 crore (because K=1/(1−0.8)=5). You can test this prediction against real data. The formula does not say whether the increase is desirable — that is a separate question.
A diagram in words …