Okun's law

Topic: Employment, Unemployment and Informalisation · NCERT: Beyond NCERT

Meaning

Okun's law says that when the unemployment rate rises above its natural rate, actual output falls below potential output (the most the economy can produce without pushing inflation up) by a larger percentage. Arthur Okun first described it in 1962.

It matters because it links two things policymakers watch: jobs and GDP. It tells us roughly how much output a country loses when people who want work cannot find it.

Formula: Output gap (%) ≈ −β × (UR − natural rate), with β ≈ 2 to 3.

Explanation

How it works

• Output gap (how far actual output is from potential output, in %):
• Negative gap: the economy is producing less than it can.

• Positive gap: it is producing more than it can keep up.

• Natural rate of unemployment is frictional plus structural unemployment. It is the unemployment that remains even at full employment.

• Okun's law is about the extra unemployment above this natural rate. That extra part is cyclical unemployment (joblessness caused by too little total spending in a recession).
• Why output falls by more than unemployment rises:
• In a slump, firms first cut working hours and overtime. Only later do they lay people off.
• Workers who still have jobs are used less fully, so productivity per worker falls.
• Some jobless people stop looking for work. They leave the labour force and are no longer counted as unemployed.

• So output drops by more than the unemployment rate (UR) goes up.

• Rule of thumb: each 1 percentage point of UR above the natural rate comes with an output gap of about 2-3%.

Worked example

• Natural rate = 5%. Actual UR = 7%. β = 2.5.
• Excess unemployment = 7 − 5 = 2 percentage points.
• Output gap ≈ −2.5 × 2 = −5%.
• So actual output is about 5% below potential.
• Read the other way round (the IMF form): a coefficient of about −0.4 means each 1% of output gap moves UR by about 0.4 percentage point. A −5% gap × 0.4 = about 2 percentage points of extra UR, which matches the example above [4].

Evidence: where it holds and where it doesn't

• Advanced economies: the IMF study Okun's Law: Fit at 50? (2013) found the law strong and stable in most advanced economies, including during the Great Recession. Its estimated coefficient was about −0.4 [4].
• Developing economies: later IMF research (2021) found that UR responds less to rises and falls in output than it does in advanced economies [5].
• What makes the link weaker:
• A large informal sector, where people take any work instead of staying openly unemployed.
• No unemployment insurance, so few people can afford to wait without a job.

• Workers moving back to farms or into self-employment during slowdowns.

• It is an empirical rule, not a law of nature. It comes from past data, and β differs from country to country and from one period to another.

In India

• Who measures unemployment: the Periodic Labour Force Survey (PLFS), run by the NSO under MoSPI [1][2].
• Latest figures:
• UR under usual status (a person's main activity over the last 365 days, plus any side activity) was 3.2% for people aged 15 and above in PLFS 2023-24 [1].
• The overall UR (15+) fell from 6.0% (2017-18) to 3.2% (2023-24) [3].

• Youth UR (15-29 years) was 10.2% in 2023-24, about three times the overall rate [2].

• Why Okun's law fits India poorly:

• A slowdown pushes people into low-productivity work, not into open unemployment:
  • Workers move into self-employment, farm work or casual work.
  • Output falls, but the measured UR barely moves.
• Example: after COVID-19, many workers went back to agriculture. Output was badly hit, but much of the job loss showed up as lower-quality work, not as a much higher UR.

• Poor people cannot afford to stay unemployed. So India's low open UR hides disguised unemployment (more people working on a job, often a family farm, than it needs) and underemployment (working fewer hours or at lower productivity than people want or could).

• Better signals for India: formalisation data, such as net new EPFO subscriptions, which rose from 61 lakh (FY19) to 131 lakh (FY24) [3].

Don't confuse with

• Phillips curve / NAIRU: these link unemployment with inflation. If UR is pushed below NAIRU, inflation speeds up. Okun's law links unemployment with output (GDP), not with prices.
• Natural rate of unemployment: this is the benchmark (frictional + structural). Okun's law measures the output cost of unemployment above that benchmark, which is cyclical unemployment.
• Hysteresis: a recession leaves unemployment high for a long time and raises the natural rate itself. Okun's law describes the short-run link between the output gap and cyclical unemployment.
• Disguised unemployment: workers are counted as employed even though their marginal productivity (the extra output from one more worker) is close to zero. It is exactly why the measured UR in India does not move in step with output, as Okun's law expects.

Prelims Hooks

• Okun's law (Arthur Okun, 1962): 1 percentage point of UR above the natural rate goes with an output gap of about 2-3%.
• Formula: Output gap ≈ −β × (UR − natural rate), with β ≈ 2 to 3. The relationship is negative (inverse): higher UR means a bigger negative output gap.
• It links unemployment with output, not inflation. Trap: the Phillips curve and NAIRU link unemployment with inflation.
• IMF (2013), Okun's Law: Fit at 50?: the law is strong and stable in most advanced economies. The coefficient is about −0.4 [4].
• IMF (2021): UR responds less to output swings in developing economies [5]. So the law fits India poorly.
• PLFS 2023-24: UR (usual status, 15+) = 3.2%; PLFS is conducted by NSO under MoSPI [1].

Mains Points

• Jobless growth and weak Okun's link: India's UR fell from 6.0% (2017-18) to 3.2% (2023-24) [3]. But because shocks push workers into informal, low-productivity work, the UR alone cannot show how much output is lost. Policy should also track underemployment, earnings and formalisation, such as EPFO additions [3].
• Counter-cyclical policy: where Okun's law holds, cutting cyclical unemployment through fiscal stimulus (more government spending or tax cuts) or monetary stimulus (repo rate cuts) directly narrows the output gap. In India, the output cost of a slowdown appears as hidden underemployment, so support such as MGNREGA and early-career employment programmes also protects output and incomes.
• Scarring risk: if cyclical unemployment lasts too long, hysteresis turns it into structural unemployment and raises the natural rate. Potential output then falls too. This matters most for youth, whose UR was 10.2% in 2023-24 [2]. It argues for quick action in a downturn.

Related concepts

• Voluntary unemployment
• Involuntary unemployment
• Frictional unemployment
• Structural unemployment
• Cyclical unemployment
• Technological unemployment
• Natural rate of unemployment
• Hysteresis
• Efficiency wage
• Labour arbitrage

Read more

• Unemployment in macroeconomic theory