← All questionsGS3 · 2023 · Economy & Infrastructure ·Unemployment Measurement & Structural Joblessness
QUESTION PYQ 16
GS3
15 marks

Most of the unemployment in India is structural in nature. Examine the methodology adopted to compute unemployment in the country and suggest improvements.

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11 min
250 words

What the examiner wants

For Unemployment Measurement & Structural Joblessness, examine in sequence: first, Most of the unemployment in India is structural in nature.; then, Examine the methodology adopted to compute unemployment in the country and. Keep evidence and the conclusion tied to these exact limbs.

ExamineGo into the details, test each point against evidence, and conclude on what it shows.

Demand-wise check

  1. 1Most of the unemployment in India is structural in nature≈65 words
  2. 2Examine the methodology adopted to compute unemployment in the country and≈65 words
  3. 3Use at least two question-relevant examples/evidence points to support the final judgment on Unemployment Measurement & Structural Joblessness, proportionate to a 250-word answer≈65 words

Open in about 30 words and close in about 30.

Answer plan

Concept/mechanismTransmission channelOfficial evidenceGainsRisks/constraintsCalibrated policy response for Unemployment Measurement & Structural Joblessness

Where marks usually go

  • Over-writing ‘Most of the unemployment in India is structural in nature.’ while reducing ‘Examine the methodology adopted to compute unemployment in the country and’ to a token paragraph
  • Giving only one side on Unemployment Measurement & Structural Joblessness; the directive requires a limitation, counter-view or implementation test before the final judgment

Value addition

  • Unemployment Measurement & Structural Joblessness: mechanism/value-chain diagram — input/constraint → transmission → outcome → policy lever
    → Draw it in the body, next to the point it supports.

Verified value additions

These are verified official-source additions selected for this exact PYQ. Use only the point that strengthens your argument.