Measurement of Informal-Sector Output

Informal-sector output is the production of goods and services by small, often household-owned or unincorporated enterprises that are not fully covered by regular administrative reporting. National accounts must estimate their gross value added, not merely their sales or incomes. Informality is not synonymous with illegality or tax evasion.

Gaps in basic information

Informal enterprises commonly operate without standard accounts, making output and production costs difficult to establish separately.

• Cash transactions, weak bookkeeping and recall errors reduce the reliability of data on sales, inventories and intermediate consumption.
• Frequent entry, closure, relocation and seasonal operation make a complete and current sampling frame difficult to maintain.
• Own-produced goods, barter and mixed household-business use of assets require imputation and allocation rather than direct observation.
• Non-response or under-reporting can produce systematic bias, which a larger sample alone cannot remove.

Problems of valuation and aggregation

National income accounting must apply a consistent production boundary and avoid treating the entire turnover of an enterprise as income.

• Value added equals output minus intermediate consumption; incomplete cost records can therefore distort the estimate.
• Combining enterprise surveys, household surveys and administrative records can cause omission or double counting when units and transactions are classified differently.
• Large differences across activities, regions, enterprise sizes and worker productivity make a single expansion factor unreliable.

How national accounts estimate it

Statistical agencies use benchmark enterprise and household surveys, labour-input information, commodity-flow methods and available administrative data. Benchmark estimates are extrapolated between surveys using indicators and productivity assumptions.

• Estimates become less reliable when benchmark ratios and weights grow outdated after structural or technological change.
• Survey redesigns, improved coverage and revised assumptions can create breaks or revisions in the measured series even when underlying production changes smoothly.