FBR applies buoyancy-based tax collection forecasting for 2026-27
SOHAIL SARFRAZ
ISLAMABAD: The Federal Board of Revenue (FBR) has applied the buoyancy-based forecasting framework to estimate the tax collections for 2026-27.
According to a FBR report on tax estimates for 2026-27 issued on Thursday, to enhance the robustness and reliability of the projections, buoyancy coefficients have been recalibrated using the latest available FBR revenue data in conjunction with National Accounts statistics. The macroeconomic dataset incorporates key indicators-GDP, Large-Scale Manufacturing (LSM), and imports-covering a comprehensive 20-year period from FY2005-06 to FY2024.
The use of a long time series strengthens the statistical validity of the estimates by capturing multiple economic cycles, structural shifts, and policy phases, it said.
Buoyancy for each major tax head has been estimated through a log-linear regression framework implemented in Excel.
This methodological approach quantifies the elasticity of tax revenues with respect to changes in their underlying macroeconomic bases, enabling an empirical assessment of how strongly each tax responds to economic expansion.
While relatively simple, this technique provides transparency, replicability, and operational practicality for institutional forecasting purposes.
The report highlighted that once the buoyancy coefficients were estimated, projected growth rates of macroeconomic variables-GDP, large scale manufacturing (LSM) and imports were applied to their corresponding tax-specific buoyancy parameters. This step yields the autonomous growth rate for each tax category, representing the increase in revenue attributable solely to economic activity under unchanged policy conditions. By isolating autonomous growth, the model clearly distinguishes structural revenue expansion from discretionary policy measures.
The calculated autonomous growth rates were then applied to the projected base year collections for FY2025-26 to estimate incremental revenue for FY2026-27.
The additional revenue derived from this process was added to the base year collections to arrive at the final projections. These figures therefore represent baseline revenue expectations, excluding the impact of any new taxation measures, rate adjustments, or policy reforms that may be introduced during the 2026-27 budget process, FBR maintained.
Analytically, this approach ensures methodological consistency and policy neutrality in baseline forecasting.