Making Cost Data Work for Public Financial Management
August 8, 2025
Disclaimer: IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.
Summary
Subject: Budget planning and preparation, Expenditure, Fiscal accounting and reporting, Performance-based budgeting, Public financial management (PFM)
Keywords: Anomaly detection, Automation, Budget credibility, Budget planning and preparation, Cost accounting, cost accounting data, cost data, Digital transformation, Digitalization, Financial Management Information Systems, Fiscal accounting and reporting, Global, GovTech, Interoperability, Machine learning, machine learning algorithm, Performance budgeting, Performance-based budgeting, Procurement
Pages:
42
Volume:
2025
DOI:
Issue:
159
Series:
Working Paper No. 2025/159
Stock No:
WPIEA2025159
ISBN:
9798229021470
ISSN:
1018-5941






