Cash and debt management operations are part of the “transactional” functions of public financial management. It is critical that these functions are resilient to external disruptions, ranging from information and communication technology (ICT) system outages to natural disasters. This technical manual aims to provide guidance on the steps that government cash and debt management units can follow to develop and implement a practical business continuity plan that economizes the resources used. It also discusses the evolving nature of business disruption risks faced by cash and debt management over the last decade, including the COVID-19 pandemic, as well as risk mitigation solutions that have emerged.
It is generally difficult to measure revenue not collected due to noncompliance, but a growing number of countries now regularly produce and publish estimated revenue losses. Good tax gap analysis enables the detection of changes in taxpayer behavior by consistent estimates over time. This Technical Note sets out the theoretical concepts for personal income tax (PIT) gap estimation, the different measurement approaches available, and their implications for the scope and presentation of statistics. The note also focuses on the practical steps for measuring the PIT gap by establishing a random audit program to collect data, and how to scale findings from the sample to the population.
This technical note addresses the following questions: • What are the main ways in which different countries assess and collect personal income tax (PIT) and social insurance contributions (SIC) liabilities (Section I)? • What is the case for transferring responsibility for a country’s SIC collection from its social insurance agency(ies) to its tax authority (Section II)? • What changes does such integration of collection functions involve (Section III)? • Are there any lessons from international experience to guide such reforms (Section IV)? • How to build on these lessons when planning a transfer of collection functions (Section V)? • Are there any beneficial alternatives to full integration of functions (Section VI)?
Mr. Zamid Aligishiev, Mr. Giovanni Melina, and Luis-Felipe Zanna
This note is a user’s manual for the DIGNAR-19 toolkit, an application aimed at facilitating the use of the DIGNAR-19 model by economists with no to little knowledge of Matlab and Dynare via a user-friendly Excel-based interface. he toolkit comprises three tools—the simulation tool, the graphing tool, and the realism tool—that translate the contents of an Excel input file into instructions for Matlab/Dynare programs. These programs are executed behind the scenes. Outputs are saved in a separate Excel file and can also be visualized in customizable charts.
This technical note and manual (TNM) addresses the following questions: (1) What are the main challenges in administering the value-added tax on imported digital services and the measures that countries have introduced to address the challenges?; (2) What are the main challenges in administering the value-added tax on low-value imported goods and the measures that countries have introduced to address the challenges? ;and (3) What are the key tasks in implementing the measures for improving the administration of the value-added tax on imported digital services and low-value imported goods?
International Monetary Fund. Strategy, Policy, & Review Department
The IMF’s Vulnerability Exercise (VE) is a cross-country exercise that identifies country-specific near-term macroeconomic risks. As a key element of the Fund’s broader risk architecture, the VE is a bottom-up, multi-sectoral approach to risk assessments for all IMF member countries. The VE modeling toolkit is regularly updated in response to global economic developments and the latest modeling innovations. The new generation of VE models presented here leverages machine-learning algorithms. The models can better capture interactions between different parts of the economy and non-linear relationships that are not well measured in ”normal times.” The performance of machine-learning-based models is evaluated against more conventional models in a horse-race format. The paper also presents direct, transparent methods for communicating model results.
Mr. Ales Bulir, Daniel Baksa, Mr. Juan S Corrales, Andres Gonzalez, Diego Rodriguez, and Dyna Heng
This technical note and manual (TNM) addresses the following issues: • Evaluating the full implications from the policies adopted to mitigate the impact of the COVID-19 pandemic on the economy requires a well-developed macroeconomic framework. This note illustrates how such frameworks were used to analyze Colombia and Cambodia's shock impact at the beginning of the pandemic. • The use of macroeconomic frameworks is not to infer general policy conclusions from abstract models or empirical analysis but to help policymakers think through and articulate coherent forecasts, scenarios, and policy responses. • The two country cases illustrate how to construct a baseline scenario consistent with a COVID-19 shock within structural macroeconomic models. The scenario is built gradually to incorporate the available information, the pandemic's full effects, and the policy responses. • The results demonstrate the value of combining close attention to the data, near-term forecasting, and model-based analyses to support coherent policies.