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Europe > Slovenia, Republic of

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Cover Technical Assistance Reports
Republic of Slovenia: Technical Assistance Report-Public Investment Management Assessment
International Monetary Fund. Fiscal Affairs Dept.
Slovenia’s public investment management institutions, as assessed by the PIMA, perform well overall relative to European peers. Availability of funding for public investment, fiscal targets and rules, maintenance funding and monitoring of public assets are areas of strength. Key areas for improvement are appraisal and selection of projects, procurement, and portfolio management and oversight. The near-term challenge will be to address bottlenecks in the execution of capital projects. Over the medium to longer term, tighter fiscal constraints will raise the premium for stronger appraisal and selection processes.
Keywords:
Public investment management assessment; PIMA; Infrastructure governance; project appraisal; medium-term fiscal planning; Republic of Slovenia.; State secretary; IMF's Fiscal Affairs Department; D. investment implementation; management institution; C. investment allocation; Public investment spending; Budget planning and preparation; Infrastructure; Fiscal risks; Capital spending; Eastern Europe; Europe; Global
Cover Technical Assistance Reports
Republic of Slovenia: Technical Assistance Report-Data-Driven Risk Assessment
International Monetary Fund. Fiscal Affairs Dept.
This short-term expert (STX) visit focused on the use of data, analytics, and tools to help improve risk assessment capabilities. Over the course of the mission, the team conducted four workshops and five one-to-one sessions to provide guidance on ideal organizational arrangements to support data analytics, improvement of data workflows, leveraging the value of country-by-country reports, and development of data analytics/risk assessment models by using data science and big data analytics. The well-engaged SFA staff were convinced by the promising results of the new pilot risk assessment models with a solid level of commitment to apply big data anal
Keywords:
Data; analytics; risk assessment; country-by-country reporting; corporate income tax; organizational arrangements; data science; big data analytics.
Cover Technical Assistance Reports
Republic of Slovenia: Technical Assistance Report-Data-Driven Risk Assessment (Follow-Up)
International Monetary Fund. Fiscal Affairs Dept.
As a follow-up to the November 2022 field-based assignment to help improve risk assessment capabilities, Dr. Ludvig Wier provided additional guidance to the Slovenia Revenue Administration (SFA). This short virtual assignment focused on resolving implementation issues faced by SFA as they develop new modernized approaches to risk assessment for corporate income tax (CIT).
Keywords:
Data; analytics; risk assessment; country-by-country reporting; corporate income tax; organizational arrangements; data science; big data analytics