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Public Debt, Investment, and Growth: The DIG and DIGNAR Models (DIGx)

DIGx

This online course explains how to analyze the relation between public investment, growth, and public debt dynamics using two dynamic structural models: the Debt, Investment, and Growth (DIG) model and the Debt, Investment, Growth and Natural Resources (DIGNAR) model. The course presents the key pieces of these models (the investment-growth nexus, the fiscal adjustment, and the private sector response) and their interactions. It elaborates on important factors that may shape these effects such as the type of financing, the rate of return of public capital, the efficiency of public investment, and the capacity of governments to mobilize revenues.
 

The DIG and DIGNAR models have complemented the debt sustainability analyses done by the IMF and the World Bank, with over 65 country applications in the context of Fund-supported programs and surveillance work. They have helped inform policy analysis, on issues not only related to public investment surges but also to fiscal consolidations, cash transfers to poor households, the mix of public current and capital expenditures, the efficiency of public spending and tax administration, and the collapse of commodity prices, among other areas. The course illustrates some of these applications.

Topic : Fiscal Issues

Target Audience

All government officials are welcome to register. This course is particularly useful for officials from ministries of finance, debt agencies, central banks, and other government agencies responsible for providing advice or implementing macroeconomic and debt policies.

Qualifications

Some knowledge of economics is helpful. Basic Microsoft Excel skills are essential.
 

Course Objectives

Upon completion of this course, participants should be able to:

Analize the key elements of the DIG and the DIGNAR models.

Analyze public investment scale-ups.

Explain how the effects of public investment surges depend on policy responses, the type of financing, and structural factors.

Interpret scenario analyses using the DIG and DIGNAR models, as reflected in IMF documents.

Upcoming Offering

Start dateEnd dateLocationDelivery MethodSession No.Primary & (Interpretation) languageApply
May 1, 2025April 15, 2026Course conducted onlineOnline TrainingOL 25.145EnglishApply online by April 1, 2026