Selim Elekdag

Romain Lafarguette

Mr.Adrian Alter

Mr.Ananthakrishnan Prasad

Mr.Phakawa Jeasakul

Alan Xiaochen Feng

Changchun Wang

The growth-at-risk (GaR) framework links current macrofinancial conditions to the distribution of future growth. Its main strength is its ability to assess the entire distribution of future GDP growth (in contrast to point forecasts), quantify macrofinancial risks in terms of growth, and monitor the evolution of risks to economic activity over time. By using GaR analysis, policymakers can quantify the likelihood of risk scenarios, which would serve as a basis for preemptive action. This paper offers practical guidance on how to conduct GaR analysis and draws lessons from country case studies. It also discusses an Excel-based GaR tool developed to support the IMF’s bilateral surveillance efforts.

Growth at Risk: Concept and Application in IMF Country Surveillance

Erlend Nier

Zohair Alam

Jesse Eiseman

Mr.R. G Gelos

Mr.Heedon Kang

Mr.Machiko Narita

Naixi Wang

This paper introduces a new comprehensive database of macroprudential policies, which combines information from various sources and covers 134 countries from January 1990 to December 2016. Using these data, we first confirm that loan-targeted instruments have a significant impact on household credit, and a milder, dampening effect on consumption. Next, we exploit novel numerical information on loan-to-value (LTV) limits using a propensity-score-based method to address endogeneity concerns. The results point to economically significant and nonlinear effects, with a declining impact for larger tightening measures. Moreover, the initial LTV level appears to matter; when LTV limits are already tight, the effects of additional tightening on credit is dampened while those on consumption are strengthened.

Digging Deeper--Evidence on the Effects of Macroprudential Policies from a New Database

Mr.Adrian Alter

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