Policies for Macrofinancial Stability: How to Deal with Credit Booms
By B. Bakker, Giovanni Dell'Ariccia, Luc Laeven, Jan Vandenbussche, Deniz Igan, Hui Tong. 2012
314 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/41a7037170f952480175f7a80dc313e3dac68a29
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Stijn Claessens
- Eugenio Cerutti
- Luc Laeven
- Jane Olmstead-Rumsey
- E. Detragiache
- Thorsten Beck
- J. Vandenbussche
- Ozge Akinci
In Finance
- Stijn Claessens
- Luc Laeven
- Thorsten Beck
- F. González
- Eugenio Cerutti
- Asli Demirgüç-Kunt
- E. Detragiache
- Jane Olmstead-Rumsey
Citations in the corpus
- The Use and Effectiveness of Macroprudential Policies: New Evidence (2015, background): “Dell’Ariccia et al. (2012) find that macroprudential policies can reduce the incidence of general credit booms and decrease the probability that booms end up badly.”
- Systemic Banking Crises Database: An Update (2012, unknown): “7 Following Dell’Ariccia et al. (2012), we define credit boom years as those during which the deviation of credit-toGDP ratio relative to its trend is greater than 1.”
- Macroprudential Policies and Housing Prices-A New Database and Empirical Evidence for Central, Eastern, and Southeastern Europe (2012, background): “22 Crowe et al. (2011) also find only small effects of interest rates on housing prices in a large cross-country sample using a VAR approach, while Dell’Ariccia et al. (2012) argue that monetary policy can only be expected to have very small effect on credit booms and that macroprudential measures…”
- What do we know about the effects of macroprudential policy (2018, unknown): “Also using cross-country data in panel regressions, and consistent with Lim et al. (2011), Dell’Ariccia et al. (2012) find that macroprudential policy tools can reduce the incidence of credit booms and decrease the likelihood that booms end up badly.”
- How Effective are Macroprudential Policies? An Empirical Investigation (2017, background): “Most empirical work on the subject relies on the 2011 IMF survey data presented in Lim et al. (2011). Using this database, Lim et al. (2011) find that several different macroprudential tools reduce the procyclicality of credit growth by reducing the correlation between credit growth and GDP growth.”