Title: Boone Indicator in Banking Market for Slovakia Series ID: DDOI05SKA156NWDB Source: World Bank Release: Global Financial Development (Not a Press Release) Seasonal Adjustment: Not Seasonally Adjusted Frequency: Annual Units: Index Date Range: 1999-01-01 to 2014-01-01 Last Updated: 2018-09-21 1:51 PM CDT Notes: A measure of degree of competition based on profit-efficiency in the banking market. It is calculated as the elasticity of profits to marginal costs. An increase in the Boone indicator implies a deterioration of the competitive conduct of financial intermediaries. A measure of degree of competition, calculated as the elasticity of profits to marginal costs. To obtain the elasticity, the log of profits (measured by return on assets) is regressed on the log of marginal costs. The estimated coefficient (computed from the first derivative of a trans-log cost function) is the elasticity. The rationale behind the indicator is that higher profits are achieved by more-efficient banks. Hence, the more negative the Boone indicator, the higher the degree of competition is because the effect of reallocation is stronger. Estimations of the Boone indicator in this database follow the methodology used by Schaeck and Cihák 2010 with a modification to use marginal costs instead of average costs. Regional estimates of the Boone indicator pool the bank data by regions (for more information, see Hay and Liu 1997; Boone 2001; Boone, Griffith, and Harrison 2005). (Calculated from underlying bank-by-bank data from Bankscope) Source Code: GFDD.OI.05 DATE VALUE 1999-01-01 -0.0717100000000000000 2000-01-01 -0.0123360000000000000 2001-01-01 -0.0205480000000000000 2002-01-01 -0.0324010000000000000 2003-01-01 -0.0268160000000000030 2004-01-01 -0.0120550000000000000 2005-01-01 0.0030870000000000000 2006-01-01 -0.0095090000000000000 2007-01-01 -0.0194300000000000030 2008-01-01 0.0006570000000000000 2009-01-01 0.0262690000000000000 2010-01-01 -0.0086890000000000000 2011-01-01 0.0838980000000000000 2012-01-01 0.0109610000000000000 2013-01-01 -0.0137390000000000000 2014-01-01 -0.0061070000000000004