Title: Boone Indicator in Banking Market for Jordan Series ID: DDOI05JOA156NWDB 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 -0.072654000000000000 2000-01-01 -0.096350000000000000 2001-01-01 -0.082633000000000000 2002-01-01 -0.065377000000000000 2003-01-01 -0.059017999999999994 2004-01-01 -0.062707000000000000 2005-01-01 -0.078666000000000000 2006-01-01 -0.083771000000000000 2007-01-01 -0.082359000000000000 2008-01-01 -0.084467000000000000 2009-01-01 -0.067086000000000000 2010-01-01 -0.060391999999999994 2011-01-01 -0.059705999999999995 2012-01-01 -0.060640000000000000 2013-01-01 -0.071974000000000000 2014-01-01 -0.073716000000000000