NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: Boone Indicator in Banking Market for Paraguay Series ID: DDOI05PYA156NWDB 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 -0.123146000000000000 2000-01-01 0.269237000000000000 2001-01-01 0.515062000000000000 2002-01-01 0.286720000000000000 2003-01-01 1.771959999999999800 2004-01-01 0.169987000000000000 2005-01-01 0.130221000000000000 2006-01-01 -0.097182000000000000 2007-01-01 -0.074318000000000000 2008-01-01 -0.127098000000000000 2009-01-01 -0.059883000000000006 2010-01-01 -0.056753000000000000 2011-01-01 -0.040679000000000000 2012-01-01 -0.050448000000000000 2013-01-01 -0.033428000000000000 2014-01-01 -0.026907000000000000