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 Portugal
Series ID:           DDOI05PTA156NWDB
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  -0.1825680000000000
2000-01-01   0.9473770000000000
2001-01-01   1.1245700000000000
2002-01-01   0.5024760000000000
2003-01-01   0.8350470000000000
2004-01-01   1.4114900000000000
2005-01-01  -0.6457600000000000
2006-01-01  -0.6209279999999999
2007-01-01  -0.6633789999999999
2008-01-01  -0.2391120000000000
2009-01-01  -0.6579310000000000
2010-01-01  -0.7827540000000000
2011-01-01  -1.2377600000000000
2012-01-01  -1.0795900000000000
2013-01-01  -1.0330200000000000
2014-01-01  -1.0281700000000000