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Title:               H-Statistic in Banking Market for Kenya
Series ID:           DDOI03KEA066NWDB
Source:              World Bank
Release:             Global Financial Development (Not a Press Release)
Seasonal Adjustment: Not Seasonally Adjusted
Frequency:           Annual
Units:               Index
Date Range:          2010-01-01 to 2014-01-01
Last Updated:        2018-09-21 1:51 PM CDT
Notes:               A measure of the degree of competition in the banking market. It
                     measures the elasticity of banks revenues relative to input prices.
                     Under perfect competition, an increase in input prices raises both
                     marginal costs and total revenues by the same amount, and hence the
                     H-statistic equals 1. Under a monopoly, an increase in input prices
                     results in a rise in marginal costs, a fall in output, and a decline
                     in revenues, leading to an H-statistic less than or equal to 0. When H
                     is between 0 and 1, the system operates under monopolistic
                     competition.
                     
                     A measure of the degree of competition in the banking market. It
                     measures the elasticity of banks revenues relative to input prices.
                     Under perfect competition, an increase in input prices raises both
                     marginal costs and total revenues by the same amount, and hence the
                     H-statistic equals 1. Under a monopoly, an increase in input prices
                     results in a rise in marginal costs, a fall in output, and a decline
                     in revenues, leading to an H-statistic less than or equal to 0. When H
                     is between 0 and 1, the system operates under monopolistic
                     competition. (For more information, see Panzar and Rosse 1982, 1987).
                     (Calculated from underlying bank-by-bank data from Bankscope)
                     
                     Source Code: GFDD.OI.03

DATE                      VALUE
2010-01-01  0.54400000000000000
2011-01-01  0.53600000000000000
2012-01-01  0.48200000000000004
2013-01-01  0.47600000000000003
2014-01-01  0.47100000000000003