Title:               H-Statistic in Banking Market for Germany
Series ID:           DDOI03DEA066NWDB
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  0.8690000000000001
2011-01-01  0.8620000000000000
2012-01-01  0.8580000000000000
2013-01-01  0.8460000000000000
2014-01-01  0.8460000000000000