Home > Releases > Global Financial Development > HStatistic in Banking Market for Dominican Republic
HStatistic in Banking Market for Dominican Republic (DDOI03DOA066NWDB)
Observation:
2015: 0.48 (+ more)Updated: Aug 30, 2017
2015:  0.48  
2014:  0.50  
2013:  0.51  
2012:  0.52  
2011:  0.61 
Units:
Index,Not Seasonally Adjusted
Frequency:
AnnualA 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 Hstatistic 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 Hstatistic 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 bankbybank data from Bankscope)
Source Code: GFDD.OI.03
HStatistic in Banking Market for Dominican Republic
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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 Hstatistic 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 Hstatistic 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 bankbybank data from Bankscope)
Source Code: GFDD.OI.03
HStatistic in Banking Market for Dominican Republic
Customize data:
Write a custom formula to transform one or more series or combine two or more series.
You can begin by adding a series to combine with your existing series.
Now create a custom formula to combine or transform the series.
Need help? []
For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a  b.
Use the assigned data series variables (a, b, c, etc.) together with operators (+, , *, /, ^, etc.), parentheses {(,)}, and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, ab, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.
Finally, you can change the units of your new series.
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Title  Release Dates  


HStatistic in Banking Market for Dominican Republic  20120924  20170612 
Source  


World Bank  20120924  20170612 
Release  


Global Financial Development  20120924  20170612 
Units  


Index  20120924  20170612 
Frequency  


Annual  20120924  20170612 
Seasonal Adjustment  


Not Seasonally Adjusted  20120924  20170612 
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 Hstatistic 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 Hstatistic 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 Hstatistic 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 Hstatistic 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 bankbybank data from Bankscope) Source Code: GFDD.OI.03 
20120924  20170612 
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