Home > Releases > Global Financial Development > Lerner Index in Banking Market for Senegal
Lerner Index in Banking Market for Senegal (DDOI04SNA066NWDB)
Observation:
2015: 0.48 (+ more)Updated: Aug 30, 2017
2015: | 0.48 | |
2014: | 0.44 | |
2013: | 0.29 | |
2012: | 0.26 | |
2011: | 0.26 |
Units:
Index,Not Seasonally Adjusted
Frequency:
AnnualA measure of market power in the banking market. It is defined as the difference between output prices and marginal costs (relative to prices). Prices are calculated as total bank revenue over assets, whereas marginal costs are obtained from an estimated translog cost function with respect to output. Higher values of the Lerner index indicate less bank competition. Lerner Index estimations follow the methodology described in Demirgüç-Kunt and Martínez Pería (2010). (Calculated from underlying bank-by-bank data from Bankscope)
Source Code: GFDD.OI.04
Lerner Index in Banking Market for Senegal
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A measure of market power in the banking market. It is defined as the difference between output prices and marginal costs (relative to prices). Prices are calculated as total bank revenue over assets, whereas marginal costs are obtained from an estimated translog cost function with respect to output. Higher values of the Lerner index indicate less bank competition. Lerner Index estimations follow the methodology described in Demirgüç-Kunt and Martínez Pería (2010). (Calculated from underlying bank-by-bank data from Bankscope)
Source Code: GFDD.OI.04
Lerner Index in Banking Market for Senegal
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, a-b, (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 | |
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Lerner Index in Banking Market for Senegal | 2012-09-24 | 2017-06-12 |
Source | ||
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World Bank | 2012-09-24 | 2017-06-12 |
Release | ||
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Global Financial Development | 2012-09-24 | 2017-06-12 |
Units | ||
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Index | 2012-09-24 | 2017-06-12 |
Frequency | ||
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Annual | 2012-09-24 | 2017-06-12 |
Seasonal Adjustment | ||
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Not Seasonally Adjusted | 2012-09-24 | 2017-06-12 |
Notes | ||
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A measure of market power in the banking market. It compares output pricing and marginal costs (that is, markup). An increase in the Lerner index indicates a deterioration of the competitive conduct of financial intermediaries. A measure of market power in the banking market. It is defined as the difference between output prices and marginal costs (relative to prices). Prices are calculated as total bank revenue over assets, whereas marginal costs are obtained from an estimated translog cost function with respect to output. Higher values of the Lerner index indicate less bank competition. Lerner Index estimations follow the methodology described in Demirgüç-Kunt and Martínez Pería (2010). (Calculated from underlying bank-by-bank data from Bankscope) Source Code: GFDD.OI.04 |
2012-09-24 | 2017-06-12 |
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