indicboxdata: Box Plot Statistics for "Indices" Tab
In competitiontoolbox: A Graphical User Interface for Antitrust and Trade Practitioners
indicboxdata R Documentation
Box Plot Statistics for "Indices" Tab
Description
A dataset containing the summary statistics necessary to make boxplots according to supply, demand,
and percent of outside share for horizontal mergers. This allows for examination of the
relationship between industry price changes and commonly used merger indices.
Usage
indicboxdata
Format
A data frame with 2,303 rows and 10 variables
- Cut_type
Firm Count, HHI, Delta HHI, UPP, CMCR, Harm 2nd, Party Gap
- Cut_value
axis units depending on Cut_type
- shareOutThresh
outside share threshold in percent (20–70)
- Supply
pooled, bertrand, cournot, auction
- Demand
pooled, log, logit, aids, ces, linear
- high_wisk
maximum
- low_wisk
minimum
- pct25
25th percentile boxplot line
- pct50
50th percentile boxplot line
- pct75
75th percentile boxplot line
References
Taragin, C., & Loudermilk, M. (2019). Using measures of competitive harm for optimal screening of horizontal mergers. mimeo.doi: 10.13140/RG.2.2.30872.85760/1.
competitiontoolbox documentation built on Aug. 25, 2022, 9:08 a.m.
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| indicboxdata | R Documentation |
Box Plot Statistics for "Indices" Tab
Description
A dataset containing the summary statistics necessary to make boxplots according to supply, demand, and percent of outside share for horizontal mergers. This allows for examination of the relationship between industry price changes and commonly used merger indices.
Usage
indicboxdata
Format
A data frame with 2,303 rows and 10 variables
- Cut_type
Firm Count, HHI, Delta HHI, UPP, CMCR, Harm 2nd, Party Gap
- Cut_value
axis units depending on Cut_type
- shareOutThresh
outside share threshold in percent (20–70)
- Supply
pooled, bertrand, cournot, auction
- Demand
pooled, log, logit, aids, ces, linear
- high_wisk
maximum
- low_wisk
minimum
- pct25
25th percentile boxplot line
- pct50
50th percentile boxplot line
- pct75
75th percentile boxplot line
References
Taragin, C., & Loudermilk, M. (2019). Using measures of competitive harm for optimal screening of horizontal mergers. mimeo.doi: 10.13140/RG.2.2.30872.85760/1.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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