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Tools to estimate entry models in concentrated markets, based in Bresnahan and Reiss (1991)

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entrymodels: Estimate Entry Models

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Tools for measuring empirically the effects of entry in concentrated markets, based in Bresnahan and Reiss (1991).

Installation

You can install the released version of entrymodels from CRAN with:

install.packages("entrymodels")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("gnjardim/entrymodels")

Which should return something similar to:

* installing *source* package 'entrymodels' ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package 'entrymodels'
    finding HTML links ... done
    aux_matrix                              html  
    br1                                     html  
    br2                                     html  
    em_2var                                 html  
    em_basic                                html  
    load_example_data                       html  
** building package indices
** testing if installed package can be loaded from temporary location
*** arch - i386
*** arch - x64
** testing if installed package can be loaded from final location
*** arch - i386
*** arch - x64
** testing if installed package keeps a record of temporary installation path
* DONE (entrymodels)

Please note that you should have Rtools installed.

Examples

Basic Model

This is a basic example which shows you how to estimate a basic entry model with our sample data.

library(entrymodels)

tb <- load_example_data()
(em <- em_basic(tb, "Populacao", "n_agencias"))
#> # A tibble: 5 x 4
#>   n_competitors critical_values[,1] alpha[,1] gamma[,1]
#>           <int>               <dbl>     <dbl>     <dbl>
#> 1             1               5238.     0.832      7.12
#> 2             2              18961.     0.832      8.19
#> 3             3              42038.     0.825      8.79
#> 4             4              75638.     0.819      9.20
#> 5             5             162958.     0.809      9.71

Two-Variable Model

This is a basic example which shows you how to estimate a two-variable entry model with our sample data.

library(entrymodels)

tb <- load_example_data()
(em <- em_2var(tb, "Populacao", "RendaPerCapita", "n_agencias"))
#> # A tibble: 5 x 4
#>   n_competitors critical_values[,1] alpha[,1] gamma[,1]
#>           <int>               <dbl>     <dbl>     <dbl>
#> 1             1               5127.      1.06      17.8
#> 2             2              19265.      1.06      19.2
#> 3             3              44458.      1.05      20.0
#> 4             4              79959.      1.05      20.6
#> 5             5             169059.      1.03      20.9

Citation

To cite package entrymodels in publications use:

Guilherme N. Jardim (2020). entrymodels: Estimate Entry Models. R package version 0.2.1. https://CRAN.R-project.org/package=entrymodels

A BibTeX entry for LaTeX users is:

  @Manual{entrymodels,
    title = {entrymodels: Estimate Entry Models},
    author = {Guilherme {N. Jardim}},
    year = {2020},
    note = {R package version 0.2.1},
    url = {https://CRAN.R-project.org/package=entrymodels},
  }

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Tools to estimate entry models in concentrated markets, based in Bresnahan and Reiss (1991)

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