bunch_viewer: Visualizing a histogram and potential excluded areas

Description Usage Arguments Value See Also Examples

Description

This function is meant to aid find excluded bins and analysis area for a bunching study. It displays a histogram with borders. Optionally, you can get the actual histogram back. This is convenient, as the kink/notch point is set as the center of a bin.

Usage

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bunch_viewer(earnings, zstar = NA, cf_start = 10, cf_end = 50,
  exclude_before = 2, exclude_after = 20, binw = NA, trimy = TRUE,
  report = FALSE, title = "Count Histogram", varname = "Running Variable")

Arguments

earnings

Vector of earnings, hopefully a very large one

zstar

Place of notch/kink (critical earning point)

cf_start

Number of bins before the kink bin where counter-factual histogram should start.

cf_end

Number of bins after the kink bin where counter-factual histogram should start.

exclude_before

Number of excluded bins before the kink bin.

exclude_after

Number of excluded bins after the kink bin.

binw

Bin width.

trimy

Logical. Should the y-axis be trimmed to better show off-bunching histogram?

report

Should the function return the actual histogram?

title

Title for Plot output

varname

Name for running variable, to be desplayed in the plot

Value

A plot, the actual histogram if report is set to TRUE.

See Also

bunch

Examples

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ability_vec <- 4000 * rbeta(100000, 2, 5)
earning_vec <- sapply(ability_vec, earning_fun, 0.2, 0.1, 0.2, 0, 1000)
bunch_viewer(earning_vec, 1000, 20, 40, 2, 2, 20, trimy = TRUE, report = FALSE)

trilnick/bunchr documentation built on May 31, 2019, 7:54 p.m.