bunching (version 0.8.6)

prep_data_for_fit: Data Preparation

Description

Prepare binned data and model for bunching estimation.

Usage

prep_data_for_fit(
  data_binned,
  zstar,
  binwidth,
  bins_l,
  bins_r,
  poly = 9,
  bins_excl_l = 0,
  bins_excl_r = 0,
  rn = NA,
  extra_fe = NA,
  correct_above_zu = FALSE
)

Value

data_binned returns a list with the following:

data_binned

The binned data with the extra columns necessary for model fitting, such as indicators for bunching region, fixed effects, etc.

model_formula

The formula used for model fitting.

Arguments

data_binned

dataframe of counts per bin

zstar

a numeric value for the the bunching point.

binwidth

a numeric value for the width of each bin.

bins_l

number of bins to left of zstar to use in analysis.

bins_r

number of bins to right of zstar to use in analysis.

poly

a numeric value for the order of polynomial for counterfactual fit. Default is 9.

bins_excl_l

number of bins to left of zstar to include in bunching region. Default is 0.

bins_excl_r

number of bins to right of zstar to include in bunching region. Default is 0.

rn

a numeric vector of (up to 2) round numbers to control for. Default includes no controls.

extra_fe

a numeric vector of bin values to control for using fixed effects. Default includes no controls.

correct_above_zu

if integration constraint correction is implemented, should counterfactual be shifted only above zu (upper bound of exclusion region)? Default is FALSE (i.e. shift from above zstar).

See Also

bunchit

Examples

data(bunching_data)
binned_data <- bin_data(z_vector = bunching_data$kink, zstar = 10000,
                        binwidth = 50, bins_l = 20, bins_r = 20)
prepped_data <- prep_data_for_fit(binned_data, zstar = 10000, binwidth = 50,
                                  bins_l = 20, bins_r = 20, poly = 4,
                                  bins_excl_l = 2, bins_excl_r = 3,
                                  rn = c(250,500), extra_fe = 10200)
head(prepped_data$data_binned)
prepped_data$model_formula