marginal_buncher

Calculate location (value of z_vector) of marginal buncher.

Implementation of the bunching estimator for kinks and notches.
Allows for flexible estimation of counterfactual (e.g. controlling for round number bunching, accounting for other bunching masses within bunching window, fixing bunching point to be minimum, maximum or median value in its bin, etc.).
It produces publication-ready plots in the style followed since Chetty et al. (2011) <doi:10.1093/qje/qjr013>, with lots of functionality to set plot options.

Panos Mavrokonstantis

bunching

Estimate Bunching

marginal_buncher function

<dl><dt>beta</dt>
<dd>normalized excess mass.</dd>
<dt>binwidth</dt>
<dd>a numeric value for the width of each bin.</dd>
<dt>zstar</dt>
<dd>a numeric value for the the bunching point.</dd>
<dt>notch</dt>
<dd>whether analysis is for a kink or notch. Default is FALSE (kink).</dd>
<dt>alpha</dt>
<dd>the proportion of individuals in dominated region (in notch setting).</dd></dl>

Arguments

Marginal Buncher — marginal_buncher

<dl>

<dt>beta</dt>
<dd>normalized excess mass.</dd>


<dt>binwidth</dt>
<dd>a numeric value for the width of each bin.</dd>


<dt>zstar</dt>
<dd>a numeric value for the the bunching point.</dd>


<dt>notch</dt>
<dd>whether analysis is for a kink or notch. Default is FALSE (kink).</dd>


<dt>alpha</dt>
<dd>the proportion of individuals in dominated region (in notch setting).</dd>

</dl>

marginal_buncher: Marginal Buncher

Description

Usage

Value

Arguments

See Also

Examples