Search Results

SORT BY: PREVIOUS / NEXT
Author:Bertanha, Marinho 

Working Paper
Better Bunching, Nicer Notching

We study the bunching identification strategy for an elasticity parameter that summarizes agents' response to changes in slope (kink) or intercept (notch) of a schedule of incentives. A notch identifies the elasticity but a kink does not, when the distribution of agents is fully flexible. We propose new non-parametric and semi-parametric identification assumptions on the distribution of agents that are weaker than assumptions currently made in the literature. We revisit the original empirical application of the bunching estimator and find that our weaker identification assumptions result in ...
Finance and Economics Discussion Series , Paper 2021-002

Working Paper
Bunching Estimation of Elasticities Using Stata

A continuous distribution of agents that face a piecewise-linear schedule of incentives results in a distribution of responses with mass points located where the slope (kink) or intercept (notch) of the schedule changes. Bunching methods use these mass points to estimate an elasticity parameter, which summarizes agents' responses to incentives. This article introduces the command bunching, which implements new non-parametric and semi-parametric identification methods for estimating elasticities developed by Bertanha et al. (2021). These methods rely on weaker assumptions than currently made ...
Finance and Economics Discussion Series , Paper 2021-006

FILTER BY Content Type

FILTER BY Author

FILTER BY Jel Classification

C14 2 items

H24 2 items

J20 2 items

FILTER BY Keywords

Bunching 2 items

Censored regression 2 items

Partial identification 2 items

Bunchbounds 1 items

Bunchfilter 1 items

Bunchtobit 1 items

show more (4)

PREVIOUS / NEXT