Better Bunching, Nicer Notching

• Tác giả: Marinho Bertanha, Andrew H McCallum, Nathan Seegert
• Ngôn ngữ: eng
• Ký hiệu phân loại: 746.5 *Bead embroidery
• Thông tin xuất bản: 2021
• Bộ sưu tập: Metadata
• ID: 165943

Tóm tắt

Comment: PDF file contains main text and supplemental appendixThis paper studies the bunching identification strategy for an elasticity parameter that summarizes agents' responses to changes in slope (kink) or intercept (notch) of a schedule of incentives. We show that current bunching methods may be very sensitive to implicit assumptions in the literature about unobserved individual heterogeneity. We overcome this sensitivity concern with new non- and semi-parametric estimators. Our estimators allow researchers to show how bunching elasticities depend on different identifying assumptions and when elasticities are robust to them. We follow the literature and derive our methods in the context of the iso-elastic utility model and an income tax schedule that creates a piece-wise linear budget constraint. We demonstrate bunching behavior provides robust estimates for self-employed and not-married taxpayers in the context of the U.S. Earned Income Tax Credit. In contrast, estimates for self-employed and married taxpayers depend on specific identifying assumptions, which highlight the value of our approach. We provide the Stata package "bunching" to implement our procedures.