Marx, Benjamin M. (2018): Dynamic Bunching Estimation with Panel Data.
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Abstract
Abstract An increasingly common technique for studying behavioral elasticities uses bunching estimation of the excess mass in a distribution around a price or policy threshold. This paper shows how serial dependence of the choice variable and extensive-margin responses may bias these estimates. It then proposes new bunching designs that take greater advantage of panel data to avoid these biases and estimate new parameters. Standard methods over-reject in simulations using household income data and over-estimate bunching in an application with charities. Designs exploiting panel data provide unbiased bunching estimates, improved heterogeneity analysis, and the ability to estimate extensive-margin responses and long-run effects.
Item Type: | MPRA Paper |
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Original Title: | Dynamic Bunching Estimation with Panel Data |
Language: | English |
Keywords: | bunching, estimation, panel |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models D - Microeconomics > D9 - Intertemporal Choice > D92 - Intertemporal Firm Choice, Investment, Capacity, and Financing H - Public Economics > H2 - Taxation, Subsidies, and Revenue > H21 - Efficiency ; Optimal Taxation |
Item ID: | 88647 |
Depositing User: | Dr. Benjamin M. Marx |
Date Deposited: | 28 Aug 2018 14:57 |
Last Modified: | 26 Sep 2019 15:23 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/88647 |