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Deviation signs-based bunching methods
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DOI：10.1016/j.econmod.2024.106969.png)
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摘要
En 中文
Bunching caused by discontinuous policy has received increased research attention over the last decade. In practice, buncher adjustment costs frequently result in bunching in an unknown region rather than at a specific point (e.g., a kink or notch). To investigate this phenomenon, researchers often rely on visual determination or regional knowledge, the selection of estimated regions, the choice of kin k-fold cross- validation, and the assumption of a conditional lognormal distribution. This study introduces deviation sign-based bunching methods for kink and notch settings with frictions, eliminating the need for these prerequisites. Using conservative non-bunching regions and deviation sign-based indicators, we can calculate the data-driven bunching region and counterfactual distribution. Subsequently, the elasticity of taxable income, a key parameter in bunching research, can be estimated. Simulations validate the efficacy of our methods. The elasticity of Chinese small and micro enterprises is calculated to be 1.267.
Keyword:
Deviation signs
Bunching regions
Elasticity
Counterfactual distribution
Small and micro enterprises
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