对美国叙事税收变化的异质反应:来自美国各州的证据

Masudul Alam
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摘要

本文调查了美国各州联邦税收变化的同质效应的假设,并确定了该假设可能无效的地方和原因。更具体地说,是什么决定了税收冲击在国家层面的传导机制?各州的财政结构、金融状况、劳动力市场刚性和行业组合有多重要?这些经济和结构特征是否在不同层面上驱动了州一级税收变化的传导机制?本研究采用面板因子增强向量自回归(FAVAR)技术来回答这些问题。研究结果表明,国有经济在就业和价格水平方面的反应是均匀的;然而,它们在实际GDP和个人收入增长方面的反应却各不相同。在大多数州,这些反应在统计上是显著的,减税效果的异质性与州的财政结构、制造业和金融构成以及劳动力市场的刚性显著相关。跨州回归分析显示,税收弹性较高、个人所得税较高、劳动力市场监管严格、经济政策不确定的州对联邦税收变化的反应相对较弱。相比之下,在金融、制造业比重较大、税负较低、信贷市场灵活的州,实际GDP、个人收入和就业对减税的反应程度相对较高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heterogeneous Responses to the U.S. Narrative Tax Changes: Evidence from the U.S. States
This paper investigates the assumption of homogeneous effects of federal tax changes across the U.S. states and identifies where and why that assumption may not be valid. More specifically, what determines the transmission mechanism of tax shocks at the state level? How vital are states' fiscal structures, financial conditions, labor market rigidities, and industry mix? Do these economic and structural characteristics drive the transmission mechanism of the tax changes at the state level at different horizons? This study employs a panel factor-augmented vector autoregression (FAVAR) technique to answer these issues. The findings show that state economies respond homogeneously in terms of employment and price levels; however, they react heterogeneously in real GDP and personal income growth. In most states, these reactions are statistically significant, and the heterogeneity in the effects of tax cuts is significantly related to the state's fiscal structure, manufacturing and financial composition, and the labor market's rigidity. A cross-state regression analysis shows that states with higher tax elasticity, higher personal income tax, strict labor market regulation, and economic policy uncertainties are relatively less responsive to federal tax changes. In contrast, the magnitude of the response in real GDP, personal income, and employment to tax cuts is relatively higher in states with a larger share of finance, manufacturing, lower tax burdens, and flexible credit markets.
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