不确定经济路径对收入预测的影响

IF 1.8 3区 经济学 Q2 BUSINESS, FINANCE
Leonard Burman, Benjamin R. Page, David Weiner
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引用次数: 0

摘要

本文衡量了宏观经济不确定性对基准联邦收入预测准确性的影响。我们建立了一个简单的国内生产总值、股票价格和就业随时间变化的随机模型。使用基于云的微观模拟模型,我们模拟了5000个宏观经济变量的个人收入和工资税收入。我们发现,随着时间的推移,收入预测存在大量不确定性。我们发现,使用单一基线来预测收入有一个小的向下偏差,但在10年的预算范围内,它从未超过收入的1%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Implications of Uncertain Economic Paths for Revenue Projections
This paper measures the effects of macroeconomic uncertainty on the accuracy of baseline federal revenue forecasts. We build a simple stochastic model of gross domestic product, stock prices, and employment over time. Using a cloud-based microsimulation model, we simulate individual income and payroll tax revenues for 5,000 realizations of the macroeconomic variables. We find a large amount of uncertainty in revenue projections that grows over time. We find a small downward bias from using a single baseline to predict revenues, but it never exceeds 1 percent of revenues over the 10-year budget horizon.
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来源期刊
CiteScore
3.40
自引率
11.80%
发文量
38
期刊介绍: The goal of the National Tax Journal (NTJ) is to encourage and disseminate high quality original research on governmental tax and expenditure policies. Articles published in the regular March, June and September issues of the journal, as well as articles accepted for publication in special issues of the journal, are subject to professional peer review and include economic, theoretical, and empirical analyses of tax and expenditure issues with an emphasis on policy implications. The NTJ has been published quarterly since 1948 under the auspices of the National Tax Association (NTA). Most issues include an NTJ Forum, which consists of invited papers by leading scholars that examine in depth a single current tax or expenditure policy issue. The December issue is devoted to publishing papers presented at the NTA’s annual Spring Symposium; the articles in the December issue generally are not subject to peer review.
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