勘误:区域经济周期的总体影响

IF 7.1 1区 经济学 Q1 ECONOMICS
Econometrica Pub Date : 2025-09-16 DOI:10.3982/ECTA23148
Martin Beraja, Erik Hurst, Juan Ospina
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引用次数: 0

摘要

我们感谢纽约大学的一名博士生Man Chon iao,他让我们注意到,我们的代码中有一个错误,导致了我们论文发表版本的结果。在这个勘误表中,我们:(1)讨论了错误,(2)突出了我们针对错误对代码所做的更改,(3)在纠正错误后重现了论文的所有相关表格和图表。特别是,本勘误的第2节讨论了错误,第3节更新了论文的核心表格和图表,第4节更新了所有剩余的激励和稳健性表格和图表。任何我们没有复制的表格或图表都意味着该表格/图表与原始表格/图表相比没有变化。总而言之,虽然质量结果不变,但所报告的估计数的数量有所变化。本文实证部分的核心是大衰退期间州一级工资指标的创建。当我们最初做出调整后的州一级工资指标时,我们使用美国社区调查(American Community Survey)的重复横截面数据,对每个州每年每个详细人口群体中工作人员的工资进行了汇总。然后,我们将每个州-人口统计组-年单元格中支付的总工资除以每个州-人口统计组-年单元格中的总人数。这一步产生了每个州每年每个人口群体的平均工资。然后,我们每年汇总州一级的人口群体——将群体权重固定在某个初始时期的水平上——以衡量每年经过人口统计调整的州工资。我们的错误源于这样一个事实,即我们应该除以每个组中“工作”个人的总数,而不是每个组中个人的总数(无条件的工作状态)。本文的主要实证结果是对州一级新凯恩斯工资菲利普斯曲线的估计(表V,第5节)。主要的定量结果是在估计DSGE模型时纳入区域数据对总商业周期的影响(图4和5,第7节)。我们在下面更新这些结果。下面,我们给出了图1、图3、图3、图4、图5、附录A5-A6以及主论文的表1、表2、表4、表5、表6、表7、表8的更新结果。所有其他表格和数字不受我们更改的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Erratum: The Aggregate Implications of Regional Business Cycles

Erratum: The Aggregate Implications of Regional Business Cycles

We thank Man Chon Iao—a Ph.D. student at NYU—for bringing to our attention that we had a mistake in our code that generated the results in the published version of our paper. In this erratum, we: (1) discuss the mistake, (2) highlight the changes we made to our code in response to the mistake, and (3) reproduce all the relevant tables and figures of the paper after correcting the mistake. In particular, Section 2 of this erratum discusses the mistake, Section 3 updates the paper's core tables and figures, and Section 4 updates all remaining motivating and robustness tables and figures. Any table or figure we did not reproduce means the table/figure was unchanged compared to the original.

In summary, the magnitudes of the reported estimates change, although the qualitative results remain.

At the heart of the empirical component of our paper is the creation of state level wage measures during the period surrounding the Great Recession. When we initially made our composition adjusted state level wage measures, we summed over the wages for those working in each of our detailed demographic groups within each state for each year using repeated cross-sectional data from the American Community Survey. We then divided the total wages paid in each state-demographic group-year cell by the total number of individuals within each state-demographic group-year cell. This step produced a measure of the average wage for each demographic group in each state in each year. We then aggregated the state level demographic groups in each year—holding the group weights fixed at some initial time period level—to make our measure of demographically adjusted state wages in each year. Our mistake stems from the fact that we should have divided by the total number of “working” individuals within each group instead of the total number of individuals (unconditional on work status) within each group.

The main empirical result in the paper is the estimation of a state level New Keynesian Wage Phillips Curve (Table V, Section 5). The main quantitative results are the implications for aggregate business cycles of incorporating regional data when estimating a DSGE model (Figures 4 and 5, Section 7). We update these results below.

Below, we present the updated results for Figure 1, Figures 3, 3, 4, 5, Appendix A5–A6, and Tables I, II, and IV, V, VI, VII, VIII of the main paper. All other tables and figures are unaffected by our changes.

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来源期刊
Econometrica
Econometrica 社会科学-数学跨学科应用
CiteScore
11.00
自引率
3.30%
发文量
75
审稿时长
6-12 weeks
期刊介绍: Econometrica publishes original articles in all branches of economics - theoretical and empirical, abstract and applied, providing wide-ranging coverage across the subject area. It promotes studies that aim at the unification of the theoretical-quantitative and the empirical-quantitative approach to economic problems and that are penetrated by constructive and rigorous thinking. It explores a unique range of topics each year - from the frontier of theoretical developments in many new and important areas, to research on current and applied economic problems, to methodologically innovative, theoretical and applied studies in econometrics. Econometrica maintains a long tradition that submitted articles are refereed carefully and that detailed and thoughtful referee reports are provided to the author as an aid to scientific research, thus ensuring the high calibre of papers found in Econometrica. An international board of editors, together with the referees it has selected, has succeeded in substantially reducing editorial turnaround time, thereby encouraging submissions of the highest quality. We strongly encourage recent Ph. D. graduates to submit their work to Econometrica. Our policy is to take into account the fact that recent graduates are less experienced in the process of writing and submitting papers.
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