对“外生不确定性和用外部工具识别结构向量自回归”的修正

IF 2.3 3区经济学 Q2 ECONOMICS

Journal of Applied Econometrics Pub Date : 2023-06-16 DOI:10.1002/jae.2994

引用次数: 0

摘要

我们对这些错误表示歉意。然而，我们注意到，相对于已发表的版本，这些错误并没有改变论文的方法、总体情况和主要结论（方法论和实证）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Correction to “Exogenous uncertainty and the identification of structural vector autoregressions with external instruments”

We apologize for these errors. We remark, however, that these errors does not change approach, overall picture and main conclusions (methodological and empirical) of the paper relative to the published version.

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来源期刊

Journal of Applied Econometrics Multiple-

CiteScore

3.70

自引率

4.80%

发文量

期刊介绍： The Journal of Applied Econometrics is an international journal published bi-monthly, plus 1 additional issue (total 7 issues). It aims to publish articles of high quality dealing with the application of existing as well as new econometric techniques to a wide variety of problems in economics and related subjects, covering topics in measurement, estimation, testing, forecasting, and policy analysis. The emphasis is on the careful and rigorous application of econometric techniques and the appropriate interpretation of the results. The economic content of the articles is stressed. A special feature of the Journal is its emphasis on the replicability of results by other researchers. To achieve this aim, authors are expected to make available a complete set of the data used as well as any specialised computer programs employed through a readily accessible medium, preferably in a machine-readable form. The use of microcomputers in applied research and transferability of data is emphasised. The Journal also features occasional sections of short papers re-evaluating previously published papers. The intention of the Journal of Applied Econometrics is to provide an outlet for innovative, quantitative research in economics which cuts across areas of specialisation, involves transferable techniques, and is easily replicable by other researchers. Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged. The Journal also aims to publish review and survey articles that make recent developments in the field of theoretical and applied econometrics more readily accessible to applied economists in general.