Estimating the Speed of Adjustment of Leverage in the Presence of Interactive Effects*

IF 1.8 3区 经济学 Q2 BUSINESS, FINANCE
J. Westerlund, Hande Karabıyık, P. Narayan, S. Narayan
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引用次数: 3

Abstract

Dynamic panel data regression models with fixed effects to account for unobserved heterogeneity are standard econometric tools. It is not until recently, however, that the problems involved when fitting such regressions to leverage data have been investigated. The main problem is that models of leverage are extremely noisy, much more so than what can be accommodated using fixed effects. The present article can be seen as a reaction to this. The purpose is to consider a more general interactive effects model in which there are multiple time effects, each with their own firm-specific sensitivities. Our empirical results suggest that proper accounting for the interactive effects and the bias that they cause leads to a marked increase in the estimated speed of adjustment to target leverage.
在存在交互效应的情况下估计杠杆调整的速度*
具有固定效应的动态面板数据回归模型是标准的计量经济学工具,用于解释未观察到的异质性。然而,直到最近才对拟合这种回归以利用数据所涉及的问题进行了调查。主要问题在于,杠杆模型非常嘈杂,比使用固定效应所能调节的噪音大得多。本文可以看作是对此的一种反应。目的是考虑一个更一般的交互效应模型,其中有多个时间效应,每个时间效应都有自己的企业特定敏感性。我们的实证结果表明,适当地考虑交互效应及其引起的偏差会导致目标杠杆调整的估计速度显着增加。
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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来源期刊
CiteScore
5.60
自引率
8.00%
发文量
39
期刊介绍: "The Journal of Financial Econometrics is well situated to become the premier journal in its field. It has started with an excellent first year and I expect many more."
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