题名

DYNAMIC PANEL DATA ESTIMATORS IN LEVERAGE ADJUSTMENTS MODEL

DOI

10.6292/AFPF.202212_(10).0004

作者

Hui-Ching Chuang;Jui-Chung Yang

关键词

Dynamic Panel ; Half-Panel Jackknife ; Weak Instrument ; Leverage Targeting

期刊名称

Advances in Financial Planning and Forecasting

卷期/出版年月

10期(2022 / 12 / 01)

页次

67 - 111

内容语文

英文

中文摘要

In this paper, we study firms' speed of adjustment (SOA) toward target leverage levels. We consider the traditional Arellano-Bond type generalized method of moment (GMM) estimators, and the half-panel Jackknife fixed effects (HPJ FE) estimator (Chudik, Pesaran, & Yang, 2018). Unlike GMM estimators, HPJ FE is easy to use and does not require the selection of exogenous variables' treatment and the number of moment conditions. Our Monte Carlo estimation shows that when N (the cross-section dimension) is large relative to T (the time series dimension), the HPJ FE estimator outperforms Arellano-Bond type estimators. The bias is reduced to nearly zero, the estimate is efficient, and the inference is valid. Empirically, using the 760 listed U.S. public firms, we show that the average speed of adjustment of firms' optimal leverage targeting process is around 15%.

主题分类 社會科學 > 經濟學
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