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The Feldstein-Horioka hypothesis for African countries: Evidence from recent panel error-correction modelling

机译:非洲国家的费尔德斯坦 - Horioka假设:来自近期面板纠错建模的证据

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This paper, by applying the recent panel data error-correction modelling developed by Gengenbach et al., Panel error correction testing with global stochastic trends, 2008 University of Maastricht, Working Paper, RM/08/051:1-51 and Gengenbach et al.,Journal of Applied Econometrics, 2016, 31, 982-1004 tests the validity of the Feldstein-Horioka puzzle (1980) in a panel of 27 African countries for the period 1965-2015. Unlike the existing studies in the literature, this paper, for the first time, addresses several important panel data econometric issues such as slope heterogeneity, cross-section dependence, unobservable common factors, non-stationarity and endogeneity that would yield inconsistent and biased estimates of the parameters of interest. Unlike the previous residual-based error-correction modelling that has low power, the Gengenbach et al., Panel error correction testing with global stochastic trends, 2008, University of Maastricht, Working Paper, RM/08/051:1-51 and Gengenbach et al.,Journal of Applied Econometrics, 2016, 31, 982-1004 estimator explicitly considers structural dynamics in modelling a cointegrated panel that allows for the presence of non-stationary unobserved common factors. As the GUW modelling depends on the Pesaran Common Correlated Effects Mean Group Estimator (CCEMG; 2006) and the Chudik and Pesaran Dynamic Common Correlated Effects Mean Group Estimator (DCCEMG; 2015), we report the results based on these estimators. The econometric exercises performed in the paper show that slope heterogeneity; cross-section dependence and non-stationarity are present in the panel data sample used in the estimation. Estimations yield a relatively low magnitude of the savings retention coefficient for the panel members included in the study with a negative error-correction term that is statistically significant at the individual and panel levels. The empirical evidence rejects the presence of the Feldstein-Horioka puzzle in the panel of 27 African countries studied.
机译:本文通过应用Gengenbach等人开发的最近的面板数据纠错建模,具有全球随机趋势的面板纠错测试,2008年Maastricht大学,工作纸,RM / 08/051:1-51和Gengenbach等。,应用经济学,2016,31,31,982-1004在1965 - 2015年期间,在27个非洲国家的一小组中测试了Feldstein-Horioka Puzzle(1980)的有效性。与文献中的现有研究不同,本文首次解决了几个重要的面板数据计量经济问题,如坡度异质性,横截面依赖性,不可观察的共同因素,非公平性和内穷性,这会产生不一致和偏见的估计感兴趣的参数。与具有低功率的基于残差的纠错建模不同,Gengenbach等人,与全球随机趋势的面板纠错测试,2008年,马斯特里赫特大学,工作纸,RM / 08/051:1-51和Gengenbach et al。,2016,31,982-1004估计人员,2016,31,31,982-1004估计人员明确地考虑了结构动态,在建模共同化的面板中,允许存在非静止的普通因子。由于GUW建模取决于季节常见相关效果均值组估计(CCEMG; 2006)和Chudik和Pesaran动态常用相关效果均值组估计(DCCEMG; 2015),我们根据这些估算者报告结果。本文中进行的计量计量练习表明坡度异质性;在估计中使用的面板数据样本中存在横截面依赖性和非实用性。估计产生的节省储蓄滞留系数的相对较低的程度,用于研究中包含的否定误差术语,在个人和面板水平上具有统计学意义。经验证据驳回了在学习的27个非洲国家的小组中存在Feldstein-Horioka拼图。

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