期刊
SPATIAL ECONOMIC ANALYSIS
卷 13, 期 2, 页码 191-211出版社
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/17421772.2018.1397285
关键词
economic growth; growth empirics; spatial econometrics; convergence; Lotka-Volterra; C31; O47
类别
This paper uses a general Lotka-Volterra model to estimate convergence for 93 countries over the period 1960-2007. It employs an equation with a spatial time lag and common factors. The spatial lag controls for spatial dependence, while the common factors control for strong cross-sectional dependence. As spatial weights matrices, the shares of high-skilled migrants, trade shares and foreign direct investments are used. A simultaneous least squares estimator and a dynamic common correlated effects (DCCE) estimator are employed. The DCCE estimator finds conditional convergence. The paper highlights the importance of controlling for both types of cross-sectional dependence.
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