Growth Empirics: A Panel Data Approach
提出并应用面板数据方法研究增长收敛，将传统收敛方程转化为动态面板模型，允许不同经济体生产函数存在差异，结果显著不同于单一横截面回归，并识别国家效应，连接新古典增长实证与发展经济学。
A panel data approach is advocated and implemented for studying growth convergence. The familiar equation for testing convergence is reformulated as a dynamic panel data model, and different panel data estimators are used to estimate it. The main usefulness of the panel approach lies in its ability to allow for differences in the aggregate production function across economies. This leads to results that are significantly different from those obtained from single cross-country regressions. In the process of identifying the individual “country effect,” we can also see the point where neoclassical growth empirics meets development economics.