作 者: ;
机构地区: 广东金融学院经济贸易系
出 处: 《石家庄经济学院学报》 2012年第1期25-32,共8页
摘 要: 首先对全要素生产率(TFP)测算的前沿估计方法进行了逻辑梳理,力图廓清当前实际应用中存在的一些误区。然后利用1999年-2009年中国工业企业数据,应用最小二乘法、固定效应方法、OP法和LP法等参数和半参数方法核算了我国主要工业企业的TFP,在横向对比之后,发现半参数方法能够较好地解决传统计量方法中的内生性和样本选择问题。 Aimed at resolving the Simultaneity bias and Selectivity and Attrition Bias in the traditional method for firm-level TFP estimation, a array of proposals are raised and boiled down to several estimate technologies. The paper provides economic researchers with an up-to-date overview of issues and relevant solutions associated with this choice. Using a firm-level dataset for 199-2009 including most of China's enterprises, this paper estimate their TFP by applying various parametric and semi-parametric methods, such as OLS, FE, OP and LP. We found that semiparametric technology can solve the inherent econometric problem in traditional method.
领 域: [经济管理]