论文标题
一种用于估计潜在组结构的生产功能的分类器-LASSO方法
A Classifier-Lasso Approach for Estimating Production Functions with Latent Group Structures
论文作者
论文摘要
我为具有潜在组结构的生产功能提供了一个新的估计程序。我认为生产功能在整个群体之间是异质的，但在群体内部及时均匀，以及公司的群体成员尚不清楚。我的估算过程是完全数据驱动的，并将生产功能文献的最新识别策略嵌入到分类器范围内。仿真实验表明，将企业分配给其正确的潜在组，概率接近一个。我将我的估计程序应用于智利公司小组，并发现与行业的标准分类方法相比，估计值有很大的差异。
I present a new estimation procedure for production functions with latent group structures. I consider production functions that are heterogeneous across groups but time-homogeneous within groups, and where the group membership of the firms is unknown. My estimation procedure is fully data-driven and embeds recent identification strategies from the production function literature into the classifier-Lasso. Simulation experiments demonstrate that firms are assigned to their correct latent group with probability close to one. I apply my estimation procedure to a panel of Chilean firms and find sizable differences in the estimates compared to the standard approach of classification by industry.
