英文文献：New Developments in Panel Data Estimation: Full-Factorial Panel Data Model-面板数据估计的新发展:全因子面板数据模型
英文文献作者：Howie, Patrick J.,Kleczyk, Ewa J.
英文文献摘要：
Panel data has been widely used in many social science studies. Pooling data across cross-sections and time-series improves quality of data analysis; however, the model is limited in its ability to actually accurately predict variables of interest due to severe practical data limitations and the ability of properly capturing varying market structures. In this article, a simple and innovative model of product share is introduced. The Full-Factorial Panel Data Model is based on the simple premises of re-conceptualization of any zero-sum group as a series of two-entity markets. This model solves the challenges associated with pooling data across disparate cross-sections and time-periods as well as the changing competitive market structure issues and therefore results in reliable variable of interest estimates.

面板数据在许多社会科学研究中得到了广泛的应用。跨横断面和时间序列汇集数据提高了数据分析的质量;然而，由于严重的实际数据限制和适当捕捉变化的市场结构的能力，该模型在实际准确预测感兴趣的变量方面受到了限制。本文介绍了一种简单而创新的产品份额模型。全阶乘面板数据模型基于将零和组重新概念化为一系列两实体市场的简单前提。该模型解决了跨不同截面和时间段汇集数据的挑战，以及竞争市场结构不断变化的问题，因此产生了可靠的利益变量估计。