Estimation and Inference in Weakly Identified Models

经济和社会系统由相互作用的组成部分组成，导致难以预测和管理的复杂结构。因此，政策分析和决策必须以数据统计分析为依据。在许多情况下，意见的信息内容很少;在教育、卫生、金融和宏观经济分析的各个方面都有这种情况的例子。该项目旨在制定更有效地利用数据中现有信息的估计和推断方法。这将导致更精确的统计分析，从而更清楚地了解经济和社会制度，并更好地进行知情的政策分析和决策。

Economic and social systems are made up of interacting components leading to complex structures that are difficult to predict and manage. Consequently policy analysis and decision-making must be informed by statistical analysis of data. In many situations the informational content of observations is minimal; examples of such situations are found in the areas of education, health, finance and various aspects of macroeconomic analysis. This project aims to develop methods of estimation and inference that make more efficient use of the information available in data. This will lead to more precise statistical analyses, resulting in a clearer understanding of economic and social systems, and better informed policy analysis and decision-making.