Modeling and Analyzing the Conditions under which Firms Strategically Allocate Resources

建模和分析企业战略资源配置的条件

• 批准号: 2017315
• 负责人: In Song Kim
• 金额: $ 43.27万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2017315&HistoricalAwards=false
• 关键词: Modeling; Analyzing; Conditions; under; Firms

This study advances scientific knowledge on how interest groups make investments to affect targeted outcomes. The project develops a theoretical framework that explains how groups strategically allocate their resources. The project produces a database relevant to that links more than 75 million public reports and contribution filings of elected office holders and firms. This project also provides interactive online learning tools so that students and teachers with different educational backgrounds can learn more about representation across various policy issues such as international trade, healthcare, education, and national security. The project develops a theoretical model that provides a micro-foundation for analyzing the conditions under which firms strategically allocate important resources. The model features the standard multi-sector component with heterogeneous firms, selection into production and firm entry, and endogenous activities pertinent to government. This study will also develop open-source software to facilitate access and analysis of the project’s PostgreSeQL relational database, which allows researchers to readily explore/export large scale data for computational social science research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项研究促进了关于利益集团如何进行投资以影响目标结果的科学知识。该项目开发了一个理论框架，解释了集团如何战略性地分配资源。该项目建立了一个与之相关的数据库，将7500多万份当选公职人员和公司的公开报告和捐款档案联系起来。该项目还提供了互动式在线学习工具，使不同教育背景的学生和教师能够更多地了解国际贸易、医疗保健、教育和国家安全等各种政策问题的代表性。该项目开发了一个理论模型，为分析企业战略性配置重要资源的条件提供了微观基础。该模型的特点是标准的多部门组成，包括异质企业、选择进入生产和企业进入以及与政府相关的内生活动。这项研究还将开发开源软件，以便于访问和分析该项目的PostgreSeQL关系数据库，使研究人员能够轻松地探索/导出用于计算社会科学研究的大规模数据。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Learning Bill Similarity with Annotated and Augmented Corpora of Bills

• DOI: 10.18653/v1/2021.emnlp-main.787
• 发表时间: 2021-09
• 作者: Jiseon Kim;Elden Griggs;In Song Kim;Alice H. Oh