Modeling and Analyzing the Conditions under which Firms Strategically Allocate Resources
Modeling and Analyzing the Conditions under which Firms Strategically Allocate Resources
批准号:
2017315
负责人:
In Song Kim
金额:
$43.27万
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
项目状态:
已结题
起止时间:
2020-08-01 至 2024-07-31
中文摘要
这项研究推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,解释了群体如何战略性地分配资源。该项目建立了一个数据库,将7 500多万份公共报告和民选官员和公司的投稿文件联系起来。该项目还提供了互动式在线学习工具,以便具有不同教育背景的学生和教师可以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部分与异质性企业,选择进入生产和企业进入,和内生活动有关的政府。该研究还将开发开源软件,以方便访问和分析该项目的PostgreSQL关系数据库,使研究人员能够随时探索/导出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,并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。
英文摘要
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.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI:
10.18653/v1/2021.emnlp-main.787
发表时间:
2021-09
期刊:
影响因子:
--
作者:
[Jiseon Kim;Elden Griggs;In Song Kim;Alice H. Oh]
通讯作者:
Jiseon Kim;Elden Griggs;In Song Kim;Alice H. Oh
Policy as a Private Good: Firm-Lobbyist-Politician Networks in the Legislative Process
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批准号:1725235
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项目类别:Continuing Grant
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资助金额:$24.43万
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财政年份:2017
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负责人:In Song Kim
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依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data
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批准号:60601030
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项目类别:青年科学基金项目
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资助金额:17.0万元
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批准年份:2006
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负责人:Axel Mosig
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依托单位: