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SBE-UKRI: Business Cycles, Uncertain Growth and the Distribution of Production

SBE-UKRI: Business Cycles, Uncertain Growth and the Distribution of Production
SBE-UKRI:商业周期、不确定增长和生产分配
批准号:
ES/V012266/1
负责人:
Tatsuro Senga
金额:
$44.7万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

项目摘要

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中文摘要
翻译
从历史上看,年轻公司在创造就业方面占有很大份额,其中最成功的公司在所有公司中增长率最高,是提高生产率的创新的主要来源。因此,自2007年以来的分配转变,以数量大幅减少、规模较小、增长缓慢的年轻公司为特征,可能会威胁到持久的经济损害。我们提议的环境具有必要的异质性,可以研究这些变化、投资疲软和总生产率放缓之间的相互作用。我们将确保我们的模型再现战后的总体规则,同时预测公司的分布与美国公司的分布有意义地相似,并允许发生类似于上次经济衰退以来美国企业之间的分配变化的可能性。在我们的环境中,当存在对全要素生产率增长和增长不确定性的冲击时,用不可分效用求解随机动态一般均衡需要在现有的异质企业研究的基础上推广数值方法。我们的新方法将引起在该领域工作的研究人员的普遍兴趣,扩大微观到宏观研究的领域。
英文摘要
Young firms historically have had a large share in job creation, and the most successful among them have the highest growth rates of all firms and are a major source of productivity-enhancing innovation. Distributional shifts since 2007 featuring substantially fewer, smaller and slower-growing young firms thus may threaten lasting economic damage. Our proposed environment has the necessary heterogeneity to study the interplay between these changes, anemic investment and the aggregate productivity slowdown. We will ensure that our model reproduces post-war aggregate regularities while predicting a distribution of firms that meaningfully resembles the U.S. firm distribution and allowing a possibility of distributional changes like those among U.S. businesses since the last recession. Solving for stochastic dynamic general equilibrium in the presence of shocks to TFP growth and growth uncertainty in our setting with non-separable utility requires a generalization of numerical methods beyond existing heterogeneous firm studies. Our new method will be of general interest to researchers working in the area, expanding the realm of micro-to-macro research.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
Uncertainty, Imperfect Information, and Expectation Formation Over the Firms's Life Cycle
公司生命周期的不确定性、不完全信息和预期形成
DOI: 10.2139/ssrn.3671254
发表时间: 2020
期刊: SSRN Electronic Journal
影响因子: --
作者: [Chen C]
通讯作者: Chen C
DOI: 10.3386/w29591
发表时间: 2021-12
期刊: SSRN Electronic Journal
影响因子: --
作者: [N. Bloom;Takafumi Kawakubo;C. Meng;P. Mizen;Rebecca Riley;Tatsuro Senga;J. Van Reenen]
通讯作者: N. Bloom;Takafumi Kawakubo;C. Meng;P. Mizen;Rebecca Riley;Tatsuro Senga;J. Van Reenen
Measuring business-level expectations and uncertainty: survey evidence and the COVID-19 pandemic.
衡量业务级别的期望和不确定性:调查证据和COVID-19大流行。
DOI: 10.1007/s42973-021-00078-8
发表时间: 2021
期刊: Japanese economic review (Oxford, England)
影响因子: --
作者: [Chen C, Senga T, Zhang H]
通讯作者: Zhang H
Uncertainty, imperfect information, and expectation formation over the firm's life cycle
公司生命周期中的不确定性、不完全信息和预期形成
DOI: 10.1016/j.jmoneco.2023.08.001
发表时间: 2023
期刊: Journal of Monetary Economics
影响因子: 4.1
作者: [Chen C]
通讯作者: Chen C
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