Debt, Default and Business Cycles with Heterogeneous Firms

异质公司的债务、违约和商业周期

• 批准号: 1357725
• 负责人: Julia Thomas
• 金额: $ 43.08万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2017-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1357725&HistoricalAwards=false
• 关键词: Debt; Default; Business; Cycles; Heterogeneous

This award funds research on the effects of financial shocks on macroeconomic activity. In the 2007 recession, financial shocks to the credit market were followed by a sharp decline in aggregate investment and employment. However, the credit shocks did not affect all firms in the same way. For example, we know that job loss was disproportionately concentrated among small firms compared to past recessions, and firms with lower cash holdings experienced far larger declines in investment spending. The PIs will develop new quantitative models of how financial shocks affect the economy through effects on different kinds of individual firms. Existing models largely rely on an assumption that all firms in a sector are very similar. The new model is more difficult to analyze, but also more realistic. The model and methods developed in this project may improve our ability to determine whether or not a given financial shock will result in recession.The PIs will develop and solve two quantitative DSGE models wherein shocks to financial markets affect borrowers' default risk and thus credit conditions facing nonfinancial firms. The models include a distribution of firms over capital, debt and firm specific productivity, endogenous firm entry and exit, financial shocks affecting equilibrium loan rate schedules offered to borrowers, and real shocks affecting aggregate productivity. The first model explores one-period debt; the second generalizes the first to accommodate firms with differing debt maturities. Firms accumulate capital and may borrow or save; for consistency with firm-level financial data, the model allows for retained earnings. The PIs target the observed relation between size and leverage and the volatility of cash ratios among U.S. nonfinancial firms in the model calibration.

该奖项资助金融冲击对宏观经济活动影响的研究。 2007年经济衰退期间，信贷市场受到金融冲击，随之而来的是总投资和就业急剧下降。 然而，信贷冲击并没有以同样的方式影响所有企业。 例如，我们知道，与过去的经济衰退相比，失业不成比例地集中在小企业中，而现金持有量较低的企业的投资支出下降幅度要大得多。 PI 将开发新的定量模型，研究金融冲击如何通过对不同类型的个体企业的影响来影响经济。 现有模型很大程度上依赖于一个假设，即一个行业中的所有公司都非常相似。 新模型更难分析，但也更现实。 该项目中开发的模型和方法可以提高我们确定特定金融冲击是否会导致衰退的能力。PI 将开发并解决两个定量 DSGE 模型，其中金融市场的冲击影响借款人的违约风险，从而影响信贷状况面对非金融企业。 这些模型包括企业在资本、债务和企业特定生产率方面的分布、内生企业进入和退出、影响向借款人提供的均衡贷款利率表的金融冲击以及影响总生产率的实际冲击。 第一个模型探讨单期债务；第二个概括了第一个，以适应具有不同债务期限的公司。 企业积累资本并可以借贷或储蓄；为了与公司层面的财务数据保持一致，该模型考虑了留存收益。 PI 的目标是模型校准中观察到的美国非金融企业规模与杠杆率以及现金比率波动性之间的关系。