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文献题目：The Cross-section of Firms over the BusinessCycle: New Facts and a DSGE Exploration

公司在业务中的横断面周期：新事实和DSGE探索

文献中用到索洛余值，可以参考

作者：Ruediger BachmannChristian Bayer


摘要：Using a German firm-level data set, this paper is the first to jointly study the cyclical properties of the cross-sections of firm-level real value added and Solow residual innovations, as well as capital and employment adjustment. We find two new business cycle facts: 1) The cross-sectional standard deviation of firm-level innovations in the Solow residual, value added and employment is robustly and significantly countercyclical. 2) The cross-sectional standard deviation of firm-level investment is procyclical. We show that a heterogeneous-firm RBC model with quantitatively realistic countercyclically disperse innovations in the firm-level Solow residual and non-convex adjustment costs calibrated to the non-Gaussian features of the steady state investment rate distribution, produces investment dispersion that positively comoves with the cycle, with a correlation coefficient of 0.58, compared to 0.45 in the data. We argue more generally that the cross-sectional business cycle dynamics impose tight empirical restrictions on structural parameters and stochastic properties of driving forces in heterogeneous-firm models, and are therefore paramount in the calibration of these models.

本文使用德国公司级数据集，是第一个共同研究公司级实际增值和Solow残差创新以及资本和就业调整的横截面的周期性特征。我们发现了两个新的商业周期事实：1）Solow残差，附加值和就业率中企业级创新的横截面标准差具有明显的反周期性。 2）企业层面投资的横截面标准差是顺周期的。我们表明，具有量化现实反周期分散创新的异质公司RBC模型在企业级Solow残差和非凸调整成本已根据稳态投资率分布的非高斯特征进行了校准，从而产生了与该周期的相关系数为0.58，而数据中的相关系数为0.45。我们更普遍地认为，横截面商业周期动态对异质公司模型中的结构参数和驱动力的随机特性施加了严格的经验限制，因此在这些模型的校准中至关重要。（机翻，有错误请谅解）

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感谢楼主分享，最近在读的文献中正好有提到索洛余值