Free entry and business cycles under the influence of animal spirits

We provide a business cycle model in which endogenous markup fluctuations are the main driving force. These fluctuations occur due to some form of ‘animal spirits’, impelling firms in their entry-exit decisions within each sector. By contrast to existing models of the business cycle emphasizing the role of animal spirits, we do not rely on the sink property of the equilibrium to generate indeterminacy. Hence, while our model does pretty well in accounting for the main features of US business cycles, it avoids several criticisms addressed to these former models, concerning either their dependence upon strongly increasing returns, too high markups, or their implication of countercyclical movements of consumption.     

经济周期、前景理论与BHS资产定价模型修正

行为资产定价研究引起了国内外的广泛关注,但由于现实资本市场中诸多异象的存在,导致人们对经典资产定价模型的质疑。经济周期波动会对投资者的理性产生显著影响,而非理性投资可能引发金融危机。据此,引入经济周期这一独特视角,剖析前景理论对资产定价的作用机理;提出相关假设,对BHS模型进行修正,以适应经济周期影响下的行为资产定价问题研究。     

Investment shocks and business cycles

The origins of business cycles are still controversial among macroeconomists. This paper contributes to this debate by studying the driving forces of fluctuations in an estimated new neoclassical synthesis model of the U.S. economy. In this model, most of the variability of output and hours at business cycle frequencies is due to shocks to the marginal efficiency of investment. Imperfect competition and, to a lesser extent, technological frictions are the key to their transmission. Although labor supply shocks explain a large fraction of the fluctuations in hours at very low frequencies, they are irrelevant over the business cycle. This finding is important because the microfoundations of these disturbances are widely regarded as unappealing.     

中国企业杠杆:一个周期性问题?

一直以来,企业部门杠杆率在中国宏观杠杆率中占有重要的地位。通过构建企业杠杆率的动态局部调整模型,本文区分了经济周期对企业杠杆率的直接和间接影响,并利用中国工业企业数据库对二者进行测算。结果显示,用观察经济周期哑变量估计系数的方式来判断经济周期对企业杠杆率的影响,会显著高估企业杠杆率顺周期调整的程度,因为这只捕捉了周期的直接影响。在同时考虑了经济周期对杠杆率的间接影响后,我们发现:第一,中国企业杠杆率总体仍具有顺周期性。这表明货币政策在维护物价水平、熨平经济周期波动时,能够对企业杠杆率稳定产生一定的正向溢出效应。因此,双支柱调控框架具有内在一致性,可以形成政策合力。第二,中国企业杠杆率变动的顺周期性较弱,尤其是国有企业。因此,想要在保持物价和经济增长稳定的同时实现稳杠杆,货币政策和宏观审慎政策需相互协调配合。本文的研究为思考双支柱调控框架的分工与协调提供了有益的微观基础。     

Macroeconomic determinants of stock volatility and volatility premiums

How does stock market volatility relate to the business cycle? We develop, and estimate, a no-arbitrage model, and find that (i) the level and fluctuations of stock volatility are largely explained by business cycle factors and (ii) some unobserved factor contributes to nearly 20% to the overall variation in volatility, although not to its ups and downs. Instead, this “volatility of volatility” relates to the business cycle. Finally, volatility risk-premiums are strongly countercyclical, even more than stock volatility, and partially explain the large swings of the VIX index during the 2007–2009 subprime crisis, which our model captures in out-of-sample experiments.     

What Is the Importance of Monetary and Fiscal Shocks in Explaining U.S. Macroeconomic Fluctuations?

This paper analyzes the importance of monetary and fiscal policy shocks in explaining U.S. macroeconomic fluctuations, and establishes new stylized facts. The novelty of our empirical analysis is that we jointly consider both monetary and fiscal policy, whereas the existing literature only focuses on either one or the other. Our main findings are twofold: fiscal shocks are relatively more important in explaining medium cycle fluctuations whereas monetary policy shocks are relatively more important in explaining business cycle fluctuations, and failing to recognize that both monetary and fiscal policy simultaneously affect macroeconomic variables might incorrectly attribute the fluctuations to the wrong source.     

Financial frictions on capital allocation: A transmission mechanism of TFP fluctuations

This paper provides a theory of financial frictions as a transmission mechanism for news shocks to drive aggregate TFP fluctuations. We show that in an economy calibrated to U.S. data, variations in financial frictions on capital allocation in response to news about future technology can generate aggregate TFP fluctuations and, thus, trigger business cycles before the actual technological change is realized. Using the COMPUSTAT dataset, we find that the relative capital productivity of financially constrained to unconstrained firms is highly countercyclical. Moreover, our VAR analysis shows that news shocks can account for a substantial fraction of the relative capital productivity fluctuations over business cycle frequencies.     

Aggregate Implications of Heterogeneous Households in a Sticky‐Price Model

This paper analyzes the role of heterogeneous households in propagating shocks over the business cycle by generalizing a basic sticky‐price model to allow for imperfect risk sharing between households that differ in labor incomes. I show that imperfectly insured household consumption distorts household incentive to supply labor hours through an idiosyncratic income effect, which in turn generates strategic complementarities in price setting and thus amplifies business cycle fluctuations. This mechanism diminishes the role of nominal rigidities and makes sticky‐price models more consistent with microeconomic evidence on the frequency of price changes.     

‘Wait-and-See’ business cycles?

Are shocks to firms' profitability risk, propagated by physical capital adjustment costs, a major source of business cycle fluctuations? This paper studies this question using a heterogeneous-firm dynamic stochastic general equilibrium model, where firms face fixed capital adjustment costs. Surprise increases in idiosyncratic risk lead firms to adopt a ‘wait-and-see’ policy for investment. The model is calibrated using a German firm-level data set with broader coverage than comparable U.S. data sets. The main result is that time-varying firm-level risk through ‘wait-and-see’ dynamics is unlikely a major source of business cycle fluctuations.     

Long-run growth uncertainty

Observed macroeconomic forecasts display a positive correlation between expectations of long-run growth of endogenous variables (e.g., output) and cyclical activity. Existing business cycle models appear inconsistent with the evidence. This paper presents a model of the business cycle in which households have imperfect knowledge of long-run growth rate of endogenous variables and continually learn about these growth rates. The model features comovement and mutual influence between households׳ growth expectations and market outcomes. It can replicate the evidence on growth forecasts and suggests that optimism and pessimism about long-run growth rates is a crucial ingredient in understanding business cycle fluctuations.     

Trade wedges,inventories, and international business cycles

The large, persistent fluctuations in international trade that cannot be explained in standard models by changes in expenditures and relative prices are often attributed to trade wedges. We show that these trade wedges can reflect the decisions of importers to change their inventory holdings. We find that a two-country model of international business cycles with an inventory management decision can generate trade flows and wedges consistent with the data. Moreover, matching trade flows alters the international transmission of business cycles. Specifically, real net exports become countercyclical and consumption is less correlated across countries than in standard models. We also show that ignoring inventories as a source of trade wedges substantially overstates the role of trade wedges in business cycle fluctuations.     

The stylized facts about the behavior of manufacturers' inventories and backorders over the business cycle: 1959–1980

Recent theoretical work has highlighted the role of inventories in propagating business cycles. This paper attempts to provide an empirical foundation for current and future research on the role inventories play in business cycles. The evidence presented here indicates that inventories and backorders are major variables in predicting output fluctuations. Further, the evidence is that disaggregating inventories by stage-of-fabrication is important in predicting output. In concert with previous findings, our results suggest that disaggregated inventories ought to be a component of models of the business cycle.     

Microeconomic uncertainty,international trade,and aggregate fluctuations

The extent and direction of causation between micro volatility and business cycles are debated. We examine, empirically and theoretically, the source and effects of fluctuations in the dispersion of producer-level sales and production over the business cycle. On the theoretical side, we study the effect of exogenous first- and second-moment shocks to producer-level productivity in a two-country DSGE model with heterogeneous producers and an endogenous dynamic export participation decision. First-moment shocks cause endogenous fluctuations in producer-level dispersion by reallocating production internationally, while second-moment shocks lead to increases in trade relative to GDP in recessions. Empirically, using detailed product-level data in the motor vehicle industry and industry-level data of U.S. manufacturers, we find evidence that international reallocation is indeed important for understanding cross-industry variation in cyclical patterns of measured dispersion.     

Does Money Matter in Shaping Domestic Business Cycles? An International Investigation

We study the contribution of money to business‐cycle fluctuations in the United States, the United Kingdom, Japan, and the euro area using a small‐scale structural monetary business cycle model. Constrained likelihood‐based estimates of the parameters are provided and time instabilities analyzed. Real balances are statistically important for output and inflation fluctuations. Their contribution changes over time. Models giving money no role provide a distorted representation of the sources of cyclical fluctuations, of the transmission of shocks, and of the events of the last 40 years.     

Policy risk and the business cycle

The argument that uncertainty about monetary and fiscal policy has been holding back the recovery in the U.S. during the Great Recession has a large popular appeal. This paper uses an estimated New Keynesian model to analyze the role of policy risk in explaining business cycles. We directly measure risk from aggregate data and find a moderate amount of time-varying policy risk. The “pure uncertainty” effect of this policy risk is unlikely to play a major role in business cycle fluctuations. In the estimated model, output effects are relatively small because policy risk shocks are (i) too small and (ii) not sufficiently amplified.     

Indeterminacy, aggregate demand, and the real business cycle

We show that under indeterminacy aggregate demand shocks are able to explain not only aspects of actual fluctuations that standard RBC models predict fairly well, but also aspects of actual fluctuations that standard RBC models cannot explain, such as the hump-shaped, trend reverting impulse responses to transitory shocks found in US output (Cogley and Nason, Am. Econom. Rev. 85 (1995) 492); the large forecastable movements and comovements of output, consumption and hours (Rotemberg and Woodford, Am. Econom. Rev. 86 (1996) 71); and the fact that consumption appears to lead output and investment over the business cycle. Indeterminacy arises in our model due to capacity utilization and mild increasing returns to scale.     

Gold rush fever in business cycles

A flexible price model of the business cycle is proposed, in which fluctuations are driven primarily by inefficient movements in investment around a stochastic trend. A boom in the model arises when investors rush to exploit new market opportunities even though the resulting investments simply crowd out the value of previous investments. A metaphor for such profit driven fluctuations are gold rushes, as they are periods of economic boom associated with expenditures aimed at securing claims near new found veins of gold. An attractive feature of the model is its capacity to provide a simple structural interpretation to the properties of a standard consumption and output Vector Autoregression.     

Animal Spirits,Financial Markets,and Aggregate Instability

This paper examines whether people's animal spirits were drivers of U.S. business cycle fluctuations. In the context of an estimated macroeconomy with endogenous financial market frictions, allowing for “psychological” or nonfundamental expectational shocks improves the fit of the model and, at the posterior mode, these shocks account for well over one-third of output fluctuations. Exogenous financial frictions are considerably less important. U.S. data favor the indeterminacy model over versions of the economy in which animal spirits cannot play a role.     

Financial distress, bankruptcy law and the business cycle

This paper explores the business cycle implications of financial distress and bankruptcy law. We find that due to the presence of financial imperfections the effect of liquidations on the price of capital goods can generate endogenous fluctuations. We show that a law reform that ‘softens’ bankruptcy law may increase the amplitude of the cycle in the long run. In contrast, a policy of bailing out businesses during the bust or actively managing the interest rate across the cycle could stabilize the economy in the long run. A comprehensive welfare analysis of these policies is provided as well.      

Firm entry,markups and the monetary transmission mechanism

Two business cycle models with endogenous firm and product entry are estimated by matching impulse responses to a monetary policy shock. The ‘competition effect’ implies that entry lowers desired markups and dampens inflation. Under translog preferences, where the substitutability between goods depends on their number, we find evidence of such an effect. That model generates more countercyclical markups than Dixit and Stiglitz (1977) monopolistic competition model, where price stickiness is the only source of markup fluctuations. In contrast, a model with strategic interactions between oligopolistic firms cannot generate an empirically relevant competition effect and is statistically equivalent to the Dixit–Stiglitz model.