Labor-supply shifts and economic fluctuations

We propose a new VAR identification scheme that distinguishes shifts of and movements along the labor demand schedule to identify labor-supply shocks. According to our VAR analysis of post-war US data, labor-supply shifts account for about 30 percent of the variation in hours and about 15 percent of the output fluctuations at business cycle frequencies. To assess the role of labor-supply shifts in a more structural framework, estimates from a dynamic general equilibrium model with stochastic variation in home production technology are compared to those from the VAR.     

Globally correlated nominal fluctuations

Fluctuations in nominal variables—aggregate price levels and nominal interest rates—are documented to be substantially more synchronized across countries at business cycle frequencies than fluctuations in real output. A transparent mechanism accounting for this striking feature of the nominal environment is described and quantitatively evaluated. It is based on the interaction between (small) cross-country spillovers of shocks, Taylor rules, and domestic no-arbitrage conditions. The mechanism is robust to various parameterizations and extensions aligning the model with other important aspects of domestic and international fluctuations. Furthermore, its key features are consistent with cross-country forecasts from Consensus survey.     

Consumption heterogeneity,employment dynamics and macroeconomic co-movement

Real-business-cycle models rely on total factor productivity (TFP) shocks to explain the observed co-movement among consumption, investment and hours. However an emerging body of evidence identifies “investment shocks” as important drivers of business cycles. This paper shows that a neoclassical model consistent with observed heterogeneity in labor supply and consumption across employed and non-employed can generate co-movement in response non-TFP shocks. Estimation reveals fluctuations in the marginal efficiency of investment that explain the bulk of business-cycle variance in consumption, investment and hours. A corollary of the model׳s empirical success is the labor wedge that is not important at business-cycle frequencies.     

On the cyclical behavior of employment, unemployment and labor force participation

In this paper I evaluate to what extent a real business cycle (RBC) model that incorporates search and home production decisions can simultaneously account for the observed behavior of employment, unemployment and out-of-the-labor-force. This contrasts with the previous RBC literature, which analyzed employment or hours fluctuations either by lumping together unemployment and out-of-the-labor-force into a single non-employment state or by assuming a fixed labor force. Once the three employment states are explicitly introduced I find that the RBC model generates highly counterfactual labor market dynamics.     

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.     

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.     

Mood Swings and Business Cycles: Evidence from Sign Restrictions

This paper provides new evidence that bouts of optimism and pessimism are an important source of U.S. business cycles, using the identification schemes based on sign restrictions. We document that identified optimism and pessimism shocks account for about 30% of U.S. business‐cycle fluctuations in hours and output. In addition, our empirical findings are consistent with the intensive‐ and extensive‐margin adjustments in the U.S. labor market over business cycles, providing further support to optimism shocks being an important source of U.S. business cycles. The identified optimism shocks are at least partially rational as total factor productivity is found to rise 8–12 quarters after an initial bout of optimism. While this later finding is consistent with some previous findings in the news shock literature, we cannot rule out that such episodes reflect self‐fulfilling beliefs.     

Understanding the inventory cycle

Careful examination of aggregate data from the U.S. and other OECD countries reveals that production and inventory behavior exhibit paradoxical features: (1) Inventory investment is strongly countercyclical at very high frequencies (e.g., 2-3 quarters per cycle); it is procyclical only at relatively low-cyclical frequencies such as the business-cycle frequencies (e.g., 8-40 quarters per cycle). (2) Production is less volatile than sales around the high frequencies; it is more volatile than sales only around business-cycle or lower frequencies. (3) Unlike capital investment or GDP, the bulk of the variance of inventory investment is concentrated around high frequencies rather than around business-cycle frequencies. These features of production and inventory behavior at the low and high frequencies provide a litmus test for inventory theories. This paper shows that the stockout-avoidance theory [Kahn, J., 1987. Inventories and the volatility of production. American Economic Review 77, 667-679.] has much better potential than other competing theories for explaining the seemingly paradoxical features of inventory fluctuations observed at different cyclical frequencies. My analysis suggests that demand shocks are the main source of the business cycle.     

‘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.     

Methods versus substance: Measuring the effects of technology shocks

Calibration and modern (Bayesian) estimation methods for a neoclassical stochastic growth model are applied to make the case that the identification of key parameters, rather than quantitative methodologies per se, is responsible for empirical findings. For concreteness, the model is used to measure the contributions of technology shocks to the business cycle fluctuations of hours worked and output. Along the way, new insights are provided in the parameter identification associated with likelihood-based estimation, the sensitivity of likelihood-based estimation to the choice of structural shocks is assessed, and Bayesian model averaging is used to aggregate findings obtained from different DSGE model specifications.     

News about aggregate demand and the business cycle

The plausibility of expectations-driven cyclical fluctuations in an otherwise standard one-sector real business cycle model with variable capital utilization and mild increasing returns-to-scale in production is examined. Due to a dominating wealth effect, our model is able to generate qualitatively as well as quantitatively realistic aggregate fluctuations driven by news impulses to future consumption demand or government spending on goods and services. When the economy is subject to anticipated total factor productivity or investment-specific technology shocks, the relative strength of the intertemporal substitution effect needs to be enhanced for our model to exhibit positive macroeconomic co-movement and business cycle statistics that are consistent with the data.     

News shocks and business cycles

This paper proposes and implements a novel structural VAR approach to the identification of news shocks about future technology. The news shock is identified as the shock orthogonal to the innovation in current utilization-adjusted TFP that best explains variation in future TFP. A favorable news shock leads to an increase in consumption and decreases in output, hours, and investment on impact - more suggestive of standard DSGE models than of recent extensions designed to generate news-driven business cycles. Though news shocks account for a significant fraction of output fluctuations at medium frequencies, they contribute little to our understanding of recessions.     

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.     

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.     

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.     

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.     

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.     

Search Frictions,Financial Frictions,and Labor Market Fluctuations in Emerging Markets

This article examines the role of the extensive and intensive margins of labor input in the context of a business cycle model with a financial friction. We document significant variation in the hours worked per worker for many emerging-market economies using manufacturing data. Both employment and hours worked per worker are positively correlated with each other and with output. We show that a search-theoretic context in a small open-economy model requires a small wealth effect to explain these regularities at the expense of a smaller wage response. On the other hand, introducing a financial friction in the form of a working capital requirement can explain the observed movements of labor market variables such as employment and hours worked per worker, as well as other distinguishable business cycle characteristics of emerging economies. These include highly volatile and cyclical real wages, labor share, and consumption.     

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.     

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.