Microeconomic Origins of Macroeconomic Tail Risks


Book Description

We document that even though the normal distribution is a good approximation to the nature of aggregate fluctuations, it severely under-predicts the frequency of large economic downturns. We then provide a model that can explain these facts simultaneously. Our model show that the propagation of microeconomic shocks through input-output linkages can fundamentally reshape the distribution of aggregate output, increasing the likelihood of large downturns (macroeconomic tail risks) from infinitesimal to substantial. For example, an economy subject to thin-tailed micro shocks but with "unbalanced" input-output linkages (where some sectors or firms play a much more important role than others as inputs suppliers to the rest of the economy) may exhibit deep recessions as frequently as economies that are subject to heavy-tailed shocks. This is despite the fact that a central limit theorem-type result would imply that aggregate output is normally distributed. We characterize what types of input-output linkages and distributions of microeconomic shocks lead to sizable macroeconomic tail risks, and also show how the same economic forces cause the output of many sectors to simultaneously fall by large amounts. Keywords: Business cycles, macroeconomic tail risks, input-output linkages. JEL Classification: C67, E32.




Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions


Book Description

A rapidly growing body of research has examined tail risks in macroeconomic outcomes, commonly using quantile regression methods to estimate tail risks. Although much of this work discusses asymmetries in conditional predictive distributions, the analysis often focuses on evidence of downside risk varying more than upside risk. This pattern in risk estimates over time could obtain with conditional distributions that are symmetric but subject to simultaneous shifts in conditional means (down) and variances (up). We show that Bayesian vector autoregressions (BVARs) with stochastic volatility are able to capture tail risks in macroeconomic forecast distributions and outcomes. Even though the 1-step-ahead conditional predictive distributions from the conventional stochastic volatility specification are symmetric, forecasts of downside risks to output growth are more variable than upside risks, and the reverse applies in the case of inflation and unemployment. Overall, the BVAR models perform comparably to quantile regression for estimating and forecasting tail risks, complementing BVARs' established performance for forecasting and structural analysis.










Macroeconomic Tail Risks and Asset Prices


Book Description

I document that dividend growth and returns on the aggregate U.S. stock market are more correlated with consumption growth in bad economic times. In a consumption-based asset pricing model with a generalized disappointment averse investor and small, IID consumption shocks, this feature results in a realistic equity premium despite low risk aversion. The model is consistent with the main facts about stock market risk premia inferred from equity index options, remains tightly parameterized, and allows for analytical solutions for asset prices. An extension with non-IID dynamics accounts for excess volatility and return predictability while preserving the model's consistency with option moments.




The Economy as a Complex Spatial System


Book Description

This book is open access under a CC BY-NC 4.0 license. This collected volume represents the final outcome of the COST Action IS1104 “The EU in the new complex geography of economic systems: models, tools and policy evaluation”. Visualizing the EU as a complex and multi-layered network, the book is organized in three parts, each of them dealing with a different level of analysis: At the macro-level, Part I considers the interactions within large economic systems (regions or countries) involving trade, workers migration, and other factor movements. At the meso-level, Part II discusses interactions within specific but wide-ranging markets, with a focus on financial markets and banking systems. Lastly, at the micro-level, Part III explores the decision-making of single firms, especially in the context of location decisions.




The Oxford Handbook of the Economics of Networks


Book Description

The Oxford Handbook of the Economics of Networks represents the frontier of research into how and why networks they form, how they influence behavior, how they help govern outcomes in an interactive world, and how they shape collective decision making, opinion formation, and diffusion dynamics. From a methodological perspective, the contributors to this volume devote attention to theory, field experiments, laboratory experiments, and econometrics. Theoretical work in network formation, games played on networks, repeated games, and the interaction between linking and behavior is synthesized. A number of chapters are devoted to studying social process mediated by networks. Topics here include opinion formation, diffusion of information and disease, and learning. There are also chapters devoted to financial contagion and systemic risk, motivated in part by the recent financial crises. Another section discusses communities, with applications including social trust, favor exchange, and social collateral; the importance of communities for migration patterns; and the role that networks and communities play in the labor market. A prominent role of networks, from an economic perspective, is that they mediate trade. Several chapters cover bilateral trade in networks, strategic intermediation, and the role of networks in international trade. Contributions discuss as well the role of networks for organizations. On the one hand, one chapter discusses the role of networks for the performance of organizations, while two other chapters discuss managing networks of consumers and pricing in the presence of network-based spillovers. Finally, the authors discuss the internet as a network with attention to the issue of net neutrality.




NBER Macroeconomics Annual 2015


Book Description

This year, the NBER Macroeconomics Annual celebrates its thirtieth volume. The first two papers examine China’s macroeconomic development. “Trends and Cycles in China's Macroeconomy” by Chun Chang, Kaiji Chen, Daniel F. Waggoner, and Tao Zha outlines the key characteristics of growth and business cycles in China. “Demystifying the Chinese Housing Boom” by Hanming Fang, Quanlin Gu, Wei Xiong, and Li-An Zhou constructs a new house price index, showing that Chinese house prices have grown by ten percent per year over the past decade. The third paper, “External and Public Debt Crises” by Cristina Arellano, Andrew Atkeson, and Mark Wright, asks why there appear to be large differences across countries and subnational jurisdictions in the effect of rising public debts on economic outcomes. The fourth, “Networks and the Macroeconomy: An Empirical Exploration” by Daron Acemoglu, Ufuk Akcigit, and William Kerr, explains how the network structure of the US economy propagates the effect of gross output productivity shocks across upstream and downstream sectors. The fifth and sixth papers investigate the usefulness of surveys of household’s beliefs for understanding economic phenomena. “Expectations and Investment,” by Nicola Gennaioli, Yueran Ma, and Andrei Shleifer, demonstrates that a chief financial officer's expectations of a firm's future earnings growth is related to both the planned and actual future investment of that firm. “Declining Desire to Work and Downward Trends in Unemployment and Participation” by Regis Barnichon and Andrew Figura shows that an increasing number of prime-age Americans who are not in the labor force report no desire to work and that this decline accelerated during the second half of the 1990s.




Transmission of Domestic and External Shocks through Input-Output Network: Evidence from Korean Industries


Book Description

In the last two decades, manufacturing industries in Korea have become more concentrated, and interconnectedness across industries and to foreign countries has risen via vertical relationships and trade linkages. This paper investigates the transmission of economic shocks in such a highly concentrated and interconnected structure, focusing on the role of vertical and trade linkages and using the industry-level international input-output data. The results suggest that, first, the role of vertical and trade linkages in propagating growth shocks from both domestic sources and external sources is important. Second, the growth impact of a few key sources of economic shocks is relatively large. These findings highlight that economic shocks in a few key industries and/or major trading partners that are transmitted through vertical and trade linkages can lead to large swings in the overall economy. This paper contributes to the understanding of the potential interactions between the industrial structure and economic growth and stability.




The Impact of Remittances on Economic Activity: The Importance of Sectoral Linkages


Book Description

We propose a simple macroeconomic model with input-output sectoral linkages based on Acemoglu et al. (2016) to quantify how changes in aggregate demand due to additional income from household’s remittances propagates through the network of input-output linkages in Sub-Saharan African countries. We first propose two network centrality measures to assess the role of some sectors as key input providers in the economy. Then, we use these measures to quantify the effect of sectoral linkages on sectoral and total output following an increase in remittances inflows. Our empirical results suggest that the effects of remittances on recipient economies increase with the degree of linkages across sectors, which is especially prominent in the case of the financial intermediation sector. Our paper contributes to the emerging macroeconomic literature on the propagation of shocks across sectors and the implications for the whole economy.