scispace - formally typeset
Open AccessPosted Content

The Granular Origins of Aggregate Fluctuations

Reads0
Chats0
TLDR
This article showed that idiosyncratic firm-level fluctuations can explain an important part of aggregate shocks, and provide a micro-foundation for aggregate productivity shocks, arguing that individual firm shocks average out in aggregate.
Abstract
This paper proposes that idiosyncratic firm-level fluctuations can explain an important part of aggregate shocks, and provide a microfoundation for aggregate productivity shocks. Existing research has focused on using aggregate shocks to explain business cycles, arguing that individual firm shocks average out in aggregate. I show that this argument breaks down if the distribution of firm sizes is fat-tailed, as documented empirically. The idiosyncratic movements of the largest 100 firms in the US appear to explain about one third of variations in output and the Solow residual. This "granular" hypothesis suggests new directions for macroeconomic research, in particular that macroeconomic questions can be clarified by looking at the behavior of large firms. This paper's ideas and analytical results may also be useful to think about the fluctuations of other economic aggregates, such as exports or the trade balance.

read more

Citations
More filters
Journal ArticleDOI

Sectoral versus Aggregate Shocks: A Structural Factor Analysis of Industrial Production

TL;DR: The authors decompose industrial production into components arising from aggregate and sector-specific shocks, and find that nearly all of IP variability is associated with common factors, while the role of idiosyncratic shocks increased considerably after the mid-1980s, explaining half of the quarterly variation in IP.
Journal ArticleDOI

Power Laws in Economics: An Introduction

TL;DR: The law of comparative advantage is a qualitative law, and not a quantitative one as is the rule in physics as mentioned in this paper, and it is a law that requires too much sophistication and rationality on the part of the agents to actually hold true in practice.
Journal ArticleDOI

The Great Diversification and its Undoing

TL;DR: In this article, the authors investigate the hypothesis that macroeconomic fluctuations are primitively the results of many microeconomic shocks, and show that it has significant explanatory power for the evolution of macroeconomic volatility.
Journal ArticleDOI

The Importance of Industry Links in Merger Waves

TL;DR: In this paper, the authors represent the economy as a network of industries connected through customer and supplier trade flows and find that stronger product market connections lead to a greater incidence of cross-industry mergers.
Posted Content

Firms, Destinations, and Aggregate Fluctuations

TL;DR: In this article, the authors used a database covering the universe of French firms for the period 1990-2007 to provide a forensic account of the role of individual firms in generating aggregate fluctuations.
References
More filters
Journal ArticleDOI

Emergence of Scaling in Random Networks

TL;DR: A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
Book

The Government Printing Office

TL;DR: In this article, the official journals of government are produced at their 1.5 million square foot plant, the largest industrial facility in the District and significant issues of outdated plant and equipment.
Journal ArticleDOI

Time to build and aggregate fluctuations

TL;DR: In this article, a general equilibrium model is developed and fitted to U.S. quarterly data for the post-war period, with the assumption that more than one time period is required for the construction of new productive capital and the non-time-separable utility function that admits greater intertemporal substitution of leisure.
Book

Probability: Theory and Examples

TL;DR: In this paper, a comprehensive introduction to probability theory covering laws of large numbers, central limit theorem, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion is presented.
Related Papers (5)