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
Posted Content

Price Rigidity and the Granular Origins of Aggregate Fluctuations

TL;DR: In this article, the authors study the potency of sectoral productivity shocks to drive aggregate fluctuations in the presence of three empirically relevant heterogeneities across sectors: sector size, intermediate input consumption, and pricing frictions in a multi-sector New Keynesian model.
Posted Content

Consumer search and firm growth

TL;DR: In this article, a simple model of search and matching between consumers and firms is presented, where the firm size distribution has a Pareto-like right tail if the population of consumers grows at a positive rate and the mean rate at which incumbent firms gain customers is also positive.
Journal ArticleDOI

Why Are Big Banks Getting Bigger

TL;DR: This paper used nonparametric empirical methods that characterize dynamic power law distributions in terms of two shaping factors, i.e., the reversion rates (a measure of crosssectional mean reversion) and idiosyncratic volatilities of assets for different size-ranked banks.
Posted Content

Pipeline Pressures and Sectoral Inflation Dynamics

TL;DR: In this paper, the authors provide a structural definition of pipeline pressures to inflation and use Bayesian techniques to infer their presence from quarterly U.S. data, showing that pipeline pressures take time to materialize which renders them an important source of inflation persistence.
Journal ArticleDOI

Size distribution of cities: A kinetic explanation

TL;DR: In this article, the authors present a kinetic approach to the formation of urban agglomerations which is based on simple rules of immigration and emigration, and show that, in dependence of the microscopic rules of migration, the equilibrium density can follow both a power law for large values of the size variable, which contains as particular case a Zipf's law behavior, and a lognormal law for middle and low values of a size variable.
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)