Innovation and Economic Volatility: Facts and Theory Public

Abstract

The pioneer work, Comin and Mulani (2007, JME), contributes the diverging trends between microeconomic and macroeconomic level volatility to the arrival of general purpose technology found by the market leaders. This paper documents that the patent count as a measure of innovation can significantly account for the increase in firm volatility and the decline in aggregate level volatility, replacing the effect of general purpose technology in the recent literature. Here, I document the data collection, construction and regression results. Also, a benchmark general equilibrium model is proposed using industry equilibrium as in Melitz (2003).

Table of Contents

Contents 1

Introduction 1

2 Data 3

2.1 Data Sources 3

2.2 Data Construction 4

2.3 Summary Statistics 6

3 Empirical Findings 6

4 Regressions 10

5 General Equilibrium Model 11

5.1 Setup 11

5.2 Equilibrium 15

5.3 Analysis 15

6 Conclusions 18

About this Master's Thesis

Rights statement

• Permission granted by the author to include this thesis or dissertation in this repository. All rights reserved by the author. Please contact the author for information regarding the reproduction and use of this thesis or dissertation.

School	Laney Graduate School
Department	Economics
Degree	MA
Submission	Master's Thesis
Language	English
Research Field	Economics, General
Mot-clé	Economic Fluctuations Firm Patent
Committee Chair / Thesis Advisor	Yue, Zhanwei , Emory University
Committee Members	Lee, Junghoon , Emory University Chen, Kaiji, Emory University

Dernière modification

Primary PDF

Thumbnail	Title	Date Uploaded	Actions
	Innovation and Economic Volatility: Facts and Theory ()	2018-08-28 14:39:50 -0400	Press to Select an action Download

Supplemental Files

Thumbnail	Title	Date Uploaded	Actions