• Graduate Programs
    • Tinbergen Institute Research Master in Economics
      • Why Tinbergen Institute?
      • Research Master
      • Admissions
      • All Placement Records
      • PhD Vacancies
    • Facilities
    • Research Master Business Data Science
    • Education for external participants
    • Summer School
    • Tinbergen Institute Lectures
    • PhD Vacancies
  • Research
  • Browse our Courses
  • Events
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
    • Applied Public Policy Evaluation
    • Deep Learning
    • Development Economics
    • Economics of Blockchain and Digital Currencies
    • Economics of Climate Change
    • The Economics of Crime
    • Foundations of Machine Learning with Applications in Python
    • From Preference to Choice: The Economic Theory of Decision-Making
    • Inequalities in Health and Healthcare
    • Marketing Research with Purpose
    • Markets with Frictions
    • Modern Toolbox for Spatial and Functional Data
    • Sustainable Finance
    • Tuition Fees and Payment
  • Alumni
    • PhD Theses
    • Master Theses
    • Selected PhD Placements
    • Key alumni publications
    • Alumni Community

Freire, G. and Resende, M. (2020). Conditional growth volatility and sectoral comovement in U.S. industrial production, 1828–1915 Empirical Economics, 59(6):3063--3084.


  • Affiliated author
    Gustavo Freire
  • Publication year
    2020
  • Journal
    Empirical Economics

This article investigates conditional growth volatility for industrial production in the U.S. during 1828–1915, taking as a reference sectoral and aggregate indexes constructed in connection to Davis (Quart J Econ 119:1177–1215, 2004). The period includes the major shock represented by the Civil War with the associated resource allocation distortions. The evidence mostly suggests high persistence in conditional volatility as would be found in later studies for the U.S. on GDP growth volatility. However, the evidence of asymmetric volatility appears to be more localized and salient examples of a stronger role of negative shocks on volatility can be identified in the cases of the textile, machinery and metals sectors that might have been more vulnerable to the Civil War. As for interindustry linkages, a complementary factor analysis suggests that the communality changes between the antebellum and postbellum eras. The relative importance of the aggregate shocks increased considerably after the Civil War. This indicates that the Civil War had significant effects in raising the cross-correlation between most sectors, suggesting substantial changes in the basic productive relationships in U.S. 19th century economy.