The sectoral analysis of business cycles: the role of aggregate and disaggregate shocks

Thumbnail Image
Date
1992
Authors
Kang, Gi
Major Professor
Advisor
Peter F. Orazem
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Altmetrics
Authors
Research Projects
Organizational Units
Organizational Unit
Economics

The Department of Economic Science was founded in 1898 to teach economic theory as a truth of industrial life, and was very much concerned with applying economics to business and industry, particularly agriculture. Between 1910 and 1967 it showed the growing influence of other social studies, such as sociology, history, and political science. Today it encompasses the majors of Agricultural Business (preparing for agricultural finance and management), Business Economics, and Economics (for advanced studies in business or economics or for careers in financing, management, insurance, etc).

History
The Department of Economic Science was founded in 1898 under the Division of Industrial Science (later College of Liberal Arts and Sciences); it became co-directed by the Division of Agriculture in 1919. In 1910 it became the Department of Economics and Political Science. In 1913 it became the Department of Applied Economics and Social Science; in 1924 it became the Department of Economics, History, and Sociology; in 1931 it became the Department of Economics and Sociology. In 1967 it became the Department of Economics, and in 2007 it became co-directed by the Colleges of Agriculture and Life Sciences, Liberal Arts and Sciences, and Business.

Dates of Existence
1898–present

Historical Names

  • Department of Economic Science (1898–1910)
  • Department of Economics and Political Science (1910-1913)
  • Department of Applied Economics and Social Science (1913–1924)
  • Department of Economics, History and Sociology (1924–1931)
  • Department of Economics and Sociology (1931–1967)

Related Units

Journal Issue
Is Version Of
Versions
Series
Department
Abstract

This dissertation is a contribution to the analysis of disaggregate and aggregate business cycles. The motivation for the study comes from the need to assess whether shocks which initially affect specific sectors can induce aggregate output fluctuations. This can occur not only because aggregate output is the sum of sectoral output, but also because of trade linkage across sectors. Two main purposes of this dissertation are to investigate empirically the causal direction between aggregate and disaggregate output and to examine the relative importance of aggregate and disaggregate shocks. The study utilizes monthly industrial production indices for twelve disaggregated industries in Korea;The theoretical basis of this study is a multi-sector business cycle model developed by Long and Plosser (1983). This model is used to motivate a trivariate Vector Autoregressive (VAR) model, called Sector-by-Sector model, to establish the causal link between sectoral and aggregate output fluctuations. Then the theory is used to motivate a restricted Multi-sector VAR model. The latter is estimated by Seeming Unrelated Regression (SUR) method. The innovations from the SUR estimation are used to establish the source of shocks to the economy. The errors are assumed to be due to aggregate, industry and sectoral shocks. The variances of these shocks and parameters which determine the impact of the shocks on sectoral growth rates are estimated by method of moments. In addition, factor analysis of the estimated innovations is employed to determine the number of common shocks in the economy;In the Sector-by-Sector analysis, each sectoral output in durable manufacturing industry has a strong causal link to other sectors in the economy. Sectoral output in mining industry has the strongest causal link to aggregate output. The Multi-sector analysis demonstrated that one common shock was sufficient to describe aggregate innovations in the Korean economy. Shocks to individual sectors generate almost two-thirds of the innovations in the growth rates for the Korean economy. Aggregate shocks are responsible for just over one-quarter of the innovations in long run growth rates. These findings are supportive of the "weak" version of real business cycle theory.

Comments
Description
Keywords
Citation
Source
Subject Categories
Keywords
Copyright
Wed Jan 01 00:00:00 UTC 1992