The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Medium-Term Business Cycles
Abstract
Over the postwar period, many industrialized countries have experienced significant medium-frequency oscillations between periods of robust growth versus relative stagnation. Conventional business cycle filters, however, tend to sweep these oscillations into the trend. In this paper we explore whether they may, instead, reflect a persistent response of economic activity to the high-frequency fluctuations normally associated with the cycle. We define as the medium-term cycle the sum of the high- and medium-frequency variation in the data, and then show that these kinds of fluctuations are substantially more volatile and persistent than are the conventional measures. These fluctuations, further, feature significant procyclical movements in both embodied and disembodied technological change, and research and development (R&D), as well as the efficiency and intensity of resource utilization. We then develop a model of medium-term business cycles. A virtue of the framework is that, in addition to offering a unified approach to explaining the high- and medium-frequency variation in the data, it fully endogenizes the movements in productivity that appear central to the persistence of these fluctuations. For comparison, we also explore how well an exogenous productivity model can explain the facts.
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Citations
Cites
Endogenous Technological Change
Romer, P. M. (1990) · Journal of Political Economy · doi:10.1086/261725 · Cited by 17,711
“A Model of Growth: Through Creative Destruction”
Aghion, P., & Howitt, P. (1992) · Econometrica · doi:10.2307/2951599 · Cited by 7,529
Blanchard, O. J., Nordhaus, W. D., & Phelps, E. S. (1997) · Brookings Papers on Economic Activity · doi:10.2307/2534687 · Cited by 588 · cited 3×
“Evolution of Productivity The R&D technology (equations (7) and (8)) implies that in the symmetric equilibrium the gross growth rate of new intermediate products in each sector depends positively on R&D (scaled relative to the social value of the capital stock), as follows:”
Cited by
Aghion, P., Askenazy, P., Berman, N., Cette, G., & Eymard, L. (2012) · Journal of the European Economic Association · doi:10.1111/j.1542-4774.2012.01093.x · Cited by 632
The Anatomy of Start-Stop Growth
Jones, B. F., & Olken, B. A. (2008) · Review of Economics and Statistics · doi:10.1162/rest.90.3.582 · Cited by 301
Demographic Structure and Macroeconomic Trends
Aksoy, Y., Basso, H. S., Smith, R. P., & Grasl, T. (2019) · American Economic Journal: Macroeconomics · doi:10.1257/mac.20170114 · Cited by 267
Bianchi, F., & Melosi, L. (2017) · American Economic Review · doi:10.1257/aer.20160186 · Cited by 220
Financial development and innovation-led growth: Is too much finance better?
Zhu, X., Asimakopoulos, S., & Kim, J. (2020) · Journal of International Money and Finance · doi:10.1016/j.jimonfin.2019.102083 · Cited by 173
Metadata
- Authors
- Comin, D., & Gertler, M.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2006-05-01
- Volume
- 96
- Issue
- 3
- Pages
- 523-551
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W3123499721
- Cited by
- 776
- References
- 3
- FWCI
- 59.96
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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