This paper uses maximum likelihood to estimate a prototypical real business cycle model under several di!erent assumptions regarding the stochastic process governing technological change. The estimation approach permits the use of formal statistical hypothesis tests to help discriminate between comp
Animal spirits, technology shocks and the business cycle
โ Scribed by Mark Weder
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 192 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0165-1889
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โฆ Synopsis
This paper presents a two-sector growth model which allows indeterminacy to occur at relatively mild degrees of increasing returns. It is shown that economies of scale need only be present in one sector of the economy, e.g. the investment good producing sector. This new feature of the model builds on evidence that was recently reported by Basu and Fernald (1997), (Journal of Political Economy 105, 249}283) and others. The time series that are generated by the model have properties that are comparable to the real U.S. postwar data. The sunspot driven model is also able to solve some puzzles of business cycle research which standard Real Business Cycle models have not been able to explain.
๐ SIMILAR VOLUMES
In this paper the business cycle properties of UK data are investigated using a VAR technique. A Real Business Cycle (RBC) model is formulated. The model includes both permanent and transitory shocks to technology. The business cycle properties of the data and the model are investigated by deriving
## Abstract This paper explores the effects of the US business cycle on US stock market returns through an analysis of the equity risk premium. We propose a new methodology based on the SDF approach to asset pricing that allows us to uncover the different effects of aggregate demand and supply shoc
The goal of this paper is to examine the relative importance of permanent and transitory shocks in explaining variations in macroeconomic aggregates for the UK at business cycle horizons. Using the common trend-common cycle restrictions, we estimate a variance decomposition of shocks, and find that