Product innovation and the business cycle
AbstractMicreconomic data show two important facts about new products. First, some products are more important than others. Second, it takes them years to penetrate the market significantly. The authors' calibrated model with these features overpredicts the autocovariance of U.S. GNP at long lags but underpredicts it at short lags. The latter is not surprising since the model leaves out other obvious high-frequency shocks. The puzzle is why the U.S. GNP data do not show stronger autocorrelation at higher lags. A surprising finding is that, while the speed of diffusion has huge level effects, it plays a minor role in shaping the business cycle. Copyright 1997 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.
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Bibliographic InfoPaper provided by Board of Governors of the Federal Reserve System (U.S.) in its series Finance and Economics Discussion Series with number 95-46.
Date of creation: 1995
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