Social learning models of investment provide an interesting alternative explanation for sudden changes in investment behaviour. Caplin and Leahy (1994) develop a model of social learning in which agents learn about the true state of demand from the investment suspension decisions of other agents. In this paper, I test the main predictions of their model using a unique database of investment projects undertaken by semiconductor plants. I find that firms that are installing a significant new technology appear to be influenced by social learning because they are more likely to suspend their investment project when other suspensions occur. A 1% increase in the number of other suspensions increases the probability of suspension by an average new technology plant by 3.6%. Others’ suspensions also significantly affects plants that use conventional technology, but it is a negative effect. The conventional technology plants are less likely to suspend their investment project when other firms suspend, which suggests that their payoffs are strategic substitutes as in a “war of attrition” game.
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Paper provided by EconWPA in its series Macroeconomics with number
0409021.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Ricardo J. Caballero & Eduardo M.R.A. Engel, 1991.
"Dynamic (S,s) Economies,"
NBER Working Papers
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Caballero, Ricardo J., 1999.
"Aggregate investment,"
Handbook of Macroeconomics,
in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 12, pages 813-862
Elsevier.
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