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Investment And Capital Market Imperfections: A Switching Regression Approach Using U.S. Firm Panel Data

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  • Xiaoqiang Hu
  • Fabio Schiantarelli

Abstract

In this paper we develop a switching regression model of investment, in which the probability of a firm facing a high premium on external finance is endogenously determined. This approach allows one to address the potential problem of static and dynamic misclassification encountered where firms are sorted using a criteria chosen a priori. We use U.S. firm level data to analyze the effects of variables that capture each firm's credit worthiness, asymmetric information, and agency problems on the probability of being in the high- or low-premium regime. The role of macroeconomic conditions and monetary policy is also discussed. © 1998 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology

Suggested Citation

  • Xiaoqiang Hu & Fabio Schiantarelli, 1998. "Investment And Capital Market Imperfections: A Switching Regression Approach Using U.S. Firm Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 466-479, August.
  • Handle: RePEc:tpr:restat:v:80:y:1998:i:3:p:466-479
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