IT investment and Hicks' composite-good theorem
Subtitle: the U.S. experience
By: Jaime Marquez and Shing-Yi Wang.
Series: International finance discussion papers ;; no. 767; International finance discussion papers (Online) ;; no. 767.
Publisher: Federal Reserve Board
Published: 2003
Place of publication: Washington, D.C
Language: eng
Format: Electronic resource
Subjects: Wang, Shing-Yi.
Description: "We study whether aggregation residuals in U.S. private investment in information technology (IT) exhibit a predictable pattern that is consistent with Hicks' composite-good theorem and that may be used for forecasting.  To determine whether one can extract such a pattern, we apply the general-to-specific strategy developed by Krolzig and Hendry (2001).  This strategy combines ordinary least squares with a computer-automated algorithm that selects a specification based on coefficients' statistical significance, residual properties, and parameter constancy.  Then, we derive the testable implications from Hicks' theorem and evaluate them with econometric formulations; we find qualified support for these implications.  Having obtained these formulations, we evaluate their ex-post predictive accuracy and compare it to that of an autoregressive model.  The key finding is that ignoring movement in relative prices results in a loss of information for predicting aggregation residuals"--Federal Reserve Board web site.
Notes: Also available in print.
Includes bibliographical references.
Title from PDF file as viewed on 9/15/2004.
System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.