Aggregate Money Demand Functions: Empirical Applications in Cointegrated Systems / Edition 1

by Dennis L. Hoffman, Robert H. Rasche

Overview

The econometric consequences of nonstationary data have wide ranging im­ plications for empirical research in economics. Specifically, these issues have implications for the study of empirical relations such as a money demand func­ tion that links macroeconomic aggregates: real money balances, real income and a nominal interest rate. Traditional monetary theory predicts that these nonsta­ tionary series form a cointegrating relation and accordingly, that the dynamics of a vector process comprised of these variables generates distinct patterns. Re­ cent econometric developments designed to cope with nonstationarities have changed the course of empirical research in the area, but many fundamental challenges, for example the issue of identification, remain. This book represents the efforts undertaken by the authors in recent years in an effort to determine the consequences that nonstationarity has for the study of aggregate money demand relations. We have brought together an empirical methodology that we find useful in conducting empirical research. Some of the work was undertaken during the authors' sabbatical periods and we wish to acknowledge the generous support of Arizona State University and Michigan State University respectively. Professor Hoffman wishes to acknowledge the support of the Fulbright-Hays Foundation that supported sabbattical research in Europe and separate support of the Council of 100 Summer Research Program at Arizona State University.

Product Details

ISBN-13:	9780792397045
Publisher:	Springer Netherlands
Publication date:	04/30/1996
Edition description:	1996
Pages:	266
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

1. Background. 2. The Development and Failures of the Empirical Literature on the Demand for Money. 3. Identification, Estimation, and Inference in Cointegrated Systems. 4. A Framework for Structural and Dynamic Analysis in Cointegrated Systems. 5. A Prototype Economic Model Characterized by Cointegration. 6. Analysis of Three Variable VECM Models Including Demand Functions for Real Balances. 7. Higher Dimensional VECM Models with Long-Run Money Demand Functions. 8. Combining Term Structure and Fisher Effects. Appendix. Bibliography. Author Index. Subject Index.

Editorial Reviews

Uses the tools of modern time series analysis to determine the role of an aggregate demand for real balances in the generation of macroeconomic time series. Undertakes the identification and estimation of the demand function in a multivariate, rather than the usual single-equation, framework. Discusses the development and failures of the empirical literature; identification, estimation, and inference; a framework for structural and dynamic analysis; a prototype economic model characterized by co- integration; three-variable and higher dimensional VECM models; and combining term structure and Fisher effects. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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