Thesis (M.A. in National Security Affairs)--Naval Postgraduate School, Sept. 2004. / Thesis advisor(s): Donald Abenheim. Includes bibliographical references. Also available online.

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In this study, the possibility that money demand of one country might be affected by macroeconomic activities of other countries is investigated. We use the seemingly unrelated regression (SUR) technique, which takes into account all covariances between residuals of country-specific money demand equations. Efficiency of estimates using the SUR technique is enhanced because it uses information contained in the contemporaneous correlation of the error terms. The hypothesis of economic interdependence is tested. A proxy for foreign influence, deviation from interest rate parity (DIRP), is tested for significance in the money demand function.

Pang Po Hing. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1996. / Includes bibliographical references (leaves 67-71). / ABSTRACT --- p.i / ACKNOWLEDGMENT --- p.ii / LIST OF TABLES --- p.v / LIST OF FIGURES --- p.vi / Chapter CHAPTER 1: --- INTRODUCTION --- p.1 / Chapter CHAPTER 2: --- LITERATURE REVIEW --- p.4 / Chapter 2.1 --- Theoretical Review --- p.4 / Chapter 2.1.1 --- Properties of a Target Variable --- p.4 / Chapter 2.1.2 --- Money View --- p.4 / Chapter 2.1.3 --- Credit View --- p.5 / Chapter 2.2 --- Empirical Review --- p.8 / Chapter 2.2.1 --- Money View --- p.8 / Chapter 2.2.2 --- Credit View --- p.10 / Chapter CHAPTER 3: --- METHODOLOGY --- p.14 / Chapter 3.1 --- Vector Autoregression (VAR) --- p.14 / Chapter 3.1.1 --- Estimation of the Reduced Form VAR Model --- p.14 / Chapter 3.1.2 --- The Parameters Restrictions --- p.17 / Chapter 3.1.3 --- The Wald Statistics --- p.23 / Chapter 3.1.4 --- Impulse Response Functions --- p.24 / Chapter 3.1.5 --- Variance Decompositions --- p.25 / Chapter 3.1.6 --- Structural Decomposition --- p.26 / Chapter 3.2 --- Data Diagnoses --- p.27 / Chapter 3.2.1 --- Stationarity of the Time Series --- p.27 / Chapter 3.2.1.1 --- Definition of Stationarity --- p.27 / Chapter 3.2.1.2 --- The Unit Root Tests --- p.27 / Chapter 3.2.1.2a --- The Augmented Dickey and Fuller Tests --- p.27 / Chapter 3.2.1.2b --- The Phillips and Perron Tests --- p.29 / Chapter 3.2.1.2c --- Lag Lengths for the Unit Root Tests --- p.30 / Chapter 3.2.2 --- Selecting the Order of the VAR Model --- p.31 / Chapter 3.2.1 --- Tests for the Model Stability --- p.31 / Chapter 3.3 --- Estimation Procedures --- p.34 / Chapter CHAPTER 4: --- EMPIRICAL RESULTS --- p.36 / Chapter 4.1 --- Results of the Data Diagnoses --- p.36 / Chapter 4.1.1 --- Results of the Unit Root Tests --- p.36 / Chapter 4.1.2 --- Lag Length of the VAR Model --- p.38 / Chapter 4.1.3 --- Results of the Likelihood Ratio Tests --- p.38 / Chapter 4.2 --- Estimation of the Reduced Form VAR Model --- p.39 / Chapter 4.2.1 --- Results of the Parameters Estimates --- p.39 / Chapter 4.2.2 --- The Wald Statistics --- p.43 / Chapter 4.2.3 --- Variance Decompositions --- p.47 / Chapter 4.2.4 --- Impulse Response Functions --- p.54 / Chapter CHAPTER 5: --- IMPLICATIONS AND CONCLUSIONS --- p.62 / REFERENCES --- p.67 / APPENDICES --- p.72