The Estimation of Money Demand Function in Taiwan- An Application of Genetic Programming.

碩士 === 真理大學 === 財經研究所 === 95 === Relative variables of shopping time model proposed by Hueng (1999) are quoted in Genetic Programming (GP) to find out a better model of Money Demand. Comparing with Ordinary Least Squares (OLS) regression model and nonlinear Smooth Transition Error Correction Model...

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Bibliographic Details
Main Authors: Yi Lang Chou., 周義朗
Other Authors: Tzu-Wen Kuo PH, D.
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/81311632094040165606
Description
Summary:碩士 === 真理大學 === 財經研究所 === 95 === Relative variables of shopping time model proposed by Hueng (1999) are quoted in Genetic Programming (GP) to find out a better model of Money Demand. Comparing with Ordinary Least Squares (OLS) regression model and nonlinear Smooth Transition Error Correction Model, Genetic Programming outperforms the two models. In the meantime, GP estimation model is also shown as a Non-linear form.