§ 瀏覽學位論文書目資料
系統識別號 U0002-0202202312551500
DOI 10.6846/TKU.2023.00005
論文名稱(中文) 富人消費與物價水平非線性動態因果關係三議題探討
論文名稱(英文) Study on Three Issues of the Nonlinear Dynamic Causal Relation between the Rich's Consumption and the Price Level
第三語言論文名稱
校院名稱 淡江大學
系所名稱(中文) 財務金融學系博士班
系所名稱(英文) Department of Banking and Finance
外國學位學校名稱
外國學位學院名稱
外國學位研究所名稱
學年度 111
學期 1
出版年 112
研究生(中文) 李靜慧
研究生(英文) Ching-Hui Li
學號 804530037
學位類別 博士
語言別 英文
第二語言別
口試日期 2023-01-07
論文頁數 49頁
口試委員 指導教授 - 聶建中(niehcc@mail.tku.edu.tw)
口試委員 - 謝劍平
口試委員 - 陳達新
口試委員 - 謝志柔
口試委員 - 林忠山
口試委員 - 莊孟翰
口試委員 - 葉佳燕
關鍵字(中) 紅酒指數
奢侈品指數
物價
門檻誤差修正模型
關鍵字(英) Red Wine Index
Luxury Goods Index
Price Level
Threshold Error Correction Model
第三語言關鍵字
學科別分類
中文摘要
本研究採用由 Enders and Granger(1998)以及 Enders and Siklos(2001)闡述的 TAR 和 M-TAR 的非線性框架,研究了三個有趣的主題:(1)研究兩個富人指數之間的非線性動態關係,優質葡萄酒指數和奢侈品指數;(2)探究精品酒指數與價格水平的因果關係;(3)調查奢侈品指數與價格水平的動態交互作用。三個模型規範的結果是(1)WIN50 到 SPGL 的 TAR/T,以及 SPGL 到 WIN50 的反之 MTAR/T;(2)SPGL 到 USCP 和 USCP 到 SPGL4 的 TAR/T 和 M-TAR/T;(3)SPGL 和 USCP 的合適模型是兩個方向的 TAR/T。本研究針對三個問題的實證結果分別描述如下。首先,富人消費的兩個代理指標被發現是相互影響的。但這種雙向因果關係只有在長期下行兩個代理指標的背離相距不遠時才會出現。精品酒指數與價格水平的非線性因果關係表現出WIN50與USCP雙向無短期因果關係的相同現象,但長期來看,USCP出現單向因果關係到下區WIN50。標普全球奢侈品指數與美國CPI之間的非線性因果關係僅表明標普全球奢侈品指數與美國CPI存在短期單向因果關係,從長期來看,標普全球奢侈品指數與美國CPI之間存在單向因果關係。指數與美國CPI互為因果關係,美國CPI與標普全球奢侈品指數因果關係的上部區域除外。
英文摘要
Employing the nonlinear frameworks of TAR and M-TAR elaborated by Enders and Granger (1998) and Enders and Siklos (2001), three interesting topics are examined: (1) investigate the nonlinear dynamic relationships between the two rich’s indices, the fine wine index and the luxury index; (2) to explore the causal relationship between the fine wine index and the price level; (3) to investigate the dynamic interactions of the luxury index and the price level. The results of three model specifications are (1) TAR/T for WIN50 to SPGL and, and conversely MTAR/T for SPGL to WIN50; (2) TAR/T and M-TAR/T for SPGL to USCP and USCP to SPGL4; and (3) the suitable models for SPGL and USCP are TAR/T for both direction. The empirical results for the three issues investigated in this research are described separately as follows. First, the two proxy indices for the rich’s consumption are found to be mutually caused by each other. But this bidirectional causal relation only appears during the long-run in the lower region when the two proxy indices deviate from each other are not far apart. The nonlinear causal relations between the pair of the fine wine index and the price level shows the same phenomenon of no short-run causality between WIN50 and USCP bi-directionally, however, during the long-run, a unidirectional causal relation appears from the USCP to WIN50 in the lower region. The nonlinear causal relation between the S&P global luxury index and the CPI of the US shows only a short-run uni-direction causal relation from the S&P global luxury index to the CPI of the US, for the long-run, the S&P global luxury index and the CPI of the US mutually cause each other with the exception for the upper region of the causality from the CPI of the US to the S&P global luxury index.
第三語言摘要
論文目次
Table of Contents
                                                      Page
Acknowledgements ------------------------------------ i
Chinese Abstract ------------------------------------ ii
English Abstract ------------------------------------ iv
Table of Contents ----------------------------------- v
List of Tables -------------------------------------- vii
List of Figures -------------------------------------viii


CONTENTS                                                  Page
I. Introduction.............................................1
 1.1  Background and Motivation.............................1
 1.2  Purpose...............................................6
II. Literature Review.......................................8
 2.1  The rich’s consumption................................8
 2.2  The consumption products of the rich..................9
   2.2.1 Fine Wine Related Literature.......................10
   2.2.2 Luxury goods Related Literature....................15
 2.3  The rich’s consumption and price level................17
  2.3.1 Wine index and price level..........................18
  2.3.2 Luxury goods and price level........................20
III. Methodology............................................22
 3.1 Threshold Cointegration Tests..........................22
 3.2 TECM Granger-Causality tests...........................24
IV. Data and Empirical Results..............................25
 4.1  The data..............................................25
 4.2  Threshold Cointegration Tests.........................32
 4.3  M-TECM Nonlinear Granger-Causality Tests..............37
V. Conclusions and Suggestions..............................42
VI. Reference...............................................45

List of Tables                                                                 Page
Table 4.1 Descriptive statistics for three variables investigated...............27
Table 4.2 Model specification for the nonlinear cointegration relation between wine and luxury......................................................................33
Table 4.3 Model specification for the nonlinear cointegration relation between wine and price.......................................................................34
Table 4.4 Model specification for the nonlinear cointegration relation between luxury and price.......................................................................35
Table 4.5 Causal relation between S&P global luxury index and fine wine 50 index 	................................................................................37
Table 4.6 Causal relation between price level and fine wine 50 index............39
Table 4.7 Causal relation between price level and S&P global luxury goods index.40

List of Figures                                               Page
Figure 4.1 Trend of fine wine index (WIN50).....................28
Figure 4.2 Trend of S&P global luxury goods index (SPGL)........29
Figure 4.3 Trend of the CPI of US (USCP)........................29
Figure 4.4 Trends of WIN50 and SPGL.............................30
Figure 4.5 Trends of WIN50 and USCP.............................30
Figure 4.6 Trends of SPGL and USCP..............................31
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