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博碩士論文 etd-0810105-005050 詳細資訊
Title page for etd-0810105-005050
論文名稱
Title
在sPVAR 模型下驗證購買力平價說
Re-examine the Purchasing Power Parity in sPVAR Model
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
53
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2005-07-28
繳交日期
Date of Submission
2005-08-10
關鍵字
Keywords
購買力平價說、Panel共整合、Panel單根
Panel-Unit Root, Panel-Cointegration, Purchasing Power Parity
統計
Statistics
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The thesis/dissertation has been browsed 5756 times, has been downloaded 46 times.
中文摘要
在國際金融研究匯率理論可分為許多學派,購買力平價說為貨幣學派的匯率理論的重要假設之一,且為開放性總體模型的重要假設。雖然許多模型都是假設購買力平價說存在而成立的,然而購買力平價說是否成立在實證上仍是不確定的。因此檢定購買力平價說是重要的。
過去的統計分析過程都是在模型下就直接估計,因為模型假設所有變數為定態的。然而,若以非定態變數對其他非定態變數進行迴歸分析,則可能產生虛偽回歸的現象; 為避免發生虛偽回歸的問題,就發展出Unit Roots Test 和 Cointegration Test。所以在做回歸分析時,會先對變數做Unit Roots Test 和 Cointegration Test,之後才做估計。但是因為Unit Roots Test 和 Cointegration Test有檢定力不足的缺失;於是就有文章採用結合了時間數列和橫段面的Panel Data Model來研究,以提升檢定力,改善小樣本的限制,並發展出Panel-Unit Root Test 和 Panel-Cointegration Test 去避免虛偽回歸。但是這些Panel-Unit Root Test 和 Panel-Cointegration Test 都是在時間數列長和橫斷面長下推論出來的,而往往在實證上,要面臨最困難之一的問題是資料的取得,更何況是要包跨長時間和多單位的資料;而且這些Panel Data Model只能研究很長的時期,不能針對較短的時期做研究。

為了避免發生這些難題,Binder, Hsiao and Pesaran(2004)發展出在時間短和橫斷面長下的Panel Data Model,the Short Panel Vector Autoregressions (sPVAR)。本篇文章將重點放在sPVAR下的購買力平價說並檢驗開始歐元至今(1998-2004)這段期間30個國家的購買力平價說。
Abstract
The studies of exchange rate theory in international finance are divided into several schools. Purchasing Power Parity (PPP) is one important hypothesis in both the Monetary Exchange Rate theory and the main theory in the Open Macroeconomics Model. Although many models are found upon the existence of PPP, but it still has not been proved empirically. That is why it’s important to examine the existence of PPP.

In the past, the statistic analyzing processes are all made directly under the models since all variables have been assumed stationary. However, regressing two non-stationary variables may result in Spurious Regression. The Unit Roots Test and Cointegration Test are developed in order to avoid the problem of spurious regression. Therefore, Unit Roots Test and Cointegration Test should be applied to the variables before estimating during regression analyses. Concerning the power deficiency of Unit Roots Test and Cointegration Test, many researches have adopted the combination time-series and cross-section Panel Data Model in order to improve the power and limitation of small samples. The Panel-Unit Root Test and Panel-Cointegration Test have therefore been developed to avoid Spurious Regression. However, Panel-Unit Root Test and Panel-Cointegration Test are applied with long time-series and large cross-section. Nevertheless, obtaining the data has always been the toughest difficulty during empirical researches, let alone the need for long period and large unit data. These Panel Data Models can only be applied to studies for long period, but not to the short periods.

In order to avoid these problems; Binder, Hsiao and Pesaran (2004) have developed the Short Panel Vector Autoregressions (sPVAR) Model, a Panel Data Model developed with short time-series and large cross-section. Therefore, this paper will focus on Purchasing Power Parity under the sPVAR Model with the examination of PPP for the 30 countries since the introduction of Euro (1998 to 2004).
目次 Table of Contents
1 Introduction 1
2 Theoretical Framework and Empirical Literature Reviews 5
2.1 Theoretical Framework . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
2.1.1 Absolute PPP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
2.1.2 Relative PPP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.2 Empirical Literature Reviews . . . . . . . . . . . . . . . . . . . . . . . 8
2.2.1 Ordinary Least Square (OLS) . . . . . . . . . . . . . . . . . . . . . . 9
2.2.2 Time-Series Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
2.2.3 Panel Data Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
3 sPVAR Framework 13
3.1 Short Panel-VAR Model . . . . . . . . . . . . . . . . . . . . . . . . . . 13
3.2 Random Effects Speci‾cation . . . . . . . . . . . . . . . . . . . . . . 16
3.2.1 Random Effects Assumptions . . . . . . . . . . . . . . . . . . . . 16
3.2.2 Random Effects Model . . . . . . . . . . . . . . . . . . . . . . . . . 17
3.3 Fixed Effects Speci‾cation . . . . . . . . . . . . . . . . . . . . . . . . 19
3.3.1 Fixed Effects Assumptions . . . . . . . . . . . . . . . . . . . . . . .19
3.3.2 Fixed Effects Model . . . . . . . . . . . . . . . . . . . . . . . . . ….20
3.4 Unit Roots and Cointegration tests . . . . . . . . . . . . . . . . . . 22
3.4.1 Unit Roots test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
3.4.2 Cointegration test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
4 Empirical Results 26
4.1 Data Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26
4.2 Empirical Framework . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
4.3 Unit Roots Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
4.4 Cointegration Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
5 Conclusion and Suggestion 32
A Exchange rates and price ratios for 12 developed countries 34
References 40
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