| 研究生: |
李婉璘 Li, Wan Lin |
|---|---|
| 論文名稱: |
匯率轉嫁效果-動態追蹤資料的分量迴歸分析 Exchange rate pass-through into inflation: a dynamic panel Quantile analysis |
| 指導教授: | 林馨怡 |
| 學位類別: |
碩士
Master |
| 系所名稱: |
社會科學學院 - 經濟學系 Department of Economics |
| 論文出版年: | 2012 |
| 畢業學年度: | 100 |
| 語文別: | 英文 |
| 論文頁數: | 62 |
| 中文關鍵詞: | 匯率轉嫁效果 、通貨膨脹 、分量迴歸 、動態追蹤資料 |
| 外文關鍵詞: | Exchange rate pass-through, Inflation, Quantile regression, Dynamic panel data |
| 相關次數: | 點閱:363 下載:0 |
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開放經濟中,匯率可以透過競爭效果及進口型的通貨膨脹抬升價格,或藉由資產負債效果造成通貨緊縮。本文依循 Carranza et al. (2009) 的實證模型,控制美元化程度的影響,並使用Lin (2010) 的動態分量迴歸方法,針對1974Q1-2010Q4期間80個國家,檢驗不同通貨膨脹水準下的匯率轉嫁效果。總體而言,通膨愈高的時候,匯率貶值的擴張效果愈強;但當通膨降低,其強度也隨之減弱。此結果在考慮其他解釋變數或不同貶值情形後仍維持穩健。而當進一步檢視不同國家或期間的匯率轉嫁效果,匯率對通貨膨脹的正向效果,在中低所得國家中普遍較強,但在1995年後減弱,甚至轉為負向。Taylor(2000)的假說,得以在本文大部分的實證結果中證實。
In an open economy, exchange rate could either increase prices by competitiveness effect and imported inflation, or be disinflationary through the balance-sheet effect. Controlling for the impact induced by the degree of dollarization, I follow the empirical model of Carranza et al. (2009) with a wide panel of 80 countries over 1974Q1-2010Q4. The exchange rate pass-through is investigated at various inflation levels in a dynamic panel quantile analysis suggested by Lin (2010). In general, exchange rate depreciation is more inflationary the higher inflation levels, but the magnitude of pass-through is reduced as inflation become lower. Also, the results are robust with respect to add other explanatory variables or take the depreciation cases into account. Furthermore, to investigate the pass-through across countries or periods, the positive impact of exchange rate on inflation is greater in middle- and low-income countries, but declines and even becomes negative after 1995. The hypothesis in Taylor (2000) is thus confirmed in most part of our empirical results.
1 Introduction 1
2 Literature Review 3
3 Econometric Methodology 14
3.1 Dynamic panel data model ................... 14
3.1.1 Inconsistency of estimation ................ 14
3.1.2 Anderson-Hsiao estimator...................... 15
3.1.3 Arellano-Bond estimator........................ 15
3.2 Quantile regression for dynamic panel data model.... 16
3.2.1 Fitted value approach ........................... 16
4 Empirical Results 19
4.1 Data ............................................ 19
4.2 Dynamic panel results .......................... 24
4.2.1 The basic analysis ….......................... 24
4.2.2 The extensive analysis ........................ 27
4.3 Results with cases of depreciation controlled .... 31
4.4 Results with different country groups.............. 34
4.5 Results of different periods....................... 36
5 Conclusions 38
References 52
A List of countries 54
B Countries in specific income levels 55
C Data sources and description 56
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