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題名 固定效果動態追蹤資料模型之估計與推論-二階差分動差法
其他題名 Gaussian Inference in Dynamic Panels with Fixed Effects Based on Second Differencing
作者 陳致綱; 郭炳伸
Chen, Jhih-Gang ;Kuo, Biing-Shen
貢獻者 國貿系
關鍵詞 追蹤資料單根檢定 ; 動差條件 ; 弱工具變數
Panel unit root test ; Moment conditions ; Weak instruments
日期 2011-12
上傳時間 10-Dec-2013 17:10:43 (UTC+8)
摘要 本文提出一種簡單的二階差分估計式來估計具固定效果的動態追蹤資料模型 (dynamic panels with fixed effects),而此方法可避免傳統一般動差法在近單根環境下面臨的弱工具變數問題 (weak instrument problem)。特別的是,不論序列為恆定或具單根,隨著橫斷面規模或/和時間序列長度趨近於無窮大,該估計式皆可收斂至常態分配。相較於 Han and Phillips(2010)之一階差分估計式,當序列為正自我相關,且序列長度適度地長,二階差分估計式具有較小的漸近變異數;受惠於此,據以發展的單根檢定擁有較佳的檢力。當模型存在個別趨勢項時,本文提出一種雙重二階差分估計式;同樣地,其於恆定與單根的環境下皆具漸近常態分配。值得注意的是,利用該估計式所建構的單根檢定相較於Han and Phillips(2010),雖然型一誤差略高,但在檢力上卻具有顯著的優勢。 This paper develops a new approach to estimation in dynamic panel data models with fixed effects and incidental trends, based on second differencing. The proposed estimation method is immune to the weak instrument problem that is known to arise when the conventional GMM is applied to the cases where the autoregressive coefficient (ρ) is close to unity. Similar to the first-difference estimator introduced by Han and Phillips (2010, pp. 119-151), the new estimator has standard Gaussian asymptotics for all values of ρ ∈ (-1, 1) in both panel and time series cases. Given its smaller asymptotic variance when the series exhibit positive or moderate positive autocorrelation, the panel unit root test built on the second-difference estimator is more powerful than that built on Han and Phillips` counterpart.
關聯 經濟論文,39(4), 401-438
資料類型 article
dc.contributor 國貿系en_US
dc.creator (作者) 陳致綱; 郭炳伸zh_TW
dc.creator (作者) Chen, Jhih-Gang ;Kuo, Biing-Shenen_US
dc.date (日期) 2011-12en_US
dc.date.accessioned 10-Dec-2013 17:10:43 (UTC+8)-
dc.date.available 10-Dec-2013 17:10:43 (UTC+8)-
dc.date.issued (上傳時間) 10-Dec-2013 17:10:43 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/62340-
dc.description.abstract (摘要) 本文提出一種簡單的二階差分估計式來估計具固定效果的動態追蹤資料模型 (dynamic panels with fixed effects),而此方法可避免傳統一般動差法在近單根環境下面臨的弱工具變數問題 (weak instrument problem)。特別的是,不論序列為恆定或具單根,隨著橫斷面規模或/和時間序列長度趨近於無窮大,該估計式皆可收斂至常態分配。相較於 Han and Phillips(2010)之一階差分估計式,當序列為正自我相關,且序列長度適度地長,二階差分估計式具有較小的漸近變異數;受惠於此,據以發展的單根檢定擁有較佳的檢力。當模型存在個別趨勢項時,本文提出一種雙重二階差分估計式;同樣地,其於恆定與單根的環境下皆具漸近常態分配。值得注意的是,利用該估計式所建構的單根檢定相較於Han and Phillips(2010),雖然型一誤差略高,但在檢力上卻具有顯著的優勢。 This paper develops a new approach to estimation in dynamic panel data models with fixed effects and incidental trends, based on second differencing. The proposed estimation method is immune to the weak instrument problem that is known to arise when the conventional GMM is applied to the cases where the autoregressive coefficient (ρ) is close to unity. Similar to the first-difference estimator introduced by Han and Phillips (2010, pp. 119-151), the new estimator has standard Gaussian asymptotics for all values of ρ ∈ (-1, 1) in both panel and time series cases. Given its smaller asymptotic variance when the series exhibit positive or moderate positive autocorrelation, the panel unit root test built on the second-difference estimator is more powerful than that built on Han and Phillips` counterpart.-
dc.format.extent 3162257 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) 經濟論文,39(4), 401-438en_US
dc.subject (關鍵詞) 追蹤資料單根檢定 ; 動差條件 ; 弱工具變數en_US
dc.subject (關鍵詞) Panel unit root test ; Moment conditions ; Weak instrumentsen_US
dc.title (題名) 固定效果動態追蹤資料模型之估計與推論-二階差分動差法zh_TW
dc.title.alternative (其他題名) Gaussian Inference in Dynamic Panels with Fixed Effects Based on Second Differencing-
dc.type (資料類型) articleen