Linear programming-based estimators in nonnegative autoregression
This note studies robust estimation of the autoregressive (AR) parameter in a nonlinear, nonnegative AR model. It is shown that a linear programming estimator (LPE), considered by Nielsen and Shephard (2003) among others, remains consistent under severe model misspecification. Consequently, the LPE...
Saved in:
主要作者: | PREVE, Daniel P. A. |
---|---|
格式: | text |
語言: | English |
出版: |
Institutional Knowledge at Singapore Management University
2015
|
主題: | |
在線閱讀: | https://ink.library.smu.edu.sg/soe_research/2330 https://ink.library.smu.edu.sg/context/soe_research/article/3329/viewcontent/AMES2014_330.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Singapore Management University |
語言: | English |
相似書籍
-
Forecasting realized volatility using a nonnegative semiparametric model
由: ERIKSSON, Anders, et al.
出版: (2019) -
Modified QML Estimation of Spatial Autoregressive Models with Unknown Heteroskedasticity and Nonnormality
由: LIU, Shew Fan, et al.
出版: (2014) -
Profile quasi-maximum likelihood estimation of partially linear spatial autoregressive models
由: SU, Liangjun, et al.
出版: (2010) -
Modified QML Estimation of Spatial Autoregressive Models with Unknown Heteroskedasticity and Nonnormality
由: LIU, Shew Fan, et al.
出版: (2015) -
Forecasting Realized Volatility Using a Nonnegative Semiparametric Model
由: Preve, D., et al.
出版: (2009)