Influential observations in cointegrated VAR models: Danish money demand 1973–2003

作者: Heino Bohn Nielsen

DOI: 10.1111/J.1368-423X.2007.00226.X

关键词:

摘要: Summary  This paper suggests a set of simple diagnostic tools for assessing the influence patch κ observations in cointegrated vector autoregressive model. The diagnostics are based on leave-κ-out principle (Bruce and Martin, 1989Journal Royal Statistical Society, Series B, 51, 363–424) is measured by likelihood displacement (Cook Weisberg, 1982Residuals Influence Regression. London: Chapman Hall). An application to Danish money demand 1973–2003 that real 1999 affected institutional factors related definition broad money, dynamic adjustment following international oil-price shock 1973 very influential long-run parameters.

参考文章(23)
Ruey S. Tsay, Ana Justel, Daniel Pena, DETECTION OF OUTLIER PATCHES IN AUTOREGRESSIVE TIME SERIES Research Papers in Economics. ,(2001)
Andrew G. Bruce, R. Douglas Martin, Leave‐K‐Out Diagnostics for Time Series Journal of the royal statistical society series b-methodological. ,vol. 51, pp. 363- 401 ,(1989) , 10.1111/J.2517-6161.1989.TB01435.X
James G. MacKinnon, Alfred A. Haug, Leo Michelis, Numerical distribution functions of likelihood ratio tests for cointegration Journal of Applied Econometrics. ,vol. 14, pp. 563- 577 ,(1999) , 10.1002/(SICI)1099-1255(199909/10)14:5<563::AID-JAE530>3.0.CO;2-R
Samprit Chatterjee, Ali S. Hadi, Influential Observations, High Leverage Points, and Outliers in Linear Regression Statistical Science. ,vol. 1, pp. 379- 393 ,(1986) , 10.1214/SS/1177013622
Philip Hans Franses, André Lucas, Andre Lucas, Outlier Detection in Cointegration Analysis Journal of Business & Economic Statistics. ,vol. 16, pp. 459- 468 ,(1998) , 10.2307/1392614
R. Dennis Cook, Detection of influential observation in linear regression Technometrics. ,vol. 42, pp. 65- 68 ,(2000) , 10.2307/1271434
Dong Wan Shin, Sahadeb Sarkar, Jong Hyup Lee, Unit root tests for time series with outliers Statistics & Probability Letters. ,vol. 30, pp. 189- 197 ,(1996) , 10.1016/0167-7152(95)00218-9
María Jesús Sánchez, Daniel Peña, The Identification of Multiple Outliers in ARIMA Models Communications in Statistics-theory and Methods. ,vol. 32, pp. 1265- 1287 ,(2003) , 10.1081/STA-120021331