Testing for Smooth Transition Nonlinearity in the Presence of Outliers

Regime-switching models, like the smooth transition autoregressive [STAR] model, are typically applied to time series of moderate length. Hence, the nonlinear features that these models intend to describe may be reflected in only a few observations. Conversely, neglected outliers in a linear time se...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Journal of Business & Economic Statistics. - American Statistical Association, 1983. - 17(1999), 2, Seite 217-235
1. Verfasser: Van Dijk, Dick (VerfasserIn)
Weitere Verfasser: Franses, Philip Hans, Lucas, André
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 1999
Zugriff auf das übergeordnete Werk:Journal of Business & Economic Statistics
Schlagworte:Asymptotic theory Influence function Lagrange multiplier-type tests Monte Carlo simulation Robust estimation Mathematics Philosophy Information science Economics Social sciences
LEADER 01000caa a22002652 4500
001 JST045334293
003 DE-627
005 20240621104759.0
007 cr uuu---uuuuu
008 150324s1999 xx |||||o 00| ||eng c
024 7 |a 10.2307/1392477  |2 doi 
035 |a (DE-627)JST045334293 
035 |a (JST)1392477 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Van Dijk, Dick  |e verfasserin  |4 aut 
245 1 0 |a Testing for Smooth Transition Nonlinearity in the Presence of Outliers 
264 1 |c 1999 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
520 |a Regime-switching models, like the smooth transition autoregressive [STAR] model, are typically applied to time series of moderate length. Hence, the nonlinear features that these models intend to describe may be reflected in only a few observations. Conversely, neglected outliers in a linear time series of moderate length may incorrectly suggest STAR (or other) type(s of) nonlinearity. In this article we propose outlier robust tests for STAR-type nonlinearity. These tests are designed such that they have a better level and power behavior than standard nonrobust tests in situations with outliers. We formally derive local and global robustness properties of the new tests. Extensive Monte Carlo simulations show the practical usefulness of the robust tests. An application to several quarterly industrial production indexes illustrates that apparent nonlinearity in time series sometimes seems due to only a few outliers. 
540 |a Copyright 1999 American Statistical Association 
650 4 |a Asymptotic theory 
650 4 |a Influence function 
650 4 |a Lagrange multiplier-type tests 
650 4 |a Monte Carlo simulation 
650 4 |a Robust estimation 
650 4 |a Mathematics  |x Applied mathematics  |x Statistics  |x Applied statistics  |x Inferential statistics  |x Statistical estimation  |x Estimation methods  |x Estimators 
650 4 |a Mathematics  |x Applied mathematics  |x Statistics  |x Applied statistics  |x Descriptive statistics  |x Statistical distributions  |x Outliers 
650 4 |a Philosophy  |x Logic  |x Logical topics  |x Formal logic  |x Mathematical logic  |x Denotational semantics  |x Mathematical linearity  |x Nonlinearity 
650 4 |a Information science  |x Data products  |x Datasets  |x Time series 
650 4 |a Mathematics  |x Applied mathematics  |x Statistics  |x Applied statistics  |x Statistical models  |x Time series models 
650 4 |a Economics  |x Economic disciplines  |x Applied economics  |x Economic modeling  |x Economic models 
650 4 |a Mathematics  |x Applied mathematics  |x Statistics  |x P values 
650 4 |a Philosophy  |x Applied philosophy  |x Philosophy of science  |x Scientific method  |x Hypothesis testing  |x Null hypothesis 
650 4 |a Mathematics  |x Applied mathematics  |x Statistics  |x Statistical theories 
650 4 |a Social sciences  |x Development studies  |x Development economics  |x Economic development  |x Economic transitions 
655 4 |a research-article 
700 1 |a Franses, Philip Hans  |e verfasserin  |4 aut 
700 1 |a Lucas, André  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Journal of Business & Economic Statistics  |d American Statistical Association, 1983  |g 17(1999), 2, Seite 217-235  |w (DE-627)327084073  |w (DE-600)2043744-4  |x 07350015  |7 nnns 
773 1 8 |g volume:17  |g year:1999  |g number:2  |g pages:217-235 
856 4 0 |u https://www.jstor.org/stable/1392477  |3 Volltext 
856 4 0 |u https://doi.org/10.2307/1392477  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_JST 
912 |a GBV_ILN_11 
912 |a GBV_ILN_20 
912 |a GBV_ILN_22 
912 |a GBV_ILN_23 
912 |a GBV_ILN_24 
912 |a GBV_ILN_26 
912 |a GBV_ILN_31 
912 |a GBV_ILN_39 
912 |a GBV_ILN_40 
912 |a GBV_ILN_60 
912 |a GBV_ILN_62 
912 |a GBV_ILN_63 
912 |a GBV_ILN_65 
912 |a GBV_ILN_69 
912 |a GBV_ILN_70 
912 |a GBV_ILN_90 
912 |a GBV_ILN_100 
912 |a GBV_ILN_101 
912 |a GBV_ILN_110 
912 |a GBV_ILN_120 
912 |a GBV_ILN_187 
912 |a GBV_ILN_224 
912 |a GBV_ILN_285 
912 |a GBV_ILN_370 
912 |a GBV_ILN_374 
912 |a GBV_ILN_647 
912 |a GBV_ILN_702 
912 |a GBV_ILN_2001 
912 |a GBV_ILN_2003 
912 |a GBV_ILN_2005 
912 |a GBV_ILN_2006 
912 |a GBV_ILN_2007 
912 |a GBV_ILN_2008 
912 |a GBV_ILN_2009 
912 |a GBV_ILN_2010 
912 |a GBV_ILN_2011 
912 |a GBV_ILN_2014 
912 |a GBV_ILN_2015 
912 |a GBV_ILN_2018 
912 |a GBV_ILN_2020 
912 |a GBV_ILN_2021 
912 |a GBV_ILN_2026 
912 |a GBV_ILN_2027 
912 |a GBV_ILN_2034 
912 |a GBV_ILN_2044 
912 |a GBV_ILN_2050 
912 |a GBV_ILN_2056 
912 |a GBV_ILN_2057 
912 |a GBV_ILN_2061 
912 |a GBV_ILN_2088 
912 |a GBV_ILN_2093 
912 |a GBV_ILN_2107 
912 |a GBV_ILN_2110 
912 |a GBV_ILN_2111 
912 |a GBV_ILN_2129 
912 |a GBV_ILN_2190 
912 |a GBV_ILN_2336 
912 |a GBV_ILN_2507 
912 |a GBV_ILN_2548 
912 |a GBV_ILN_2938 
912 |a GBV_ILN_2941 
912 |a GBV_ILN_2947 
912 |a GBV_ILN_2949 
912 |a GBV_ILN_2950 
912 |a GBV_ILN_4012 
912 |a GBV_ILN_4035 
912 |a GBV_ILN_4037 
912 |a GBV_ILN_4046 
912 |a GBV_ILN_4112 
912 |a GBV_ILN_4125 
912 |a GBV_ILN_4126 
912 |a GBV_ILN_4242 
912 |a GBV_ILN_4251 
912 |a GBV_ILN_4305 
912 |a GBV_ILN_4306 
912 |a GBV_ILN_4307 
912 |a GBV_ILN_4313 
912 |a GBV_ILN_4322 
912 |a GBV_ILN_4323 
912 |a GBV_ILN_4324 
912 |a GBV_ILN_4325 
912 |a GBV_ILN_4335 
912 |a GBV_ILN_4346 
912 |a GBV_ILN_4392 
912 |a GBV_ILN_4393 
912 |a GBV_ILN_4700 
951 |a AR 
952 |d 17  |j 1999  |e 2  |h 217-235