STRUCTURAL CHANGE IN AR(1) MODELS
By Terence Tai-Leung Chong. Econometric Theory, 2001
89 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/6bde991ad1acb68369905ae30d28b5ea7618d552
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Pierre Perron
- Serena Ng
- Jushan Bai
- S. Ko
- Pulak Ghosh
- Haiqiang Chen
- Terence Tai-Leung Chong
- Liangjun Su
In Finance
- S. Ko
- Pulak Ghosh
- Pierre Perron
- Haiqiang Chen
- Jushan Bai
- Terence Tai-Leung Chong
- Serena Ng
- Mark W. Watson
In Statistics and Probability
Citations in the corpus
- Theory and Applications of TAR Model with Two Threshold Variables (2012, background): “INTRODUCTION A growing body of threshold models has been developed over the past two decades to capture the nonlinear movement of financial time series. Tong (1983) develops a threshold autoregressive (TAR) model and uses it to predict stock price movements. A number of new models have been proposed”
- Small Sample Properties of Forecasts from Autoregressive Models Under Structural Breaks (2003, unknown): “…by the recent work of Andrews (1993), Andrews and Ploberger (1996), Bai and Perron (1998, 2003), Banerjee, Lumsdaine and Stock (1992), Chu, Stinchcombe and White (1996), Chong (2001), Elliott and Muller (2002), Hansen (1992), Inclan and Tiao (1994) and Ploberger, Kramer and Kontrus (1989).”
- Dirichlet Process Hidden Markov Multiple Change-point Model (2015, methodology): “The Dirichlet process prior is first proposed by Ferguson (1973). He derives the Dirichlet process prior as the prior on the unknown probability measure space with respect to some measurable space (Ω,F).”
- Dealing with Structural Breaks (2005, background): “Chong (2001) considered an AR(1) model where the autoregressive coefficient takes a value less than one before some break date and value one after, or vice versa.”