On the estimation of Western Countries' tourism demand for Thailand taking into account of possible structural changes leading to a better prediction
© Springer International Publishing Switzerland 2015. Forecasting tourist arrivals is an essential feature in tourism demand prediction. This paper applies Self Exciting Threshold Autoregressive (SETAR) models. The SETAR takes into account of possible structural changes leading to a better predictio...
Saved in:
Main Authors: | Nyo Min, Songsak Sriboonchitta |
---|---|
Format: | Conference Proceeding |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84958542154&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44471 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
On the estimation of Western Countries' tourism demand for Thailand taking into account of possible structural changes leading to a better prediction
by: Nyo Min, et al.
Published: (2018) -
Identification of the connection between tourism demand and economic growth in ASEAN-3
by: Satawat Wannapan, et al.
Published: (2018) -
Dynamic panel estimator for Thailand's tourism demand
by: Supanika Leurcharusmee, et al.
Published: (2018) -
Dynamic panel estimator for Thailand's tourism demand
by: Leurcharusmee S., et al.
Published: (2017) -
Nonlinear estimations of tourist arrivals to Thailand: forecasting tourist arrivals by using SETAR models and STAR models
by: Nyo Min, et al.
Published: (2018)