Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/58549
Title: Markov-Switching ARDL Modeling of Parboiled Rice Import Demand from Thailand
Authors: Roengchai Tansuchat
Woraphon Yamaka
Keywords: Computer Science
Mathematics
Issue Date: 1-Jan-2018
Abstract: © 2018, Springer International Publishing AG, part of Springer Nature. In this paper, we develop a Markov Switching autoregressive distributed lag (MS-ARDL) model in which short- and long-run nonlinearities are introduced. The model is used to investigate the import demand of Nigeria for parboiled rice from Thailand. We demonstrate that the model is estimable by Maximum likelihood estimator and then a reliable long-run inference can be achieved by bound testing regardless of the integration orders of the variables. Furthermore, we first examine the accuracy of the model using a simulation study, and then the salient features of the model are employed to investigate the Thai parboiled rice demand from Nigeria.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85043991914&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/58549
ISSN: 16113349
03029743
Appears in Collections:CMUL: Journal Articles

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