Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/57540
Title: Generalized information theoretical approach to panel regression kink model
Authors: Phachongchit Tibprasorn
Paravee Maneejuk
Songsak Sriboochitta
Keywords: Mathematics
Issue Date: 1-Jan-2017
Abstract: © 2017 by the Mathematical Association of Thailand. All rights reserved. This study aims at exploring the use of generalized maximum entropy for estimating the unknown parameters in macroeconomic panel data models with two special concerns. First, the macroeconomic empirical panel studies usually face to a problem of data limitations, where the exiting estimation methods are often hard to get a significant results. Hence, we consider the GME estimator as one of the effective solutions for this problem. Second, there is often a discontinuity found in a relationship between explanatory and response variables in the macroeconomic studies. Therefore, in this study, the panel regression kink design based on the GME estimator is proposed for examining a discontinuous slope of the relationship between variables especially when the data is limited. The performance of the proposed method is evaluated through simulation study and later in the empirical analysis of the foreign direct investment. Both experiments showed a satisfiable performance of the model as well as the considered estimation technique.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039719677&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/57540
ISSN: 16860209
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.