[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/sek/iacpro/9210943.html
   My bibliography  Save this paper

Production Factor Coefficients Transition through the Lens of State Space Model

Author

Listed:
  • Kanokwan Chancharoenchai

    (Kasetsart University)

  • Wuthiya Saraithong

    (Kasetsart University)

Abstract
Economic growth can be considered as an important element of countries? development process. For developing countries, like Thailand, to ensure the continuous growth of the economy, the Thai government usually implements various policies to stimulate economic growth. This study, therefore, investigates explanatory variables for economic growth in Thailand from 2005 to 2017 with the total of 52 quarters. The investigation is estimated throughout the production function with non-linear Cobb-Douglas equation. The relevant factors included in the estimation cover three traditional means of production and implicit effects with the internal and external instabilities. According to empirical results, the AR(|2|) equation with the inclusion of seven significant variables presents the most suitable model. However, this is not the case of the recursive coefficient model from the state space model that allows the transition of coefficients. With the powerful state space model, it provides the productivity or effect of each significant factor more in detail. The state coefficients are estimated based on the AR(|2|) with the exception of the one previous GDP and the 2009 world financial crisis dummy. The findings shed the light that those factors seem to be stable through time since the occurrence of the world financial crisis together with the political situation in Thailand. These two events could lower the confidence in the Thai economy. Moreover, state coefficients highlight the sluggish rate of machinery replacement and the low level of technology of capital goods imported from abroad. The Thai government should apply the proactive policies via taxation and specific credit policy to improve technological advance, for instance. Another interesting evidence is the issue of trade openness which shows the negative transition effect along the sample period. This could be explained by the loss of price competitiveness to imported goods, especially under the widespread implementation of free trade agreement.

Suggested Citation

  • Kanokwan Chancharoenchai & Wuthiya Saraithong, 2019. "Production Factor Coefficients Transition through the Lens of State Space Model," Proceedings of International Academic Conferences 9210943, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:iacpro:9210943
    as

    Download full text from publisher

    File URL: https://iises.net/proceedings/iises-international-academic-conference-prague/table-of-content/detail?cid=92&iid=003&rid=10943
    File Function: First version, 2019
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    autoregressive model; economic growth; state space model; Thailand;
    All these keywords.

    JEL classification:

    • O00 - Economic Development, Innovation, Technological Change, and Growth - - General - - - General
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sek:iacpro:9210943. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klara Cermakova (email available below). General contact details of provider: https://iises.net/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.