IDEAS home Printed from https://ideas.repec.org/a/ags/pjemad/309286.html
   My bibliography  Save this article

Seasonal Integration and Co-Integration in the Prices of Key Aquaculture Species in the Philippines

Author

Listed:
  • Rodriguez, U-Primo E.
  • Garcia, Yolanda T.
  • Sumaya, Marjorie-Ann Dator

Abstract

This paper investigates the relationship between retail and wholesale prices of milkfish (Chanoschanos), tilapia (Tilapianilotica), and tiger prawn (Peneaus monodon) using techniques that recognize the role of seasonal factors for testing orders of integration of and the existence of cointegration between these prices. This paper finds that seasonality plays an important role in explaining movements in the prices of these farmed species. This is so because, with the exception of the wholesale price of tiger prawn, unit roots occur at all frequencies for all of the prices that were examined. None of the pairs of prices were found to be cointegrated at all frequencies. However, the retail and wholesale prices of tilapia were found to be cointegrated at zero and annual frequencies. These findings suggest that regressions on the levels of retail and wholesale prices of milkfish and tiger prawn could lead to spurious results. Hence, price formation based on level of prices for these two aquaculture species can send wrong signals to the market stakeholders, i.e., producers, middlemen, and consumers.

Suggested Citation

  • Rodriguez, U-Primo E. & Garcia, Yolanda T. & Sumaya, Marjorie-Ann Dator, 2017. "Seasonal Integration and Co-Integration in the Prices of Key Aquaculture Species in the Philippines," Journal of Economics, Management & Agricultural Development, Journal of Economics, Management & Agricultural Development (JEMAD), vol. 3(1), June.
    • Handle: RePEc:ags:pjemad:309286
    DOI: 10.22004/ag.econ.309286
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/309286/files/Seasonal%20Integration%20and%20Co-Integration%20in%20the%20Prices%20of%20Key%20Aquaculture%20Species%20in%20the%20Philippines.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.309286?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
    2. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    3. Joseph Beaulieu, J. & Miron, Jeffrey A., 1993. "Seasonal unit roots in aggregate U.S. data," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 305-328.
    4. Banerjee, Anindya, et al, 1986. "Exploring Equilibrium Relationships in Econometrics through Static Models: Some Monte Carlo Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 253-277, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jia-Jan Lee, 2019. "The Study on the Correlation between Wholesale Price and Trading Volume in Taiwan Milkfish Market," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 7(2), pages 73-81, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paulo Rodrigues & Denise Osborn, 1999. "Performance of seasonal unit root tests for monthly data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(8), pages 985-1004.
    2. Roberto Martínez-Espiñeira, 2007. "An Estimation of Residential Water Demand Using Co-Integration and Error Correction Techniques," Journal of Applied Economics, Taylor & Francis Journals, vol. 10(1), pages 161-184, May.
    3. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, April.
    4. Carl Bonham & Byron Gangnes, 1995. "Intervention Analysis with Cointegrated Time Series: The Case of the Hawaii Hotel Room Tax," Working Papers 199505, University of Hawaii at Manoa, Department of Economics.
    5. Hylleberg, Svend, 1995. "Tests for seasonal unit roots general to specific or specific to general?," Journal of Econometrics, Elsevier, vol. 69(1), pages 5-25, September.
    6. Chambers, Marcus J. & Ercolani, Joanne S. & Taylor, A.M. Robert, 2014. "Testing for seasonal unit roots by frequency domain regression," Journal of Econometrics, Elsevier, vol. 178(P2), pages 243-258.
    7. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2005. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Trinity Economics Papers tep20021, Trinity College Dublin, Department of Economics.
    8. Moosa, Imad A. & Choe, Chongwoo, 1998. "Is the Korean economy export-driven?," Economic Modelling, Elsevier, vol. 15(2), pages 237-255, April.
    9. Shin, Dong Wan & Oh, Man-Suk, 2000. "Semiparametric tests for seasonal unit roots based on a semiparametric feasible GLSE," Statistics & Probability Letters, Elsevier, vol. 50(3), pages 207-218, November.
    10. Paulo Rodrigues & Philip Hans Franses, 2005. "A sequential approach to testing seasonal unit roots in high frequency data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(6), pages 555-569.
    11. Hans Franses, Philip & Koehler, Anne B., 1998. "A model selection strategy for time series with increasing seasonal variation," International Journal of Forecasting, Elsevier, vol. 14(3), pages 405-414, September.
    12. Smith, Jeremy & Otero, Jesus, 1997. "Structural breaks and seasonal integration," Economics Letters, Elsevier, vol. 56(1), pages 13-19, September.
    13. Beenstock, Michael & Reingewertz, Yaniv & Paldor, Nathan, 2016. "Testing the historic tracking of climate models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1234-1246.
    14. Haug, Alfred A., 1996. "Tests for cointegration a Monte Carlo comparison," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 89-115.
    15. del Barrio Castro, Tomás & Osborn, Denise R., 2023. "Periodic Integration and Seasonal Unit Roots," MPRA Paper 117935, University Library of Munich, Germany, revised 2023.
    16. Norah Al-Ballaa, 2005. "Test for cointegration based on two-stage least squares," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(7), pages 707-713.
    17. D R Osborn & M Sensier, 2004. "Modelling UK Inflation: Persistence, Seasonality and Monetary Policy," Centre for Growth and Business Cycle Research Discussion Paper Series 46, Economics, The University of Manchester.
    18. Hamori, Shigeyuki, 2001. "Seasonality and stock returns: some evidence from Japan," Japan and the World Economy, Elsevier, vol. 13(4), pages 463-481, December.
    19. Fase, M. M. G., 1995. "The demand for commercial bank loans and the lending rate," European Economic Review, Elsevier, vol. 39(1), pages 99-115, January.
    20. Evren Erdoğan Cosar, 2006. "Seasonal behaviour of the consumer price index of Turkey," Applied Economics Letters, Taylor & Francis Journals, vol. 13(7), pages 449-455.

    More about this item

    Keywords

    Agribusiness;

    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:ags:pjemad:309286. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ceuplph.html .

    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.