IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpem/0508019.html
   My bibliography  Save this paper

Econometric Model for Cement demand and supply in Bolivia

Author

Listed:
  • Melitón Ramirez Mattos

    (Independent Investigator)

Abstract

This document introduce the obtained results of the econometric estimation of cement demand and supply in Bolivia considered as a simultaneous equations model, based on two equations, one for the demand and another for the supply. The objective of this study is to quantify the forces that affect the cement market in the period understood among the years 1994 up to 2003. Five models of simultaneous equations were considered, which are based on the respective linear functions of cement demand and supply to be able to explain the coefficients associated to the variables in form of elasticities. The estimates were made following the classic methodology of econometrics with the respective statistical validation, being carried out the individual and grupal validation of the coefficients associated to each variable indicating the statistic significance of the same ones.

Suggested Citation

  • Melitón Ramirez Mattos, 2005. "Econometric Model for Cement demand and supply in Bolivia," Econometrics 0508019, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpem:0508019
    Note: Type of Document - pdf; pages: 19
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/em/papers/0508/0508019.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Prentice, 2000. "Estimating a Differentiated Products Model with a Discrete/Continuous Choice and Limited Data," Working Papers 2000.16, School of Economics, La Trobe University.
    2. Alberto Behar & Lawrence Edwards, 2004. "Estiimating Elasticities Of Demand And Supply For South African Manufactured Exports Using A Vector Error Correction Model," Development and Comp Systems 0409045, University Library of Munich, Germany.
    3. Teresa Garin-Munoz & Teodosio Perez Amaral, 2000. "An econometric model for international tourism flows to Spain," Applied Economics Letters, Taylor & Francis Journals, vol. 7(8), pages 525-529.
    Full references (including those not matched with items on IDEAS)

    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. Aslan, Alper & Kaplan, Muhittin & Kula, Ferit, 2008. "International Tourism Demand for Turkey: A Dynamic Panel Data Approach," MPRA Paper 10601, University Library of Munich, Germany.
    2. Marcos Álvarez-Díaz & Manuel González-Gómez & María Soledad Otero-Giráldez & Ana Belén Trigo Iglesias, 2014. "Modelización econométrica de la demanda de turistas británicos a España," Working Papers 1404, Universidade de Vigo, Departamento de Economía Aplicada.
    3. Gangwei Cai & Baoping Zou & Xiaoting Chi & Xincheng He & Yuang Guo & Wen Jiang & Qian Wu & Yujin Zhang & Yanna Zhou, 2023. "Neighborhood Spatio-Temporal Impacts of SDG 8.9: The Case of Urban and Rural Exhibition-Driven Tourism by Multiple Methods," Land, MDPI, vol. 12(2), pages 1-37, January.
    4. E. M. Ekanayake & Mihalis Halkides & John R. Ledgerwood, 2012. "Inbound International Tourism To The United States: A Panel Data Analysis," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 5(3), pages 15-27.
    5. Saayman, Andrea & Viljoen, Armand & Saayman, Melville, 2018. "Africa’s outbound tourism: An Almost Ideal Demand System perspective," Annals of Tourism Research, Elsevier, vol. 73(C), pages 141-158.
    6. Agiomirgianakis, George & Serenis, Dimitrios & Tsounis, Nicholas, 2017. "Effective timing of tourism policy: The case of Singapore," Economic Modelling, Elsevier, vol. 60(C), pages 29-38.
    7. Wamboye, Evelyn F. & Nyaronga, Peter John & Sergi, Bruno S., 2020. "What are the determinant of international tourism in Tanzania?," World Development Perspectives, Elsevier, vol. 17(C).
    8. Alberto Behar, 2005. "Does training benefit those who do not get any? Elasticities of complementarity and factor price in South Africa," Economics Series Working Papers 244, University of Oxford, Department of Economics.
    9. Xueying Huang & Yuanjun Han & Xuhong Gong & Xiangyan Liu, 2020. "Does the belt and road initiative stimulate China’s inbound tourist market? An empirical study using the gravity model with a DID method," Tourism Economics, , vol. 26(2), pages 299-323, March.
    10. McAleer, M.J. & Huang, B-W. & Kuo, H-I. & Chen, C-C. & Chang, C-L., 2008. "An econometric analysis of SARS and Avian flu on international tourist arrivals to Asia," Econometric Institute Research Papers EI 2008-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. Ahlfeldt Gabriel M. & Franke Bastian & Maennig Wolfgang, 2015. "Terrorism and International Tourism: The Case of Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(1), pages 3-21, February.
    12. Marcos Álvarez-Díaz & Manuel González-Gómez & María Soledad Otero-Giráldez, 2016. "La modelización de la demanda de turismo de economías emergentes: el caso de la llegada de turistas rusos a España," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, vol. 39(110), pages 112-125, Mayo.
    13. Tiago Neves Sequeira & Paulo Maçãs Nunes, 2008. "Does Country Risk Influence International Tourism? A Dynamic Panel Data Analysis," The Economic Record, The Economic Society of Australia, vol. 84(265), pages 223-236, June.
    14. Chukiat Chaiboonsri & Prasert Chaitip & N. Rangaswamy, 2008. "A Panel Unit Root and Panel Cointegration Test of the Modeling International Tourism Demand in India," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 8(1), pages 95-124.
    15. Chukiat Chaiboonsri & Jittaporn Sriboonjit & Thanes Sriwichailamphan & Prasert Chaitip & Songsak Sriboonchitta, 2010. "A Panel Cointegration Analysis: An Application To International Tourism Demand Of Thailand," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 10(3), pages 69-86.
    16. Gundelfinger-Casar, Javier & Coto-Millán, Pablo, 2018. "Measuring the main determinants of tourism flows to the Canary Islands from mainland Spain," Journal of Air Transport Management, Elsevier, vol. 70(C), pages 83-90.
    17. Krambia-Kapardis Maria & Stylianou Ioanna & Demetriou Salomi, 2022. "Nonlinear nexus between corruption and tourism arrivals: a global analysis," Empirical Economics, Springer, vol. 63(4), pages 1997-2024, October.
    18. Mammadov, Fuad, 2012. "Turizmin dinamikası və determinantları: Azərbaycan və dünya təcrübəsi [Dynamics and determinants of Tourism: the world experience and Azerbaijan]," MPRA Paper 77444, University Library of Munich, Germany.
    19. Shah Imtiyaz Ahmad & Nengroo Tariq Ahad & Haq Imtiyaz ul, 2022. "Determinants of International Tourism Demand in India: An Augmented Gravity Model Approach," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 32(3), pages 102-115, September.
    20. Jiafeng Gu, 2024. "The impact of national tourism day festivals on inbound tourism: A spatial difference-in-differences approach," Tourism Economics, , vol. 30(2), pages 417-441, March.

    More about this item

    Keywords

    cement; demand; supply; bolivia.;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

    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:wpa:wuwpem:0508019. 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: EconWPA (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    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.