IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/59583.html
   My bibliography  Save this paper

Border Region Bridge and Air Transport Predictability

Author

Listed:
  • Fullerton, Thomas M., Jr.
  • Mukhopadhyay, Somnath

Abstract

Border region transportation forecast analysis is fraught with difficulty. In the case of El Paso, Texas and Ciudad Juarez, Chihuahua, Mexico, dual national business cycles and currency market fluctuations further complicate modeling efforts. Incomplete data samples and asymmetric data reporting conventions further confound forecasting exercises. Under these conditions, a natural alternative to structural econometric models to consider is neural network analysis. Neural network forecasts of air transportation and international bridge activity are developed using a multi-layered perceptron approach. Those out-of sample simulations are then compared to previously published forecasts produced with a system of simultaneous econometric equations. Empirical results indicate that the econometric approach is generally more accurate. In several cases, the two sets of forecasts are found to contain complementary information.

Suggested Citation

  • Fullerton, Thomas M., Jr. & Mukhopadhyay, Somnath, 2013. "Border Region Bridge and Air Transport Predictability," MPRA Paper 59583, University Library of Munich, Germany, revised 11 Jul 2013.
    • Handle: RePEc:pra:mprapa:59583
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/59583/1/MPRA_paper_59583.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marcycruz de Leon & Thomas M Fullerton Jr & Brian W Kelly, 2009. "Tolls, Exchange Rates, And Borderplex International Bridge Traffic," Articles, International Journal of Transport Economics, vol. 36(2).
    2. David Levinson, 2005. "Paying for the Fixed Costs of Roads," Journal of Transport Economics and Policy, University of Bath, vol. 39(3), pages 279-294, September.
    3. Fullerton, T.M., 2007. "Empirical Evidence Regarding 9/11 Impacts on the Borderplex Economy," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 7(2), pages 51-64.
    4. Robert Bain, 2009. "Error and optimism bias in toll road traffic forecasts," Transportation, Springer, vol. 36(5), pages 469-482, September.
    5. Fildes, Robert & Wei, Yingqi & Ismail, Suzilah, 2011. "Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures," International Journal of Forecasting, Elsevier, vol. 27(3), pages 902-922, July.
    6. Bent Flyvbjerg & Mette K. Skamris Holm & Søren L. Buhl, 2005. "Inaccuracy in Traffic Forecasts," Transport Reviews, Taylor & Francis Journals, vol. 26(1), pages 1-24, April.
    7. Thomas M Fullerton Jr, 2005. "Borderplex Bridge and Air Econometric Forecast Accuracy," Urban/Regional 0501005, University Library of Munich, Germany.
    8. Galina An & Thitima Puttitanun, 2009. "Revisiting McCallum's Border Puzzle," Economic Development Quarterly, , vol. 23(2), pages 167-170, May.
    9. Thomas M. Fullerton JR., 2001. "Specification of a Borderplex Econometric Forecasting Model," International Regional Science Review, , vol. 24(2), pages 245-260, April.
    10. Timotej Jagric & Sebastjan Strasek, 2005. "A Nonlinear Extension Of The Nber Model For Short‐Run Forecasting Of Business Cycles," South African Journal of Economics, Economic Society of South Africa, vol. 73(3), pages 435-448, September.
    11. Cooper, J Phillip & Nelson, Charles R, 1975. "The Ex Ante Prediction Performance of the St. Louis and FRB-MIT-PENN Econometric Models and Some Results on Composite Predictors," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 7(1), pages 1-32, February.
    12. West, Carol Taylor, 2003. "Structural Regional Factors that Determine Absolute and Relative Accuracy of U.S. Regional Labor Market Forecasts," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 35(Supplemen), pages 1-15.
    13. Thomas M Fullerton Jr, 2004. "Currency Movements and International Border Crossings," Urban/Regional 0407008, University Library of Munich, Germany.
    14. Taylor, James W., 2010. "Reply to the discussion of: Exponentially weighted methods for forecasting intraday time series with multiple seasonal cycles," International Journal of Forecasting, Elsevier, vol. 26(4), pages 658-660, October.
    15. Pagan, Adrian, 1974. "A Generalised Approach to the Treatment of Autocorrelation," Australian Economic Papers, Wiley Blackwell, vol. 13(23), pages 267-280, December.
    16. Taylor, James W., 2010. "Exponentially weighted methods for forecasting intraday time series with multiple seasonal cycles," International Journal of Forecasting, Elsevier, vol. 26(4), pages 627-646, October.
    17. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    18. McCallum, John, 1995. "National Borders Matter: Canada-U.S. Regional Trade Patterns," American Economic Review, American Economic Association, vol. 85(3), pages 615-623, June.
    19. Thomas M Fullerton Jr & Roberto Tinajero, 2004. "Cross Border Cargo Vehicle Flows," International Trade 0405006, University Library of Munich, Germany.
    20. Heravi, Saeed & Osborn, Denise R. & Birchenhall, C. R., 2004. "Linear versus neural network forecasts for European industrial production series," International Journal of Forecasting, Elsevier, vol. 20(3), pages 435-446.
    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. Thomas M. Fullerton Jr. & Angel L. Molina Jr & Adam G. Walke, 2013. "Tolls, exchange rates, and northbound international bridge traffic from Mexico," Regional Science Policy & Practice, Wiley Blackwell, vol. 5(3), pages 305-321, August.
    2. Thomas M Fullerton Jr, 2005. "Borderplex Bridge and Air Econometric Forecast Accuracy," Urban/Regional 0501005, University Library of Munich, Germany.
    3. Marcycruz de Leon & Thomas M Fullerton Jr & Brian W Kelly, 2009. "Tolls, Exchange Rates, And Borderplex International Bridge Traffic," Articles, International Journal of Transport Economics, vol. 36(2).
    4. Thomas M. Fullerton Jr. & George Novela, 2010. "Metropolitan Maquiladora Econometric Forecast Accuracy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 124-140, September.
    5. Barrow, Devon K., 2016. "Forecasting intraday call arrivals using the seasonal moving average method," Journal of Business Research, Elsevier, vol. 69(12), pages 6088-6096.
    6. Fullerton, Thomas M. Jr & Walke, Adam G., 2012. "Border Zone Mass Transit Demand in Brownsville and Laredo," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 51(2).
    7. Hsiao-Hui Lee & Edieal J. Pinker & Robert A. Shumsky, 2012. "Outsourcing a Two-Level Service Process," Management Science, INFORMS, vol. 58(8), pages 1569-1584, August.
    8. Md. Iftekharul Alam Efat & Petr Hajek & Mohammad Zoynul Abedin & Rahat Uddin Azad & Md. Al Jaber & Shuvra Aditya & Mohammad Kabir Hassan, 2024. "Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales," Annals of Operations Research, Springer, vol. 339(1), pages 297-328, August.
    9. Thomas Fullerton & Roberto Tinajero & Martha Barraza de Anda, 2006. "Short-Term Water Consumption Patterns in Ciudad Juárez, Mexico," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 34(4), pages 467-479, December.
    10. Thomas Fullerton & Adam Walke, 2014. "Homicides, exchange rates, and northern border retail activity in Mexico," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(3), pages 631-647, November.
    11. Thomas M. Fullerton & Adam G. Walke, 2019. "Cross-Border Shopping and Employment Patterns in the Southwestern United States," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 10(03), pages 1-19, October.
    12. Arnold Cote, K. Nicole & Smith, Wm. Doyle & Fullerton, Thomas M., Jr., 2010. "Municipal Non-Residential Real Property Valuation Forecast Accuracy," MPRA Paper 32116, University Library of Munich, Germany, revised 11 Feb 2011.
    13. Thomas M Fullerton Jr & Richard L Sprinkle & Roberto Tinajero, 2004. "El Paso Customs District Cross-Border Trade Flows," International Trade 0406001, University Library of Munich, Germany.
    14. Charles, Jacky S. & Fullerton, Thomas M., Jr., 2012. "An Error Correction Analysis of Visitor Arrivals to the Bahamas," MPRA Paper 43064, University Library of Munich, Germany.
    15. Thomas Fullerton & David Schauer, 2001. "Short-run maquiladora employment dynamics," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 7(4), pages 471-478, November.
    16. Mauro Bernardi & Francesco Lisi, 2020. "Point and Interval Forecasting of Zonal Electricity Prices and Demand Using Heteroscedastic Models: The IPEX Case," Energies, MDPI, vol. 13(23), pages 1-34, November.
    17. Lazos, Dimitris & Sproul, Alistair B. & Kay, Merlinde, 2014. "Optimisation of energy management in commercial buildings with weather forecasting inputs: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 587-603.
    18. Fullerton, T.M., 2007. "Empirical Evidence Regarding 9/11 Impacts on the Borderplex Economy," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 7(2), pages 51-64.
    19. Abdoulganiour Almame Tinta, 2017. "The determinants of participation in global value chains: The case of ECOWAS," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1389252-138, January.
    20. Sayar Karmakar & Marek Chudý & Wei Biao Wu, 2022. "Long‐term prediction intervals with many covariates," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(4), pages 587-609, July.

    More about this item

    Keywords

    Regional Transport Demand; Neural Networks; Econometric Forecasting;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    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:pra:mprapa:59583. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.