7 research outputs found

    Metropolitan Maquiladora Econometric Forecast Accuracy

    Get PDF
    Maquiladora in-bond manufacturing activities occupy positions of collective importance within many regional economies across Mexico. To date, empirical evidence regarding the predictability of maquiladora activities in Mexico has not been attempted. To partially fill that gap in the literature, two sets of in-bond industry econometric forecasts for metropolitan economies in Northern Mexico are analyzed. Empirical results indicate that accurate forecasts of metropolitan maquiladora variables may prove elusive.Regional Maquiladora Forecasting

    Metropolitan Econometric Electric Utility Forecast Accuracy

    Get PDF
    El Paso Electric Company (EPEC) is the sole commercial electricity provider for two metropolitan economies in the southwestern desert region of the United States: El Paso, Texas and Las Cruces, New Mexico.  A publicly traded corporation, EPEC employs a structural econometric system of equations model to forecast energy sales for various customer classes. Although the modeling system has provided reliable inputs to annual corporate planning efforts at EPEC, its historical track record has not previously been formally assessed for forecast accuracy. Both descriptive and inferential statistics are used to evaluate the EPEC model's forecasting performance.  Results indicate that accurate prediction of electricity usage in this service area is an elusive target. Those results are similar to what has been documented for other regional economic variables. Keywords: Energy forecasting, Statistical tests, Forecast accuracy evaluation JEL Classifications: Q47; M21; R1

    Testing Maquiladora forecast accuracy

    No full text
    This study examines the historical accuracy of the structural equation maquiladora forecasts generated using the UTEP Borderplex Econometric Forecasting Model. The eight variables that are included come from the Maquiladora block of this Model for both Ciudad Juarez, Chihuahua and Chihuahua, Chihuahua. These forecasts are three year simulations that appear in the Borderplex Economic Outlook reports published from 1999 through 2006. Combined, they provide a total of 21 observations for each variable. The specific data series are total maquiladora employment, operating plants, average hourly wages, and total value added

    Metropolitan maquiladora econometric forecast accuracy

    No full text
    Maquiladora in-bond manufacturing activities occupy positions of collective importance within many regional economies across Mexico. To date, empirical evidence regarding the predictability of maquiladora activities in Mexico has not been attempted. To partially fill that gap in the literature, two sets of in-bond industry econometric forecasts for metropolitan economies in Northern Mexico are analyzed. Empirical results indicate that accurate forecasts of metropolitan maquiladora variables may prove elusive

    Metropolitan econometric electric utility forecast accuracy

    Get PDF
    © 2015, Econjournals. All right resurved. El Paso Electric Company (EPEC) is the sole commercial electricity provider for two metropolitan economies in the southwestern desert region of the United States: El Paso, Texas and Las Cruces, New Mexico. A publicly traded corporation, EPEC employs a structural econometric system of equations model to forecast energy sales for various customer classes. Although the modeling system has provided reliable inputs to annual corporate planning efforts at EPEC, its historical track record has not previously been formally assessed for forecast accuracy. Both descriptive and inferential statistics are used to evaluate the EPEC model’s forecasting performance. Results indicate that accurate prediction of electricity usage in this service area is an elusive target. Those results are similar to what has been documented for other regional economic variables

    D. Die einzelnen romanischen Sprachen und Literaturen.

    No full text

    D. Die einzelnen romanischen Sprachen und Literaturen.

    No full text
    corecore