The Tijuana maquiladora sector has grown enormously over the past two decades. Short-term time series characteristics of this segment of the regional economy are analyzed in an attempt to clarify labor market behavior associated with this remarkable performance. Parameter estimation is accomplished using linear transfer function analysis. Data are drawn from the January 1980–December 2000 sample period. Empirical results indicate that real wage rates, maquiladora plants, United States industrial activity, and the real exchange rate of the peso play significant roles in determining month-to-month fluctuations in maquiladora employment. Sub-sample simulation exercises are conducted using a random walk benchmark in order to examine forecast accuracy. Empirical results indicate that the linear transfer function technique provides relatively accurate forecasts all step-lengths. Copyright Springer-Verlag 2004
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Volume (Year): 38 (2004) Issue (Month): 4 (December) Pages: 751-763 Download reference. The following formats are available: HTML
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