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The Nuevo Laredo maquiladora sector has grown enormously during the last two decades. The short-term time series characteristics of this portion of the regional economy are analyzed in an attempt to quantify the trends underlying this remarkable performance. Parameter estimation is accomplished via linear transfer function (LTF) analysis. Data are drawn from the January 1990-December 2000 sample period. Empirical results indicate that real wage rates, maquiladora plants, U.S. industrial activity, and the real exchange rate of the peso play significant roles in determining month-to-month fluctuations in maquiladora employment. Furthermore, sub-sample forecast simulation exercises are conducted as an additional means for verifying model reliability. Empirical results indicate that the forecasts generated with the LTF model are less accurate than those associated with a simple random walk procedure for twelve separate step-length periods. Copyright 2007 Blackwell Publishing.

Remittances have been promoted as a development tool because they can raise incomes and reduce poverty rates in developing countries. Remittances may also promote development by providing funds that recipients can spend on education or health care or invest in entrepreneurial activities. From a macroeconomic perspective, remittances can boost aggregate demand and thereby GDP as well as spur economic growth. However, remittances may also have adverse macroeconomic impacts by increasing income inequality and reducing labor supply among recipients. We use state-level data from Mexico during 2003-2007 to examine the aggregate effect of remittances on employment, wages, unemployment rates, the wage distribution, and school enrollment rates. While employment, wages and school enrollment have risen over time in Mexican states, these trends are not accounted for by increasing remittances. However, two-stage least squares specifications among central Mexican states suggest that remittances shift the wage distribution to the right, reducing the fraction of workers earning the minimum wage or less.

For decades, the maquiladora industry has been a major economic engine along the U.S.–Mexico border. Since the 1970s, researchers have analyzed how the maquiladora industry affects cities along both sides of the border. Hanson produced the first comprehensive study on the impact of the maquiladoras on U.S. border cities, considering the effects of in‐bond plants on both employment and wages. His estimates became useful rules of thumb for the entire U.S.–Mexico border; however, they have become dated. Using Hanson's framework, we estimate the maquiladora industry impact on U.S. border cities from 1990 to 2006. We find that a 10 percent increase in maquiladora production leads to a 0.5 to 0.9 percent increase in employment. We also find large differences among individual border cities. Furthermore, we estimate the cross‐border maquiladora impacts before and after 2001 when border security begins to rise, and the global low‐wage competition intensified after China joined the World Trade Organization. Empirical results indicate that U.S. border cities are less responsive to growth in maquiladora production from 2001 to 2006 than in the earlier period; however, when looking into specific sectors, we find that U.S. border city employment in service sectors is more responsive post‐2001.

For decades, the maquiladora industry has been a major economic engine along the U.S.-Mexico border. Since the 1970s, researchers have analyzed how the maquiladora industry affects cities along both sides of the border. Gordon Hanson (2001) produced the first comprehensive study on the impact of the maquiladoras on U.S. border cities, considering the impact of these in-bond plants on both employment and wages. His estimates became useful rules of thumb for the entire U.S.-Mexico border. These estimates have become dated, as Hanson's study covered the period from 1975 to 1997. The purpose of this paper is to update Hanson's results using data from 1990 to 2006, and to extend the estimates to specific border cities. For the border region as a whole, we find that the impact of a 10 percent increase in maquiladora production leads to a 0.5 to 0.9 percent change in employment. However, we also find that the border average is quite misleading, with large differences among individual border cities. Cities along the Texas-Mexico border benefit the most from growing maquiladora production. We also estimate the cross-border maquiladora impacts before and after 2001 when border security begins to rise, the maquiladora industry entered a severe recession and extensive restructuring and global low-wage competition intensified as China joined the World Trade Organization. Empirical results indicate that U.S. border cities are less responsive to growth in maquiladora production from 2001-2006 than in the earlier period; however, when looking into specific-sectors we find that U.S. border city-employment in service-sectors are far more responsive post-2001.