Commercial banks and currency kiosk bureaus provide exchange services throughout Ciudad Juarez. This study employs newspaper data to examine how the bank and kiosk sell-buy spreads are affected by border crossings, the bilateral peso per dollar exchange rate, and 90-day Mexico - U.S. treasury yield differentials. Sample data are from January 2009 through June 2016. Parameter estimation is carried out using a GLS ARMAX procedure. Empirical results indicate that bank spreads increase as the peso weakens. Exchange bureau spreads decrease as cross-border traffic flows increase. Currency kiosk spreads tend to widen as 90-day yield gaps become larger.

To examine housing price dynamics for Las Cruces, New Mexico, a theoretical model is developed that takes into account the supply and demand sides. The employed ARDL estimation methodology allows for more realistic modeling of market dynamics than prior studies of this residential real estate market, the second largest in New Mexico. A slightly larger sample size is also utilized. The results obtained corroborate evidence reported in several previous housing studies. Some unexpected outcomes also indicate that consistently reliable interlinkages between housing prices and explanatory variables may be elusive. Among the latter, an inverse relationship between apartment rents and single-family housing prices is most surprising but may be a consequence of the large university and college student population in Las Cruces. As post-secondary enrollments increase, so too do faculty numbers, allowing both housing prices and apartment rents to increase simultaneously. That implies that apartments and single-unit houses may be complements rather than substitutes in college towns like Las Cruces. Additional research using data for other small- and medium-sized urban economies would be helpful. © 2022 AESS Publications. All Rights Reserved.

Economic stress indices are beginning to be developed as gauges of business cycle conditions for regional economies. Although the popularity of these metrics is increasing, there have been only a small number of studies that analyze the effectiveness of these tools for monitoring regional economic developments. This effort employs data for one such index that is maintained by the University of Texas at El Paso Border Region Modeling Project. The sample period covers December 2002 through March 2019. Specific components of the index include inflation, unemployment, and housing prices. Estimation results indicate that the effects of any changes in economic stress levels may take approximately 16 months to be fully experienced within the El Paso retail sector. Simulation results indicate that a one-time, 1-point increase in economic stress leads to a $2.987 million decrease in monthly retail sales.

Staffing classrooms with effective teachers remains a persistent policy challenge in the U.S. Teaching positions requiringSTEM expertise are particularly difficult to fill. Scholars have identified similar trends in other industrialized nations. Yet, limited research examines international comparisons of the causes and consequences of staffing challenges. We use the 2015 Trends in Mathematics and Science Study to track teacher staffing difficulties in 27 countries. We find substantial variation across countries in the proportion of principals reporting difficulties filling STEM positions, with U.S. schools mirroring international averages. We also find consistent relationships between lower math and science achievement and attending a hard-to-staff school.

Purpose: Principals are critical to school improvement and play a vital role in creating inclusive and high-performing schools. Yet, approximately one in five principals leave their school each year, and turnover is higher in schools that serve low-income students of color. Relatedly, high rates of teacher turnover exacerbate challenges associated with unstable learning environments. Our study examines the extent to which principal turnover influences teacher turnover. We build on past work by exploring how the relationship between teacher and principal turnover differs in urban, high-poverty settings and by examining the effects of chronic principal turnover. Research Methods/Approach: We draw on a student- and employee-level statewide longitudinal dataset from Texas that includes all public K-12 schools from school years 1999–2000 to 2016–17. We estimate teacher-level models with school fixed effects, allowing us to compare teacher turnover in schools leading up to and immediately following a principal exit, to otherwise similar schools that do not experience principal turnover. Findings: Teacher turnover spikes in schools experiencing leadership turnover, and these effects are greater among high-poverty and urban schools, in schools with low average teacher experience, and in schools experiencing chronic principal turnover. Implications: Improving leadership stability, especially in urban schools experiencing chronic principal turnover may be an effective approach to reducing teacher turnover. Principal and teacher turnover and their relationship with each other requires further investigation. The field would benefit from qualitative research that can provide important insights into the individual decisions and organizational processes that contribute to principal turnover.

Panel regression analysis is used to examine the impact of trade clusters on transportation costs along the southern border of the United States. CIF/FOB ratios are utilized as the transportation cost measures. Grubel-Lloyd and Herfindahl-Hirschman indexes are utilized to identify trade clusters in the sample. Data are assembled for four customs districts (El Paso, Laredo, Nogales, and San Diego) during a 20-year period between 1995 and 2015. Empirical results suggest that trade clusters are associated with reduced transportation costs. These results differ from those of the northern border of the United States, where trade clusters have higher transportation costs.

Purpose This paper aims to analyze the median price for existing single-family housing units in Las Cruces, New Mexico. The proposed theoretical model accounts for the interplay between supply and demand sides of a metropolitan housing market. Design/methodology/approach This study analyzes the median price for existing single-family housing units in Las Cruces, New Mexico. The proposed theoretical model accounts for the interplay between supply and demand sides of a metropolitan housing market. Explanatory variables used in the analysis are real per capita income, the housing stock, real mortgage rates, real apartment rents and the median real price of single-family units in the USA. Annual frequency data are collected for a 1971-2017 sample period. Parameter estimation is completed using two-stage generalized least squares. Empirical results confirm several, but not all, of the hypotheses associated with the underlying analytical model. In particular, Las Cruces housing prices are found to be reliably correlated with local income and national housing prices. Findings Empirical results confirm several of the hypotheses associated with the underlying analytical model. In particular, Las Cruces housing prices are found to be reliably correlated with local income and national housing prices. Research limitations/implications Results obtained support only a subset of the hypothetical relationships associated with the theoretical model. Additional testing for other small and/or medium sized is required to clarify whether these outcomes are unique to Las Cruces. Practical implications Local income fluctuations and national housing price fluctuations appear to be reliably related to housing price fluctuations for this metropolitan economy. Originality/value Comparatively little housing market research has been conducted for small and medium size urban economies. There is no guarantee that results obtained for large metropolitan housing markets are representative of smaller regional housing markets. The model developed has fairly moderate data requirements and may be applicable to other small and medium size economies such as Las Cruces.

Educational data offer a powerful tool for supporting equity. In this article, the authors call for a shift toward greater use of data in educator preparation programs. The authors motivate their proposal by highlighting findings from the Department of Education report released January 2018, which found that the Texas Education Agency systematically denied students special education services. The article outlines three basic metrics that stakeholders can use to identify potential noncompliance with the Individuals With Disabilities Education Act. The authors describe other ways data can be used to promote equity and close with recommendations for educator preparation policy and practice.

Credit union participation in the consumer lending market continues to grow as an increasing number of consumers and small businesses become members and open accounts. This study investigates the determinants of credit union loan rates during a period of economic expansion in the United States using fourth quarter 2015 data for 5,942 credit unions. Five different interest rate categories are analysed using nine potential loan rate determinants. Results indicate that loan rates tend to be lower as credit union size increases, while high ratios for net charge-offs and operating costs cause interest rates to increase. Opposite to what is expected, loan rates are positively correlated with regional unemployment rates. A possible explanation for this outcome is that weak labour markets are associated with elevated loan delinquency rates and, therefore, greater default risks resulting in higher interest rates.

As workforce participation increasingly requires a college degree, ensuring that more students from traditionally underrepresented populations have the opportunity to enter and complete college is an equity imperative. To that end, high school reforms have promoted college-going cultures in low-performing high schools through interventions such as rigorous course offerings and college counseling. College access research has focused on issues specific to academics and college-going processes. Yet this research has tended to ignore broader school climate factors such as school safety and extracurricular programming, which may play a critical role in postsecondary opportunity, especially for historically underserved students. The current study applies hierarchical generalized linear modeling to the Educational Longitudinal Study of 2002 to 2006 to examine the role of college-going culture and high school climate characteristics on college enrollment and persistence. We find that while some components of college-going culture are associated with the likelihood of college enrollment and persistence, that relationship is moderated by school climate factors. We conclude that efforts to implement a college-going culture may struggle if extracurricular opportunities, school safety, and overall school climate issues are ignored.