Border Zone Mass Transit Demad in Brownsville and Laredo

This study examines whether economic conditions in Mexico influence public transportation ridership levels in the border cities of Brownsville and Laredo, Texas. Besides the standard variables generally utilized to model bus ridership, additional indicators included in the empirical analysis are northbound pedestrian traffic and the real exchange rate index. Seemingly unrelated regression parameter estimates suggest that the volume of pedestrian border crossings in both cities is positively related to changes in ridership. The real exchange rate index in Laredo is negatively related to fluctuations in ridership, implying that peso appreciation increases transit utilization in this border city

Mexico Evidence on the Regional Retail Impacts of Violent Crime

Prior research reports mixed results regarding the economic impacts of crime. This study employs data from all regions of Mexico, including border regions in both the north and the south, to examine the effects of homicides on retail activity across Mexico during a period of escalating violence. The results indicate that one additional homicide within a municipality eliminates one retail establishment and one paid job in the retail sector. Furthermore, the negative consequences of violent crime for retailers are augmented by proximity to an international border. This is consistent with previous research findings that cross-border shopping is a key feature of commerce along the international boundaries of Mexico. It suggests that crime waves may disproportionately impact border city retail activity by partially diverting customer traffic to stores located in neighboring countries. This result is also consistent with the finding of recent research that violent conflict in northern Mexico resulted in increased retail activity in some United States border cities

Border Zone Mass Transit Demad in Brownsville and Laredo

This study examines whether economic conditions in Mexico influence public transportation ridership levels in the border cities of Brownsville and Laredo, Texas. Besides the standard variables generally utilized to model bus ridership, additional indicators included in the empirical analysis are northbound pedestrian traffic and the real exchange rate index. Seemingly unrelated regression parameter estimates suggest that the volume of pedestrian border crossings in both cities is positively related to changes in ridership. The real exchange rate index in Laredo is negatively related to fluctuations in ridership, implying that peso appreciation increases transit utilization in this border city

Nominal Exchange Rate Dynamics for the Taka

Abstract. Error correction modeling is used to model the nominal exchange rate for the Bangladeshi taka. Based on existing trade volumes and trade practices, the bilateral exchange rate of the taka with the dollar is analyzed.  Annual frequency data are utilized for the study. The sample data cover the four decade period from 1976 to 2015. Results indicate that a balance of payments modeling approach performs more reliably than a monetary balances approach.Keywords. Regional economics, Business cycles, Economic indicators.JEL. F31, O53

An Empirical Analysis of Migratory Flows to the United States

The decision by economic migrants to leave their country of origin for the purpose of employment and to improve quality of life is generally regarded as an investment decision. Real or expected income differentials between the source and the host country and the possibilities of being employed in each influence the decision to migrate. Economic migrants also respond to non-pecuniary factors, such as climate, environmental amenities, and life cycle variables. This paper examines how labor market regulations may influence work migration to the United States. The hypothesis is that the negative effects of excessive labor market regulations on income reported by Fullerton et al. (2007) and Licerio et al. (2010) will increase migration to countries with more flexible and less restrictive regulatory labor markets. Data from the Doing Business 2010 report describing labor market conditions in several countries and territories during 2010 are employed to describe labor market restrictiveness in 168 countries. Four models are specified to measure the effects of labor market restrictiveness on migration. Deviance Information Criterion (DIC) estimates are utilized to select the best specification for modeling migration to the United States. Empirical results confirm many of the hypotheses, but some of the outcomes are relatively weak

Border zone mass transit demand in Brownsville and Laredo

This study examines whether economic conditions in Mexico influence public transportation ridership levels in the border cities of Brownsville and Laredo, Texas. Besides the standard variables generally utilized to model bus ridership, additional indicators included in the empirical analysis are northbound pedestrian traffic and the real exchange rate index. Seemingly unrelated regression parameter estimates suggest that the volume of pedestrian border crossings in both cities is positively related to changes in ridership. The real exchange rate index in Laredo is negatively related to fluctuations in ridership, implying that peso appreciation increases transit utilization in this border city

Border zone mass transit demand in Brownsville and Laredo

This study examines whether economic conditions in Mexico influence public transportation ridership levels in the border cities of Brownsville and Laredo, Texas. Besides the standard variables generally utilized to model bus ridership, additional indicators included in the empirical analysis are northbound pedestrian traffic and the real exchange rate index. Seemingly unrelated regression parameter estimates suggest that the volume of pedestrian border crossings in both cities is positively related to changes in ridership. The real exchange rate index in Laredo is negatively related to fluctuations in ridership, implying that peso appreciation increases transit utilization in this border city

Upward Sloping Demand for a Normal Good? Residential Electricity in Arkansas

This study analyzes residential electricity demand in the state of Arkansas using an error-correction approach that examines both long-run and short-run dynamics. As in prior studies, results indicate that higher electricity prices reduce consumption in the long-run, but not in the short-run. With respect to variations in household income, residential electricity is treated as a normal good.  The long-run income elasticity estimate is about twice as large as the short-run estimate. It is suggested that the muted short-run responses to price and income variables may reflect limited capacity to adjust the stock of electricity-consuming household devices over the short-term.  More surprisingly, households are found to treat electricity as a normal good in the short-run, but have an upward sloping demand curve associated with it. The overall results suggest that increasing generating capacity in Arkansas will be feasible using the standard approach of incremental rate increases. Keywords: Residential Electricity Consumption; Regional Economics; Business Economics JEL Classifications: M21; Q4; R15

An Econometric Approach for Modeling Population Change in Doña Ana County, New Mexico

An econometric model using time series analysis techniques is employed to model and forecast population changes in Doña Ana County, New Mexico. The model focuses on the interplay between economic and demographic variables. Individual, cointegrated equations are generated to account for the components of population change - births, deaths, net domestic and net international migration. Birth and death equations prove easier to model because of stable changes from period to period in relation to income levels and national demographic trends. Net migration equations were more difficult to model as economic conditions, specifically labor market conditions, influence changes over time. Predefined exogenous variables are used to generate out-of-sample simulations for the individual components of population change. Using those results, total population projections are estimated until the year 2018. Doña Ana County is projected to witness a slowdown in population growth, primarily as a consequence of increased domestic out-migration

An Econometric Approach for Modeling Population Change in Doña Ana County, New Mexico

An econometric model using time series analysis techniques is employed to model and forecast population changes in Doña Ana County, New Mexico. The model focuses on the interplay between economic and demographic variables. Individual, cointegrated equations are generated to account for the components of population change - births, deaths, net domestic and net international migration. Birth and death equations prove easier to model because of stable changes from period to period in relation to income levels and national demographic trends. Net migration equations were more difficult to model as economic conditions, specifically labor market conditions, influence changes over time. Predefined exogenous variables are used to generate out-of-sample simulations for the individual components of population change. Using those results, total population projections are estimated until the year 2018. Doña Ana County is projected to witness a slowdown in population growth, primarily as a consequence of increased domestic out-migration