Social and Behavioral Sciences Commons^™

Paso Del Norte Economic Indicator Review, December, Hunt Institute For Global Competitiveness

Technical Reports

No abstract provided.

Highlights From The Borderplex Economic Outlook To 2022, Thomas M. Fullerton Jr., Steven L. Fullerton

Border Region Modeling Project

No abstract provided.

Borderplex Business Barometer, Volume 4, Number 12, Thomas M. Fullerton Jr., Steven L. Fullerton, Ana Gutierrez Zubiate, Ignacio Santana

Border Region Modeling Project

No abstract provided.

The Prospector, November 3, 2020, Utep Student Publications

The Prospector

Headline: Public Health Crisis Trickles to UTEP

The Prospector, November 25, 2020, Utep Student Publications

The Prospector

Headline: Another Graduation Lost to COVID-19

Graduation issue. Contains a list of the 2020 graduates.

Paso Del Norte Economic Indicator Review, November, Hunt Institute For Global Competitiveness

Technical Reports

No abstract provided.

Borderplex Business Barometer, Volume 4, Number 11, Thomas M. Fullerton Jr., Steven L. Fullerton, Ana Gutierrez Zubiate, Ignacio Santana

Border Region Modeling Project

No abstract provided.

The Prospector, October 21, 2020, Utep Student Publications

The Prospector

Headline: Jill Biden Visits El Paso

The Prospector, October 6, 2020, Utep Student Publications

The Prospector

Headline: Climate Activists Protest Proposed Fracking Plant for Northeast El Paso

Minero Magazine, Volume Xxxi, Fall 2020, Utep Student Publications

The Prospector

Cover Story: The Health Issue

Mexico Consensus Economic Forecast, Volume 23, Number 4, Thomas M. Fullerton Jr., Steven L. Fullerton, Ana Gutierrez Zubiate

Border Region Modeling Project

No abstract provided.

Paso Del Norte Economic Indicator Review, October, Hunt Institute For Global Competitiveness

Technical Reports

No abstract provided.

Borderplex Business Barometer, Volume 4, Number 10, Thomas M. Fullerton Jr., Steven L. Fullerton, Ana Gutierrez Zubiate, Ignacio Santana

Border Region Modeling Project

No abstract provided.

Las Cruces Housing Price Fluctuations: 1971-2017, Steven L. Fullerton, James H. Holcomb, Thomas M. Fullerton Jr.

Border Region Modeling Project

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 United States. 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 …

The Prospector, September 22, 2020, Utep Student Publications

The Prospector

Headline: Volunteer Work Continues Remotely Amid Pandemic

Residential Electricity Consumption In Las Cruces, New Mexico, Usa, Thomas M. Fullerton Jr., Felipe F. Mejía

Departmental Papers (E & F)

This study examines how residential electricity consumption (KWHC) reacts to changes in the price of electricity, the price of natural gas, real income per capita, heating degree days, and cooling degree days. Annual frequency data analyzed are for Las Cruces, the second largest metropolitan economy in New Mexico. The sample period is 1977 to 2016. An Autoregressive-Distributed Lag model (ARDL) is employed to obtain long-run and short-run elasticities. In the long-run, residential consumption does not respond in a statistically reliable manner to any of the explanatory variables. All of the coefficient signs are as expected and those for real per …

The Prospector, September 8, 2020, Utep Student Publications

The Prospector

Headline: Students Face Uncertain Job Market

Paso Del Norte Economic Indicator Review, September, Hunt Institute For Global Competitiveness

Technical Reports

No abstract provided.

Borderplex Business Barometer, Volume 4, Number 9, Thomas M. Fullerton Jr., Steven L. Fullerton, Ana Gutierrez Zubiate, Ignacio Santana

Border Region Modeling Project

No abstract provided.

Need For Diversity In Elected Decision-Making Bodies: Economics-Related Analysis, Nguyen Ngoc Thach, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

On a qualitative level, everyone understands the need to have diversity in elected decision-making bodies, so that the viewpoint of each group be properly taken into account. However, when only the usual economic criteria are used in this election -- e.g., in the election of company's board -- the resulting bodies often under-represent some groups (e.g., women). A frequent way to remedy this situation is to artificially enforce diversity instead of strictly following purely economic criteria. In this paper, we show the current seeming contradiction between economics and diversity is caused by the imperfection of the use economic models: in …

The Prospector, August 12, 2020, Utep Student Publications

The Prospector

Headline: College in the Age of Coronavirus

Paso Del Norte Economic Indicator Review, August, Hunt Institute For Global Competitiveness

Technical Reports

No abstract provided.

Borderplex Business Barometer, Volume 4, Number 8, Thomas M. Fullerton Jr., Steven L. Fullerton, Ana Gutierrez Zubiate, Ignacio Santana

Border Region Modeling Project

No abstract provided.

Mexico Consensus Economic Forecast, Volume 23, Number 3, Thomas M. Fullerton Jr., Steven L. Fullerton, Ana Gutierrez Zubiate

Border Region Modeling Project

No abstract provided.

How Can Econometrics Help Fight The Covid'19 Pandemic?, Kevin Alvarez, Vladik Kreinovich

Departmental Technical Reports (CS)

The current pandemic is difficult to model -- and thus, difficult to control. In contrast to the previous epidemics whose dynamics was smooth and well described by the existing models, the statistics of the current pandemic is highly oscillating. In this paper, we show that these oscillations can be explained if we take into account the disease's long incubation period -- as a result of which our control measures are determined by outdated data, showing number of infected people two weeks ago. To better control the pandemic, we propose to use the experience of economics, where also the effect of …

Why Quadratic Log-Log Dependence Is Ubiquitous And What Next, Sean R. Aguilar, Vladik Kreinovich, Uyen Pham

Departmental Technical Reports (CS)

In many real-life situations ranging from financial to volcanic data, growth is described either by a power law -- which is linear in log-log scale, or by a quadratic dependence in the log-log scale. In this paper, we use natural scale invariance requirement to explain the ubiquity of such dependencies. We also explain what should be a reasonable choice of the next model, if quadratic turns out to be not too accurate: it turns out that under scale invariance, the next class of models are cubic dependencies in the log-log scale, then fourth order dependencies, etc.

Paso Del Norte Economic Indicator Review, July, Hunt Institute For Global Competitiveness

Technical Reports

No abstract provided.

Borderplex Business Barometer, Volume 4, Number 7, Thomas M. Fullerton Jr., Steven L. Fullerton, Ana Gutierrez Zubiate, Ignacio Santana

Border Region Modeling Project

No abstract provided.

Decision Making Under Interval Uncertainty Revisited, Olga Kosheleva, Vladik Kreinovich, Uyen Pham

Departmental Technical Reports (CS)

In many real-life situations, we do not know the exact values of the expected gain corresponding to different possible actions, we only have lower and upper bounds on these gains -- i.e., in effect, intervals of possible gain values. How can we made decisions under such interval uncertainty? In this paper, we show that natural requirements lead to a 2-parametric family of possible decision-making strategies.

Empirical Mysteries Of The 2016-17 Nba Regular Season, Thomas M. Fullerton Jr., James H. Holcomb, Michael L. Jaeger

Departmental Papers (E & F)

This study examines the on-court performance of the thirty National Basketball Association (NBA) teams during the 2016-17 NBA basketball season. Cross sectional data are employed to analyze wins for the 2016-17 NBA basketball season. Although the results are inconclusive, there is one notable outcome in the form of a negative correlation between team payrolls and victories. Field goal percentage is, similarly, also reliably associated with team wins. In general, the outcomes obtained stand in contrast to those reported in prior analyses conducted for major League Baseball and the National Football League. Replication of this study for the 437 teams in …