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Full-Text Articles in Social and Behavioral Sciences
Dinámica Del Consumo De Gasolina En Ciudad Juárez: 2001 - 2009, Thomas M. Fullerton Jr., Gabriel Múnoz Sapien, Martha Patricia Barraza De Anda, Lisbeily Domínguez Ruvalcaba
Dinámica Del Consumo De Gasolina En Ciudad Juárez: 2001 - 2009, Thomas M. Fullerton Jr., Gabriel Múnoz Sapien, Martha Patricia Barraza De Anda, Lisbeily Domínguez Ruvalcaba
Border Region Modeling Project
This research analyzes short-run gasoline consumption dynamics in Ciudad Juárez, Chihuahua, México. Parameter estimation is carried out using linear transfer function ARIMA analysis. This market is of interest because it is influenced by regional, national, and international economic conditions due to its location on the border with the United States. Explanatory variables that satisfy the significance criterion include the real price of gasoline in Ciudad Juárez, the price of gasoline in Ciudad Juárez relative to that charged across the border in El Paso, Texas, USA, and formal sector employment in Ciudad Juárez. Sample data are for January 2001 to December …
Why Clayton And Gumbel Copulas: A Symmetry-Based Explanation, Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta
Why Clayton And Gumbel Copulas: A Symmetry-Based Explanation, Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta
Departmental Technical Reports (CS)
In econometrics, many distributions are non-Gaussian. To describe dependence between non-Gaussian variables, it is usually not sufficient to provide their correlation: it is desirable to also know the corresponding copula. There are many different families of copulas; which family shall we use? In many econometric applications, two families of copulas have been most efficient: the Clayton and the Gumbel copulas. In this paper, we provide a theoretical explanation for this empirical efficiency, by showing that these copulas naturally follow from reasonable symmetry assumptions. This symmetry justification also allows us to provide recommendations about which families of copulas we should use …