4 resultados para Tobit Regression

em Universidad de Alicante


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El objetivo de este trabajo consiste en estimar la eficiencia productiva y de escala con la que operan los intermediarios del sector minorista español de distribución turístico. Adicionalmente, se pretende examinar los determinantes de la eficiencia en términos de la integración vertical, concentración horizontal, tamaño y resultados de las entidades. La metodología aplicada se apoya en diversas técnicas de medición de eficiencia (paramétrica de naturaleza estocástica y no paramétrica del Análisis Envolvente de Datos, DEA), así como en modelos tobit para conocer el impacto de los factores del mercado y de la empresa sobre los niveles de eficiencia. La aplicación empírica realizada en una muestra de 50 agencias de viaje de nuestro país evidencia, por un lado, unos elevados índices de ineficiencia técnica y de escala, destacando en el último caso los rendimientos decrecientes; y por otro, que el tamaño y el ROA son los factores determinante de la eficiencia de escala, mientras que la concentración del mercado explica la eficiencia técnica.

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Phase equilibrium data regression is an unavoidable task necessary to obtain the appropriate values for any model to be used in separation equipment design for chemical process simulation and optimization. The accuracy of this process depends on different factors such as the experimental data quality, the selected model and the calculation algorithm. The present paper summarizes the results and conclusions achieved in our research on the capabilities and limitations of the existing GE models and about strategies that can be included in the correlation algorithms to improve the convergence and avoid inconsistencies. The NRTL model has been selected as a representative local composition model. New capabilities of this model, but also several relevant limitations, have been identified and some examples of the application of a modified NRTL equation have been discussed. Furthermore, a regression algorithm has been developed that allows for the advisable simultaneous regression of all the condensed phase equilibrium regions that are present in ternary systems at constant T and P. It includes specific strategies designed to avoid some of the pitfalls frequently found in commercial regression tools for phase equilibrium calculations. Most of the proposed strategies are based on the geometrical interpretation of the lowest common tangent plane equilibrium criterion, which allows an unambiguous comprehension of the behavior of the mixtures. The paper aims to show all the work as a whole in order to reveal the necessary efforts that must be devoted to overcome the difficulties that still exist in the phase equilibrium data regression problem.

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Authors discuss the effects that economic crises generate on the global market shares of tourism destinations, through a series of potential transmission mechanisms based on the main economic competitiveness determinants identified in the previous literature using a non-linear approach. Specifically a Markov Switching Regression approach is used to estimate the effect of two basic transmission mechanisms: reductions of internal and external tourism demands and falling investment.

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Tourist accommodation expenditure is a widely investigated topic as it represents a major contribution to the total tourist expenditure. The identification of the determinant factors is commonly based on supply-driven applications while little research has been made on important travel characteristics. This paper proposes a demand-driven analysis of tourist accommodation price by focusing on data generated from room bookings. The investigation focuses on modeling the relationship between key travel characteristics and the price paid to book the accommodation. To accommodate the distributional characteristics of the expenditure variable, the analysis is based on the estimation of a quantile regression model. The findings support the econometric approach used and enable the elaboration of relevant managerial implications.