- Referencia: y Ramallo, S.: “A dynamic factor model to predict homicides with firearm in the United States”. 2023, Journal of Criminal Justice, 86.
Abstract Purpose: Research on temporal dynamics of crime in the United States is growing. Yet, mathematical tools to reliably predict homicides with firearm are still lacking, due to delays in the release of official data lagging up to almost two years. This study takes a critical step in this direction by establishing a reliable statistical…
- Referencia: Buendía Azorín, J.D., Martínez Alpañez, R. y Sánchez de la Vega, M.M.: “A new proposal to model regional input–output structures using location quotients. An application to Korean and Spanish regions”. 2022, Papers in Regional Science (in press).
Abstract This paper is based on the use of Flegg’s location quotients (FLQ) and proposes a novel procedure for the estimation of the unknown parameter δ in regions with and without input–output frame availability. Applied to data for the Korean regions for the year 2015, firstly the determination of the optimal δ is addressed by…
- Referencia: y Makeienko, M.: “Symbolic Analysis Applied to the Specification of Spatial Trends and Spatial Dependence”. 2020, Entropy, 22(4), 466.
Abstract This article provides symbolic analysis tools for specifying spatial econometric models. It firstly considers testing spatial dependence in the presence of potential leading deterministic spatial components (similar to time-series tests for unit roots in the presence of temporal drift and/or time-trend) and secondly considers how to econometrically model spatial economic relations that might contain…
- Referencia: de la Llave, M.A., López, F.A. y Angulo, A.: “The impact of geographical factors on churn prediction: an application to an insurance company in Madrid’s urban area”. 2018, Scandinavian Actuarial Journal, 2019(3): 1-16.
Abstract Geography has previously been noted as a decisive factor in business literature. This paper provides evidence of the significant role geography plays in customer lapse behaviour in an urban environment. This novel approach is based on the idea that the customers who cancel all policies and leave the company are not randomly distributed; rather,…
- Referencia: de la Llave Montiel, M.A. y López, F.: “Spatial models for online retail churn: Evidence from an online grocery delivery service in Madrid”. 2020, Papers in Regional Science, 99(6): 1643-1665.
Abstract This paper presents evidence of the significant role that geography plays in customer churn behaviour in online retail. In an urban environment, mimetic behaviours are found to affect nearby individuals. This novel approach is based on the idea that customer churn is not randomly distributed across the map. This paper analyses more than 2,000…
- Referencia: y González, M.: “A Parallel Algorithm for Matheuristics: A Comparison of Optimization Solvers”. 2020, Electronics, 9(9):1541.
Abstract Metaheuristic and exact methods are one of the most common tools to solve Mixed-Integer Optimization Problems (MIPs). Most of these problems are NP-hard problems, being intractable to obtain optimal solutions in a reasonable time when the size of the problem is huge. In this paper, a hybrid parallel optimization algorithm for matheuristics is studied….
- Referencia: y Aparicio, J.: “Using non-radial DEA to assess school efficiency in a cross-country perspective: An empirical analysis of OECD countries”. 2018, Omega, vol. 79: 9-20.
Abstract In this paper we use data from OECD countries participating in PISA 2012 to assess the efficiency of schools in a cross-country framework. In the analysis, and in contrast to previous applications, we consider that schools might concentrate their efforts on improving the results in one dimension of the educational output to a greater…
- Referencia: y González, M.: “A Hyper-Matheuristic Approach for Solving Mixed Integer Linear Optimization Models in the context of Data Envelopment Analysis”. 2022, PeerJ computer Science, 8: e828..
Abstract Mixed Integer Linear Programs (MILPs) are usually NP-hard mathematical programming problems, which present difficulties to obtain optimal solutions in a reasonable time for large-scale models. Nowadays, metaheuristics are one of the potential tools for solving this type of problems in any context. In this paper, we focus our attention on MILPs in the specific…
- Referencia: López, F. A, Matilla-García, M, Mur, M, Páez, J y A. Ruiz: “A note on the SG(m) Test”. 2016, Journal of Geographical Systems, 18 (1): 87-96.
ABSTRACT López et al. (Reg Sci Urban Econ 40(2–3):106–115, 2010) introduce a nonparametric test of spatial dependence, called SG(m). The test is claimed to be consistent and asymptotically Chi-square distributed. Elsinger (Reg Sci Urban Econ 43(5):838–840, 2013) raises doubts about the two properties. Using a particular counterexample, he shows that the asymptotic distribution of the…
- Referencia: Macías, A y Mariano Matilla-García: “Net energy analysis in a Ramsey–Hotelling growth model”. 2015, Energy Policy, Volume 86, Pages 562-573.
Abstract: This article presents a dynamic growth model with energy as an input in the production function. The available stock of energy resources is ordered by a quality parameter based on energy accounting: the “Energy Return on Energy Invested” (EROI). In our knowledge this is the first paper where EROI fits in a neoclassical growth…