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Daniel Santín 0001
Person information
- affiliation: Universidad Complutense de Madrid, Spain
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Journal Articles
- 2022
- [j14]Juan Aparicio, Sergio Perelman, Daniel Santín:
Comparing the evolution of productivity and performance gaps in education systems through DEA: an application to Latin American countries. Oper. Res. 22(2): 1443-1477 (2022) - 2021
- [j13]Juan Aparicio, Lidia Ortiz, Daniel Santín:
Comparing group performance over time through the Luenberger productivity indicator: An application to school ownership in European countries. Eur. J. Oper. Res. 294(2): 651-672 (2021) - 2020
- [j12]José Manuel Cordero-Ferrera, Cristina Polo, Daniel Santín-González:
Assessment of new methods for incorporating contextual variables into efficiency measures: a Monte Carlo simulation. Oper. Res. 20(4): 2245-2265 (2020) - 2018
- [j11]Juan Aparicio, Daniel Santín:
A note on measuring group performance over time with pseudo-panels. Eur. J. Oper. Res. 267(1): 227-235 (2018) - 2017
- [j10]Juan Aparicio, Eva Crespo-Cebada, Francisco Pedraja-Chaparro, Daniel Santín:
Comparing school ownership performance using a pseudo-panel database: A Malmquist-type index approach. Eur. J. Oper. Res. 256(2): 533-542 (2017) - [j9]Daniel Santín, Gabriela Sicilia:
Dealing with endogeneity in data envelopment analysis applications. Expert Syst. Appl. 68: 173-184 (2017) - [j8]José Manuel Cordero-Ferrera, Daniel Santín, Rosa Simancas:
Assessing European primary school performance through a conditional nonparametric model. J. Oper. Res. Soc. 68(4): 364-376 (2017) - 2016
- [j7]Antonio García-Romero, Daniel Santín, Gabriela Sicilia:
Another brick in the wall: a new ranking of academic journals in Economics using FDH. Scientometrics 107(1): 91-101 (2016) - 2015
- [j6]José Manuel Cordero-Ferrera, Daniel Santín, Gabriela Sicilia:
Testing the accuracy of DEA estimates under endogeneity through a Monte Carlo simulation. Eur. J. Oper. Res. 244(2): 511-518 (2015) - [j5]Fuensanta Medina-Domínguez, María Isabel Sánchez Segura, Ana María Moreno, Daniel Santín:
Collaborative tools: computer science students' skills versus software industry needs. J. Softw. Evol. Process. 27(3): 221-235 (2015) - 2014
- [j4]Daniel Santín:
Measuring the technical efficiency of football legends: who were Real Madrid's all-time most efficient players? Int. Trans. Oper. Res. 21(3): 439-452 (2014) - 2010
- [j3]José Manuel Cordero-Ferrera, Francisco Pedraja-Chaparro, Daniel Santín-González:
Enhancing the inclusion of non-discretionary inputs in DEA. J. Oper. Res. Soc. 61(4): 574-584 (2010) - 2009
- [j2]José Manuel Cordero-Ferrera, Francisco Pedraja-Chaparro, Daniel Santín:
Alternative approaches to include exogenous variables in DEA measures: A comparison using Monte Carlo. Comput. Oper. Res. 36(10): 2699-2706 (2009) - [j1]Sergio Perelman, Daniel Santín:
How to generate regularly behaved production data? A Monte Carlo experimentation on DEA scale efficiency measurement. Eur. J. Oper. Res. 199(1): 303-310 (2009)
Coauthor Index
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